Google effects on memory: cognitive consequences of having information at our fingertips

Savior or saboteur? A nationwide study on digital economy and depression in China

The regional boom in digital economy has provided people with remote conversations and socialization while reducing the risk of depression. This study aims to elucidate whether regional digital economy can be a savior for individual depression. The multi-source dataset collects 11,845 individuals from the China Health and Retirement Longitudinal Study 2018 (CHARLS), with the combination of corresponding regional data from China City Statistical Yearbooks. A series of regressions with integrated mediation and moderation analyses are employed to bridge the link between the digital economy and depression. The results suggest that people living in areas with a higher level of digital economy are less likely to suffer from depression. The development of the digital economy helps people find solace or air grievances more easily, thereby reducing the risk of depression. Individual information and communications technology (ICT) engagement is found to mediate the relationship between the regional digital economy and individual depression. Residence type moderates the association between the three casual pairs of digital economy, ICT engagement, and depression. Improved digitization stimulates personal engagement with ICTs, which in turn expands social connections and support. Strengthened social interactions naturally keep depression away. Moreover, the urban-rural differences further confirm the underlying mechanism. Properly embracing the new digital world can therefore benefit from the transformative potential and mitigate depressive outcomes.

Frequent internet use is associated with better episodic memory performance

As the internet is becoming more and more accessible and prevalent, there has been growing interest in determining the effect of internet use on human cognition, particularly memory. However, much less is known about how internet use frequency is related to episodic memory, which refers to the memory of past events as opposed to facts (i.e., semantic memory). Episodic memory is very relevant to the internet because of the notion that the internet is a form of transactive memory, which requires people to retrieve how information was accessed (i.e., episodic memory) rather than the information itself (i.e., semantic memory). By analyzing data from 36, 542 participants with 44.06% females and a mean age of 46.63 years old from the Understanding Society using multivariate and univariate analysis of variances (ANOVA), the current study found that the frequency of internet use is positively related to episodic memory (assessed using the immediate recall and delayed word recall tasks). These results provide support to the notion that the internet is a form of transactive memory and the "use it, or lose it" theory.

Don't Throw Away Your Notebook: Effects of Task Difficulty and Presentation Medium on Memory Performance

People are increasingly reliant on various electrical devices for learning and memory, yet the implications and consequences of this dependence remain poorly understood. The present study aimed to investigate how learning through electrical media impacts recall under varying task difficulties. During this study, participants encoded information related to daily life situations (low difficulty), academic conceptual knowledge (middle difficulty), or associative word pairs (high difficulty), presented on smartphones, computers, or paper. At test, they recalled the omitted content based on the provided cue information. A significant screen-inferiority effect was observed for both computers and smartphones. However, the impairment related to computers disappeared in the retrieval of daily life situations and academic conceptual knowledge, whereas the impairment associated with smartphones was consistently present across all tasks. These results suggest that memory performance is modulated by the interaction between the presentation medium and the specific demands of the task, highlighting a more pronounced screen-inferiority memory effect when the media restrict the depth of processing or when the memory tasks pose greater external challenges. A deeper understanding of these factors can guide the optimization of electrical devices to enhance human memory abilities and functions.

How does Google get its information?: Children's judgements about Google search

Children frequently use Google to answer their questions, yet what they think about Google's capacity and limitations is unclear. This study explores children's beliefs about Google's capacity to answer questions. American children ages 9 and 10 (n = 44; 18 boys and 26 girls) viewed factual questions directed towards Google or a person. After viewing each question, they reported their confidence in the informant's accuracy, the time it would take the informant to obtain the answer and how the informant would obtain the answer. Finally, they generated questions that the internet would be capable or incapable of answering. Children believed Google would be more accurate and faster than a person at answering questions. Children consistently generated appropriate questions that the internet would be good at answering, but they sometimes struggled to generate questions that the internet would not be good at answering. Implications for children's learning are discussed.

Understanding Digital Dementia and Cognitive Impact in the Current Era of the Internet: A Review

Dementia encompasses symptoms resulting from brain damage that impairs cognitive functions, surpassing natural aging effects. This condition affects emotional regulation, behavior, and motivation while preserving consciousness. Dr. Manfred Spitzer coined the term 'digital dementia,' highlighting the cognitive decline associated with excessive reliance on digital devices such as smartphones and Google, potentially exacerbating attention deficit hyperactivity disorder (ADHD) and memory loss. This condition mirrors terms like 'digital amnesia' and 'the Google Effect,' highlighting the brain's tendency to offload peripheral information, leading to panic and forgetfulness. Spitzer's book, Digital Dementia, focuses on gaming effects on children and has thus popularized the term. Teenagers are known to use electronic devices regularly, correlating with rising cognitive impairments. The advent of the internet's fifth generation (5G) has transformed technology use, impacting mental health treatments and clinical practices globally. Digital media's influence on the developing brain encompasses motor skills, language, and cognition. Excessive digital media use in young adults correlates with lower cognitive empathy, affecting interpersonal understanding and facial recognition. Studies link heavy reliance on web-based media to decreased white matter integrity, crucial for language skills. Adolescents may be more vulnerable to anxiety and unrealistic expectations due to digital media overuse.  Digital media overuse impacts brain development, especially cognitive and inhibitory control, attention, memory, and reasoning, essential for adapting to dynamic environments. Early exposure to fast-paced media can impair motor skills, spatial awareness, problem-solving, and language learning. Neuroimaging studies reveal that environmental factors like screen usage affect brain networks controlling social-emotional behavior and executive functions. Overreliance on smartphones diminishes gray matter in key brain regions, affecting cognitive and emotional regulation. The internet generation, characterized by advancements such as Web 3.0, introduces artificial intelligence and semantic web technologies, reshaping digital content processing. The neurobiological basis of digital dementia involves changes in the brain structure and function, with excessive screen exposure linked to cognitive impairments. Neuroplasticity, or the brain's adaptability, plays a role in cognitive decline from digital media overuse. Early childhood and adolescent brain development stages exhibit significant plasticity, influencing cognitive trajectories.  Addressing digital dementia requires strategies to reduce screen time, promote cognitive exercises, and enhance awareness. Parents should regulate children's screen usage, encourage digital detox periods, and substitute screen time with other activities. Cognitive training programs such as Cogmed (Neural Assembly Int AB, Stockholm, SWE) and CogniFit (San Francisco, CA, USA) can improve memory and attention in older adults. Promoting balanced technology use and educating on the risks of excessive digital media consumption is crucial for maintaining cognitive health in the digital age.

Responsible remembering: The role of metacognition, forgetting, attention, and retrieval in adaptive memory

In our everyday lives, we must remember important information, especially if there are consequences for forgetting. In this review, I discuss recent work on responsible remembering: the strategic and effortful prioritization of important information with consequences for forgetting. Thus far, research regarding responsible remembering has revealed several key factors and mechanisms that work together to enhance memory for important information that will continue to be refined: the identification and selection of what to remember (metacognitive reflectivity), the forgetting of less important information to facilitate memory for items that do need to be remembered (responsible forgetting), the functional prioritization of attention at the expense of competing factors (responsible attention), and the selective recall of important information via efficient retrieval strategies (responsible retrieval). Together, these functions form a cohesive system that aims to selectively prioritize, encode, and recall information that is deemed important based on its anticipated utility or the consequences of forgetting, and considering the importance of information may be a critical memory adaptation as we age. Specifically, if younger and older adults learn to self-assess and prioritize important information that has negative consequences if forgotten, engage in strategic forgetting, efficiently allocate their attentional resources, and utilize effective retrieval operations, memory for said important information can be enhanced.

The saving enhanced memory effect can be observed when only a subset of items are saved

Saving one list of words, such as on a computer or by writing them down, can improve a person's ability to learn and remember a second list of words that are not saved. This phenomenon, known as the saving enhanced memory effect, is typically observed by comparing the recall of nonsaved items when other items are saved versus when they are not saved. In past research, the effect has been shown to occur when participants save an entire list before learning a new list. In the current research, we examined whether the effect can be observed when participants save a subset of items within a single list. The results of two experiments confirmed that partial saving can lead to a saving enhanced memory effect, with the effect observed regardless of whether participants saved items by clicking a button on the computer or writing them out by hand. The effect was observed on an item-specific cued-recall test (Experiment 1) as well as a free recall test that did not control the order of output (Experiment 2). However, the effect size did vary as a function of how participants attempted to recall the items on the final test. Specifically, participants who initiated their output by recalling nonsaved items exhibited a significantly larger saving enhanced memory effect than those who initiated their output by reproducing saved items. Together, these findings expand our understanding of the saving enhanced memory effect and shine new light on the impacts of cognitive offloading on human memory.

Twitter Discussions on #digitaldementia: Content and Sentiment Analysis

BACKGROUND

Digital dementia is a term that describes a possible decline in cognitive abilities, especially memory, attributed to the excessive use of digital technology such as smartphones, computers, and tablets. This concept has gained popularity in public discourse and media lately. With the increasing use of social media platforms such as Twitter (subsequently rebranded as X), discussions about digital dementia have become more widespread, which offer a rich source of information to understand public perceptions, concerns, and sentiments regarding this phenomenon.

OBJECTIVE

The aim of this research was to delve into a comprehensive content and sentiment analysis of Twitter discussions regarding digital dementia using the hashtag #digitaldementia.

METHODS

Retrospectively, publicly available English-language tweets with hashtag combinations related to the topic of digital dementia were extracted from Twitter. The tweets were collected over a period of 15 years, from January 1, 2008, to December 31, 2022. Content analysis was used to identify major themes within the tweets, and sentiment analysis was conducted to understand the positive and negative emotions associated with these themes in order to gain a better understanding of the issues surrounding digital dementia. A one-way ANOVA was performed to gather detailed statistical insights regarding the selected tweets from influencers within each theme.

RESULTS

This study was conducted on 26,290 tweets over 15 years by 5123 Twitter users, mostly female users in the United States. The influencers had followers ranging from 20,000 to 1,195,000 and an average of 214,878 subscribers. The study identified four themes regarding digital dementia after analyzing tweet content: (1) cognitive decline, (2) digital dependency, (3) technology overload, and (4) coping strategies. Categorized according to Glaser and Strauss's classifications, most tweets (14,492/26,290, 55.12%) fell under the categories of wretched (purely negative) or bad (mostly negative). However, only a small proportion of tweets (3122/26,290, 11.86%) were classified as great (purely positive) or swell sentiment (mostly positive). The ANOVA results showed significant differences in mean sentiment scores among the themes (F3,3581=29.03; P<.001). The mean sentiment score was -0.1072 (SD 0.4276).

CONCLUSIONS

Various negative tweets have raised concerns about the link between excessive use of digital devices and cognitive decline, often known as digital dementia. Of particular concern is the rapid increase in digital device use. However, some positive tweets have suggested coping strategies. Engaging in digital detox activities, such as increasing physical exercise and participating in yoga and meditation, could potentially help prevent cognitive decline.

Understanding Human-Autonomy Teams Through a Human-Animal Teaming Model

The relationship between humans and animals is complex and influenced by multiple variables. Humans display a remarkably flexible and rich array of social competencies, demonstrating the ability to interpret, predict, and react appropriately to the behavior of others, as well as to engage others in a variety of complex social interactions. Developing computational systems that have similar social abilities is a critical step in designing robots, animated characters, and other computer agents that appear intelligent and capable in their interactions with humans and each other. Further, it will improve their ability to cooperate with people as capable partners, learn from natural instruction, and provide intuitive and engaging interactions for human partners. Thus, human-animal team analogs can be one means through which to foster veridical mental models of robots that provide a more accurate representation of their near-future capabilities. Some digital twins of human-animal teams currently exist but are often incomplete. Therefore, this article focuses on issues within and surrounding the current models of human-animal teams, previous research surrounding this connection, and the challenges when using such an analogy for human-autonomy teams.

Cognitive offloading is value-based decision making: Modelling cognitive effort and the expected value of memory

How do people decide between maintaining information in short-term memory or offloading it to external reminders? How does this affect subsequent memory? This article presents a simple computational model based on two principles: A) items stored in brain-based memory occupy its limited capacity, generating an opportunity cost; B) reminders incur a small physical-action cost, but capacity is effectively unlimited. These costs are balanced against the value of remembering, which determines the optimal strategy. Simulations reproduce many empirical findings, including: 1) preferential offloading of high-value items; 2) increased offloading at higher memory loads; 3) offloading can cause forgetting of offloaded items ('Google effect') but 4) improved memory for other items ('saving-enhanced memory'); 5) reduced saving-enhanced-memory effect when reminders are unreliable; 6) influence of item-value: people may preferentially offload high-value items and store additional low-value items in brain-based memory; 7) greatest sensitivity to the effort of reminder-setting at intermediate rather than highest/lowest levels of task difficulty; 8) increased offloading in individuals with poorer memory ability. Therefore, value-based decision-making provides a simple unifying account of many cognitive offloading phenomena. These results are consistent with an opportunity-cost model of cognitive effort, which can explain why internal memory feels effortful but reminders do not.

Mediation of transactive memory capability in relationship of social media usage and job performance

This study explores the role of transactive memory capability as a mediator in the relationship between social media usage and job performance. Drawing on transactive memory theory, we hypothesized that individuals who use social media more intensively for task-oriented purposes and relationship building are more likely to develop transactive memory capability, which in turn enhances their job performance. A survey was conducted among 816 employees in China from various industries to collect data on their social media usage patterns, transactive memory capability, and job performance. Results from structural equation modeling indicate that social media usage has a positive impact on job performance. Additionally, transactive memory capability mediates the relationship between social media usage and job performance. This study has contribution in literature by demonstrating the beneficial effects of social media usage on the development of transactive memory capability and job performance. It is suggested that social media usage can be used a valuable tool for enhancing performance of employees. Employees should gain an understanding of how social media fosters the development of transactive memory capability to utilize it more effectively. These findings also suggest that the way individuals use social media can influence their ability to access and share knowledge within their social networks, ultimately impacting their job performance.

Human and AI collaboration in the higher education environment: opportunities and concerns

In service of the goal of examining how cognitive science can facilitate human-computer interactions in complex systems, we explore how cognitive psychology research might help educators better utilize artificial intelligence and AI supported tools as facilitatory to learning, rather than see these emerging technologies as a threat. We also aim to provide historical perspective, both on how automation and technology has generated unnecessary apprehension over time, and how generative AI technologies such as ChatGPT are a product of the discipline of cognitive science. We introduce a model for how higher education instruction can adapt to the age of AI by fully capitalizing on the role that metacognition knowledge and skills play in determining learning effectiveness. Finally, we urge educators to consider how AI can be seen as a critical collaborator to be utilized in our efforts to educate around the critical workforce skills of effective communication and collaboration.

Do Smartphone Addiction and Self-Regulation Failures Affect Students' Academic Life Satisfaction? The Role of Students' Mind Wandering and Cognitive Failures

Purpose

The purpose of this study is to investigate how smartphone addiction and self-regulation failure influence students' academic life satisfaction considering the impacts of students' mind wandering and cognitive failures. It also sought to look at how students' minds wander, and cognitive failures are affected by smartphone addiction and self-regulation failure among university students.

Methods

The WarpPLS-SEM software was used to analyze the research data retrieved from a sample of 950 undergraduate students from universities in Egypt and the Kingdom of Saudi Arabia (KSA).

Results

In both countries, the findings revealed that students' smartphone addiction and self-regulation failures negatively affect students' academic life satisfaction and positively affect students' mind wandering and cognitive failures. Additionally, smartphone addiction is positively related to failures of students' self-regulation. Besides the negative influences of students' cognitive failures on their academic life satisfaction, cognitive failures mediated negatively the relationship between mind wandering and students' academic life satisfaction. Finally, students' mind wandering mediated the relationship between smartphone addiction, self-regulation failure, and academic life satisfaction.

Discussion

The study introduces fresh insights into the study variables that can be used to expand the literature on academic life satisfaction. The study provides theoretical and practical contributions to students, educators, and policymakers of education.

Artificial intelligence and illusions of understanding in scientific research

Scientists are enthusiastically imagining ways in which artificial intelligence (AI) tools might improve research. Why are AI tools so attractive and what are the risks of implementing them across the research pipeline? Here we develop a taxonomy of scientists' visions for AI, observing that their appeal comes from promises to improve productivity and objectivity by overcoming human shortcomings. But proposed AI solutions can also exploit our cognitive limitations, making us vulnerable to illusions of understanding in which we believe we understand more about the world than we actually do. Such illusions obscure the scientific community's ability to see the formation of scientific monocultures, in which some types of methods, questions and viewpoints come to dominate alternative approaches, making science less innovative and more vulnerable to errors. The proliferation of AI tools in science risks introducing a phase of scientific enquiry in which we produce more but understand less. By analysing the appeal of these tools, we provide a framework for advancing discussions of responsible knowledge production in the age of AI.

Understanding Collective Intelligence: Investigating the Role of Collective Memory, Attention, and Reasoning Processes

As society has come to rely on groups and technology to address many of its most challenging problems, there is a growing need to understand how technology-enabled, distributed, and dynamic collectives can be designed to solve a wide range of problems over time in the face of complex and changing environmental conditions-an ability we define as "collective intelligence." We describe recent research on the Transaction Systems Model of Collective Intelligence (TSM-CI) that integrates literature from diverse areas of psychology to conceptualize the underpinnings of collective intelligence. The TSM-CI articulates the development and mutual adaptation of transactive memory, transactive attention, and transactive reasoning systems that together support the emergence and maintenance of collective intelligence. We also review related research on computational indicators of transactive-system functioning based on collaborative process behaviors that enable agent-based teammates to diagnose and potentially intervene to address developing issues. We conclude by discussing future directions in developing the TSM-CI to support research on developing collective human-machine intelligence and to identify ways to design technology to enhance it.

Mindware: Critical Thinking in Everyday Life

Humans make many decisions in everyday life, some of which require careful use of evidence. Because emotional and heuristic mental processes dominate human cognition, it is common to suggest that there is little hope that critical thinking tools will be widely used. However, the concept of "mindware" gives hope to the idea that critical thinking skills may be more widely deployed than they currently are. This article reflects on some impediments to critical thinking, assesses some future challenges to critical thinking being more widely used, and suggests that "mindware" modules can be used widely both in and out of educational settings to significantly enhance critical thinking in everyday life.

Immersion in nature enhances neural indices of executive attention

There is conjecture that our modern urban environments place high demand on our attentional resources, which can become depleted over time and cause mental fatigue. Natural environments, on the other hand, are thought to provide relief from this demand and allow our resources to be replenished. While these claims have been assessed with self-report and behavioral measures, there is limited understanding of the neural mechanisms underlying these attentional benefits. The present randomized controlled trial fills this gap in the literature by using electroencephalography to explore three aspects of attention-alerting, orienting, and executive control-from a behavioral and neural perspective. Participants (N = 92) completed the Attention Network Task before and after either a 40-min walk in nature or a 40-min walk in a control, urban environment. Participants that walked in nature reported their walk to be more restorative than those that walked in the urban environment. Furthermore, the nature group showed an enhanced error-related negativity after their walk, an event-related brain component that indexes executive control capacity, whereas the urban group did not. These findings demonstrate that a 40-min nature walk enhances executive control at a neural level, providing a potential neural mechanism for attention restoration in nature.

Google effects on memory: a meta-analytical review of the media effects of intensive Internet search behavior

People are increasingly using the web for fact-checking and other forms of information seeking. The "Google effects" refers to the idea that individuals rely on the Internet as a source of knowledge rather than remembering it for themselves. However, few literature review have yet comprehensively examined the media effects of this intensive Internet search behavior. In this study, by carrying out meta-analysis, we found that google effects is closely associated with cognitive load, behavioral phenotype and cognitive self-esteem. And this phenomenon is also more likely to happen while using a mobile phone to browse the Internet rather than a computer. People with a larger knowledge base are less susceptible to the consequences of Internet use than those with a smaller knowledge base. The media effect was stronger for persons who had used the Internet before than for those who had not. And meta-analyses show that participants in North America (parameter = -1.0365, 95%CI = [-1.8758, -0.1972], p < 0.05) are more susceptible to frequent Internet search behavior relative to other regions. Overall, google effects on memory challenges the way individuals seek and read information, and it may lead to changes in cognitive and memory mechanisms.

Storing, Not Reading: Investigating the Link Between Upward Social Comparison via Social Media and Digital Hoarding Behavior in Chinese Youth

Background

Digital hoarding has emerged as a pervasive psychological phenomenon and behavioral challenge among contemporary youth. This study focused on exploring the relationship between upward social comparison via social media, fear of missing out (FoMO), mindfulness, digital hoarding behavior, and its underlying mechanisms.

Methods

A total of 927 young people participated in this cross-sectional study. Research instruments included the Social Comparison Scale, the Fear of Missing Out Scale, the Mindfulness Measure, and the Digital Hoarding Behavior Questionnaire. The data analysis comprised descriptive statistics and correlation analyses. Advanced analyses were conducted using Model 4 for mediation and Model 8 for moderation from the PROCESS macro.

Results

(1) Upward social comparison via social media was a strong predictor of digital hoarding behavior, even after controlling for variables such as gender, age, and education. (2) FoMO mediated the relationship between upward social comparison via social media and digital hoarding. (3) Mindfulness moderated both the direct effect of upward social comparison via social media on digital hoarding and the first segment of the mediating role of FoMO.

Discussion

The study further clarified the antecedents and psychological mechanisms that drive digital hoarding behavior. The findings contribute new perspectives for understanding the emerging concept of digital hoarding, while providing empirical evidence and valuable guidance for encouraging young adults to use social media responsibly and reduce impulsive hoarding tendencies.

What generative AI means for trust in health communications

ABSTRACTLarge language models are fundamental technologies used in interfaces like ChatGPT and are poised to change the way people access and make sense of health information. The speed of uptake and investment suggests that these will be transformative technologies, but it is not yet clear what the implications might be for health communications. In this viewpoint, we draw on research about the adoption of new information technologies to focus on the ways that generative artificial intelligence (AI) tools like large language models might change how health information is produced, what health information people see, how marketing and misinformation might be mixed with evidence, and what people trust. We conclude that transparency and explainability in this space must be carefully considered to avoid unanticipated consequences.

Digital consumer behaviour: insights into the perceptions of late adolescents' consumption of digital media on cognitive health

OBJECTIVES

Digital media has become an indispensable facet of adolescents' everyday lives, playing a crucial role in their daily routines, encompassing various activities such as accessing information, accomplishing academic tasks, and facilitating interpersonal communication. Literature evidence on the effects of digital media on cognitive health is bi-directional, having both positive and negative impacts. The present research aimed to explore the perceptions of digital media consumption on cognitive health in late adolescents between the age of 17 and 21 years.

METHODS

A self-reported online survey was administered to 173 adolescents, and the data were analysed using statistical software (SPSS 17).

RESULTS

The findings revealed that some late adolescents recognize the importance of cognition in their daily activities and health, particularly for activities focused on cognitive, academic, personal, and social skills. Mobile phones, laptops, and television were the most commonly preferred gadgets, while e-pads, Alexa, smartwatches, Kindle, tablets, and play stations were less preferred. Interestingly, a high proportion of participants reported neutral perceptions of digital media's influence on cognitive health, highlighting the need to create awareness and educate late adolescents on healthy digital media consumption.

CONCLUSIONS

The findings hold significant implications for the development of comprehensive guidelines and evidence-based recommendations for digital media usage among late adolescents. Additionally, the research sheds light on the strategies adopted by adolescents to regulate and optimize their consumption of digital media, thereby providing valuable insights into effective practices and potential areas for improvement.

Exploring the Clinical Translation of Generative Models Like ChatGPT: Promise and Pitfalls in Radiology, From Patients to Population Health

Generative artificial intelligence (AI) tools such as GPT-4, and the chatbot interface ChatGPT, show promise for a variety of applications in radiology and health care. However, like other AI tools, ChatGPT has limitations and potential pitfalls that must be considered before adopting it for teaching, clinical practice, and beyond. We summarize five major emerging use cases for ChatGPT and generative AI in radiology across the levels of increasing data complexity, along with pitfalls associated with each. As the use of AI in health care continues to grow, it is crucial for radiologists (and all physicians) to stay informed and ensure the safe translation of these new technologies.

Cognitive perspectives on maintaining physicians' medical expertise: III. Strengths and weaknesses of self-assessment

Is self-assessment enough to keep physicians' cognitive skills-such as diagnosis, treatment, basic biological knowledge, and communicative skills-current? We review the cognitive strengths and weaknesses of self-assessment in the context of maintaining medical expertise. Cognitive science supports the importance of accurately self-assessing one's own skills and abilities, and we review several ways such accuracy can be quantified. However, our review also indicates a broad challenge in self-assessment is that individuals do not have direct access to the strength or quality of their knowledge and instead must infer this from heuristic strategies. These heuristics are reasonably accurate in many circumstances, but they also suffer from systematic biases. For example, information that feels easy to process in the moment can lead individuals to overconfidence in their ability to remember it in the future. Another notable phenomenon is the Dunning-Kruger effect: the poorest performers in a domain are also the least accurate in self-assessment. Further, explicit instruction is not always sufficient to remove these biases. We discuss what these findings imply about when physicians' self-assessment can be useful and when it may be valuable to supplement with outside sources.

Remembering in the Digital World: Autobiographical Memory in Social Media

The use of social media continues to increase in modern cultures in recent years. This new context leads to creating a virtual self, which somewhat differs from the real self. Further, social relations are set and maintained predominantly in this new context. There is no doubt that social media does not only affect individuals' social relations but also their cognitive skills by pulling them into new situations that they are unfamiliar with. In this new context, content coded in social media can be remembered in real life, and content coded in real life can be remembered in social media. This new context, where mostly real-life stories are shared, is likely to strongly affect the autobiographical memory processes of individuals. Past research suggests that social media affects autobiographical memory processes both directly (phenomenological characteristics, functions) and indirectly through cognitive processes (eg, attention, working memory, transitive memory). Studies about its indirect effects indicate that people with limited attention and working memory capacity have difficulty processing the high number of stimuli offered by social media. Given that the long-term memory capacity is not limited, it is plausible to expect that some of the contents are encoded into the memory; however, problems may occur in the storage and retrieval processes. Studies about the direct effect of social media show that the phenomenological characteristics (number of details, accuracy, emotional content) and functions (self, social, directing, therapeutic) of events experienced or shared on social media differ from real-life events. This theoretical review discusses the effects of social media use on cognitive processes related to memory processes and more specifically on the phenomenological and functional characteristics of autobiographical memory. To recognize and prevent potential psychological issues that may emerge in relation to this new setting, it appears essential to comprehend how social media affects autobiographical memory, which is essential for self-perception.

Fostering Collective Intelligence in Human-AI Collaboration: Laying the Groundwork for COHUMAIN

Artificial Intelligence (AI) powered machines are increasingly mediating our work and many of our managerial, economic, and cultural interactions. While technology enhances individual capability in many ways, how do we know that the sociotechnical system as a whole, consisting of a complex web of hundreds of human-machine interactions, is exhibiting collective intelligence? Research on human-machine interactions has been conducted within different disciplinary silos, resulting in social science models that underestimate technology and vice versa. Bringing together these different perspectives and methods at this juncture is critical. To truly advance our understanding of this important and quickly evolving area, we need vehicles to help research connect across disciplinary boundaries. This paper advocates for establishing an interdisciplinary research domain-Collective Human-Machine Intelligence (COHUMAIN). It outlines a research agenda for a holistic approach to designing and developing the dynamics of sociotechnical systems. In illustrating the kind of approach, we envision in this domain, we describe recent work on a sociocognitive architecture, the transactive systems model of collective intelligence, that articulates the critical processes underlying the emergence and maintenance of collective intelligence and extend it to human-AI systems. We connect this with synergistic work on a compatible cognitive architecture, instance-based learning theory and apply it to the design of AI agents that collaborate with humans. We present this work as a call to researchers working on related questions to not only engage with our proposal but also develop their own sociocognitive architectures and unlock the real potential of human-machine intelligence.

Digital Danger in Our Pockets: Effect of Smartphone Overuse on Mental Fatigue and Cognitive Flexibility

ABSTRACT

Smartphones have become essential to life in Western society. This situation reached its peak, especially during the pandemic period. The possibility that smartphone use has negative impact on brain activity has attracted increasing interest among researchers. Medical faculty students were contacted via e-mail and invited to participate in the study. Participants completed the Smartphone Addiction Scale (SAS), the Mental Fatigue Scale (MFS), and the Cognitive Flexibility Inventory (CFI). The total SAS scores of participants with mental fatigue were significantly higher than those of participants without mental fatigue (p < 0.001). In the smartphone addiction tendency group, the total MFS scores were significantly higher, and the total CFI scores were significantly lower than the scores of the control group (p < 0.001 for both). In the logistic regression analysis, the total SAS score was associated with the development of mental fatigue (B coefficient, 0.031, p < 0.001). This study identified potential relationships between smartphone addiction, mental fatigue, and cognitive flexibility. We suggest that smartphone overuse may be an independent risk factor for the development of mental fatigue.

Memory compensation strategies in everyday life: similarities and differences between younger and older adults

Memory compensation strategies serve an important role in everyday functioning, especially in the face of cognitive decline. Research on the external memory compensation strategies employed by older adults has focused almost entirely on non-digital tools. Less is known about how memory compensation strategies might have changed due to the rapid and widespread uptake of digital technologies. In the current research, 208 younger adults and 114 older adults freely reported what internal or external memory strategy or tool they would use to accomplish 20 different everyday memory tasks. Participants' responses were coded as involving either internal (e.g. using a mnemonic) or external (e.g. writing a list) strategies, and then underwent further categorisation to classify types of internal and external strategies (e.g. digital or physical tool). Findings indicated that external strategies were much more prevalent than internal strategies for both younger and older adults, and that digital compensation strategies were prevalent for both age groups. There were age differences such that older adults reported more strategies overall, and were less likely to report digital tools, more likely to report physical tools, more likely to report environmental tools, and less likely to report social tools than younger adults. Positive attitudes to technology were associated with digital tool use for older but not younger participants. Findings are discussed in terms of existing theories and approaches to studying memory compensation strategies and cognitive offloading.

Measuring Cognitive and Social Interactive Attributes of Digital Natives: Development and Validation of a Scale

Scholars refer to individuals who have been immersed in digital environments and who make easy use of digital languages to interact with the world as "digital natives," and Teo proposed four attributes of digital natives to illustrate their behavioral tendencies. We aimed to expand Teo's framework and to develop and validate the Scale of Digital Native Attributes (SDNA) for measuring cognitive and social interactive attributes of digital natives. Based on pre-test results, we retained 10 attributes and 37 SDNA items, with 3-4 items in each sub-dimension. We then recruited 887 Taiwanese undergraduates as respondents and conducted confirmatory factor analysis to establish construct validity. Moreover, the SDNA correlated with several other related measurements to demonstrate satisfactory criterion-related validity. Internal consistency was evaluated by McDonald's Omega (ω) and Cronbach's α coefficient, showing satisfactory reliability. This preliminary tool is now ready for cross validation and temporal reliability testing in further research.

Internet use, users, and cognition: on the cognitive relationships between Internet-based technology and Internet users

BACKGROUND

This study aims to investigate growing Internet use in relation to memory and cognition. Though literature reveals human capability to utilize the Internet as a transactive memory source, the formational mechanisms of such transactive memory systems are not extensively explored. The Internet's comparative effects on transactive memory and semantic memory are also relatively unknown.

METHODS

This study comprises two experimental memory task survey phases utilizing null hypothesis and standard error tests to assess significance of results.

RESULTS

When information is expected to be saved and accessible, recall rates are lower, regardless of explicit instructions to remember (Phase 1, N = 20). Phase 2 suggests the importance of order of attempted recall: depending on whether users first attempt to recall (1) desired information or (2) the information's location, subsequent successful cognitive retrieval is more likely to occur for (1) only desired information or both desired information and location thereof or (2) only desired information's location, respectively (N = 22).

CONCLUSIONS

This study yields several theoretical advances in memory research. The notion of information being saved online and accessible in the future negatively affects semantic memory. Phase 2 reveals an adaptive dynamic-(1) as Internet users often have a vague idea of desired information before searching for it on the Internet, first accessing semantic memory serves as an aid for subsequent transactive memory use and (2) if transactive memory access is successful, the need to retrieve desired information from semantic memory is inherently eliminated. By repeatedly defaulting to first accessing semantic memory and then transactive memory or to accessing transactive memory only, Internet users may form and reinforce transactive memory systems with the Internet, or may refrain from enhancing and decrease reliance on transactive memory systems by repeatedly defaulting to access only semantic memory; the formation and permanence of transactive memory systems are subject to users' will. Future research spans the domains of psychology and philosophy.

The division of linguistic labour for offloading conceptual understanding

The division of linguistic labour (DLL), initially theorized by philosophers, has gained the attention of cognitive scientists in the last decade. Contrary to some controversial philosophical accounts of DLL, we propose that it is an extended mind strategy of offloading conceptual understanding onto other people. In this article, we empirically explore this proposal by providing an exploratory experimental paradigm to search for the mechanisms underwriting DLL and how they may work in practice. We developed a between-subjects experiment in which participants had to categorize two pairs of highly confusable dog breeds after receiving categorization training on just one pair of breeds. In the treatment group, participants were grouped in dyads and were allowed to interact with each other by means of the labels of these four dog breeds. In their queries to trained 'experts', novices frequently used labels to refer to breeds that they could not identify themselves. Experts were highly responsive to their paired novices' queries, and the rates of querying for the two members within a dyad were positively correlated. Independent categorization failure and offloading categorization success lead to subsequent increases in querying by novices, indicating adaptive use of offloading. Self-reports of breed knowledge were higher for experts within a dyad compared to isolated experts. This article is part of the theme issue 'Concepts in interaction: social engagement and inner experiences'.

Navigation Aid use and Human Wayfinding: How to Engage People in Active Spatial Learning

In our daily life navigation systems play a pivotal role. These technical aids are used to find a way in unknown environments. Nowadays, they are already integrated into cars or available as smartphone apps. However, navigation is not necessarily successful when using such navigation aids. A highly debated but widely accepted consensus is that the increased use of navigation aids is associated with decreasing navigation skills (i.e., cognitive skills) and social interaction. In the current discussion paper, we therefore want to focus on how to reduce such (possibly) detrimental effects while engaging people in active spatial learning during the use of a navigation device. As we will demonstrate, such an active engagement can be realized rather easily and in a very simple manner: an explicit instruction (and people’s will to follow it). The way the instruction and the task are presented does not seem to matter (i.e., self-read, experimenter-read, or AI-read). The most simple but decisive element for effective wayfinding may be found on the individual psychological level, rather than on the design level for artificial systems. Thus, our discussion paper wants to 1) provide ideas on how to reduce possible detrimental effects in wayfinding (short-term and long-term) and 2) stimulate research on the psychological issues in addition to the technical issues.

The worst mistake 2.0? The digital revolution and the consequences of innovation

The invention of agriculture 12,000 years ago has been called the worst mistake in human history. Alongside the social, political, and technological innovations that stemmed from it, there came a litany of drawbacks ranging from social inequality, a decline in human health, to the concentration of power in the hands of a few. Millennia after the invention of agriculture, another revolution-the digital revolution-is having a similar impact on humanity, albeit at a scale and speed measured in decades. Despite the tremendous advances brought about by this revolution, there is today a rapidly expanding gulf within and between societies along technological lines; alarming effects on sociality and cognition due to a persistent online presence; and a concentration of power in the form of wealth and data within a handful of tech companies, the likes of which has never been seen before. While the effects of agriculture can now be discerned with thousands of years of hindsight, those of the digital revolution can be witnessed in real time. Is the digital revolution paving the way for a more equitable and stable world, or is it leading humanity down a road that will prove to be more detrimental the more ensconced in technology we become?

Explanatory machine learning for justified trust in human-AI collaboration: Experiments on file deletion recommendations

In the digital age, saving and accumulating large amounts of digital data is a common phenomenon. However, saving does not only consume energy, but may also cause information overload and prevent people from staying focused and working effectively. We present and systematically examine an explanatory AI system (Dare2Del), which supports individuals to delete irrelevant digital objects. To give recommendations for the optimization of related human-computer interactions, we vary different design features (explanations, familiarity, verifiability) within and across three experiments (N ₁ = 61, N ₂ = 33, N ₃= 73). Moreover, building on the concept of distributed cognition, we check possible cross-connections between external (digital) and internal (human) memory. Specifically, we examine whether deleting external files also contributes to human forgetting of the related mental representations. Multilevel modeling results show the importance of presenting explanations for the acceptance of deleting suggestions in all three experiments, but also point to the need of their verifiability to generate trust in the system. However, we did not find clear evidence that deleting computer files contributes to human forgetting of the related memories. Based on our findings, we provide basic recommendations for the design of AI systems that can help to reduce the burden on people and the digital environment, and suggest directions for future research.

Responsible Remembering and Forgetting in Younger and Older Adults

Although older adults are often concerned about instances of forgetting, forgetting can be a useful feature of our memory system. Specifically, strategically forgetting less important information can benefit memory for goal-relevant information (i.e., responsible remembering and responsible forgetting). In two experiments, we presented younger and older adults with a list of words (either unrelated words or items to bring on a camping trip) with a cue indicating whether participants ("You") or their "Friend" was responsible for remembering each item. Results revealed that both younger and older adults engaged in responsible remembering and forgetting by better remembering items they were responsible for remembering, indicating a strategic utilization of their limited memory capacity. Additionally, regardless of age and the cue indicating who was responsible for remembering each item, participants used importance to guide the encoding and retrieval of information. Thus, people may be able to engage strategic cognitive mechanisms to maximize memory utility for important, goal-relevant information, and responsible forgetting can enhance memory utility in both younger and older adults by using importance to drive memory and reduce consequences for forgetting.

Association between WeChat Use and Memory Performance among Older Adults in China: The Mediating Role of Depression

Changes to memory performance in the course of aging may be influenced by behavioral factors. The use of social media among elderly people is increasing, but studying its effect on cognitive functions such as memory remains at an early stage of development. Meanwhile, the linking mechanisms underlying the association between social media use and memory performance, if any exist, have not been revealed. This study attempted to examine the association between the use of WeChat, the most popular social media platform in China, and memory performance among older people, and to test the possible mediating role of depression underlying this association. Data were drawn from the five-wave survey of the China Family Panel Study (CFPS), and 4929 respondents aged 60 or older (mean age = 68.19, SD = 5.84, 48.2% females) were included. Based on the descriptive statistics, the chi-squared test, Student’s t-test, correlation analysis, and mediation analysis were conducted. The results indicated that the usage rate of WeChat among the sample was 20.1%. After controlling for demographic variables, the use of WeChat was related to higher levels of memory performance and lower levels of depression. Moreover, depression partially mediated the relationship between WeChat use and memory performance. To maintain memory performance and promote cognitive health in the course of aging, using social media and alleviating depression merit special attention.

Loss aversion, the endowment effect, and gain-loss framing shape preferences for noninstrumental information

We often talk about interacting with information as we would with a physical good (e.g., "consuming content") and describe our attachment to personal beliefs in the same way as our attachment to personal belongings (e.g., "holding on to" or "letting go of" our beliefs). But do we in fact value information the way we do objects? The valuation of money and material goods has been extensively researched, but surprisingly few insights from this literature have been applied to the study of information valuation. This paper demonstrates that two fundamental features of how we value money and material goods embodied in Prospect Theory-loss aversion and different risk preferences for gains versus losses-also hold true for information, even when it has no material value. Study 1 establishes loss aversion for noninstrumental information by showing that people are less likely to choose a gamble when the same outcome is framed as a loss (rather than gain) of information. Study 2 shows that people exhibit the endowment effect for noninstrumental information, and so value information more, simply by virtue of "owning" it. Study 3 provides a conceptual replication of the classic "Asian Disease" gain-loss pattern of risk preferences, but with facts instead of human lives, thereby also documenting a gain-loss framing effect for noninstrumental information. These findings represent a critical step in building a theoretical analogy between information and objects, and provide a useful perspective on why we often resist changing (or losing) our beliefs.

Prevalence of digital amnesia, somatic symptoms and sleep disorders among youth during COVID-19 pandemic

Background

The proliferation of COVID-19 radically altered people's daily routines over the last two years, particularly among young. Closures of schools and colleges resulted in virtual learning that increased reliance on gadgets causing digital dependency among youth. The prevalence of digital amnesia, somatic symptoms and sleep disorders among youth during this pandemic require considerable attention since it has not been addressed widely.

Methods

Cross-sectional study was carried out among 326 youth aged between 18 to 25 years. Digital Amnesia Scale, Somatic Symptom Disorder-B Criteria Scale (SSD-12) and Sleep disorders Symptom Checklist (SDS-CL-17) were used to collect data from participants.

Results

Significant positive relationship was found between digital amnesia, somatic symptoms and sleep disorders among youth. Youth differed significantly in their somatic symptoms based on demographic variables such as gender, family type and area of residence. Digital amnesia had significant impact on somatic symptoms through the mediation effect of insomnia and circadian rhythm dimensions of sleep disorders.

Conclusion

Productive use of digital devices would help youth reduce digital amnesia. Practicing digital break/digital detox could also help them improve their cognitive, affective and behavioural aspects, as well as their quality of sleep.

Study effort and the memory cost of external store availability

Previous work demonstrates that individuals often recall less information if, at study, there is expectation that an external memory store will be available at test. One explanation for this effect is that when individuals can expect access to an external memory store, they forgo intentional, controlled efforts at encoding. The present work offers a novel test of this account by examining study effort, indexed by study time and self-reported strategy use, as a function of instructed external store availability. In two preregistered experiments, participants studied lists of to-be-remembered items for a free recall test and were either instructed that they could use their study list to support them at test or that they could not. Critically, participants controlled their own study time, and no participant had their study list at test, regardless of instruction. Consistent with the effort at encoding account, external store availability influenced both study time and strategy use, and there was evidence that these effects mediated the influence of external store availability on recall performance. Interestingly, much of the memory cost remained when controlling for study effort, thus, suggesting that the cost is potentially multiply determined.

Does taking multiple photos lead to a photo-taking-impairment effect?

The photo-taking-impairment effect is observed when photographed information is less likely to be remembered than nonphotographed information. Three experiments examined whether this effect persists when multiple photos are taken. Experiment 1 used a within-subjects laboratory-based design in which participants viewed images of paintings and were instructed to photograph them once, five times, or not at all. Participants' memory was measured using a visual detail test, and the photo-taking-impairment effect was observed when participants took multiple photos. Experiment 2 examined the photo-taking-impairment effect using a between-subjects design. Participants either photographed all of the paintings they saw once, five times, or not at all, before being tested on their memory for the paintings. The photo-taking-impairment effect was observed in both photo-taking conditions relative to the no photo baseline. Experiment 3 replicated this pattern of results even when participants who took multiple photos were instructed to take five unique photos. These findings indicate that the photo-taking-impairment effect is robust, occurring even when multiple photos are taken, and after nonselective photo-taking.

The COVID-19 Pandemic and the Interest in Prayer and Spirituality in Poland According to Google Trends Data in the CONTEXT of the Mediatisation of Religion Processes

The research undertaken in this article uses the Google Trends tool to study the degree of interest in prayer and general spirituality during the initial phase of the COVID-19 pandemic in Poland and Europe. The authors assumed that for people interested in prayer during the COVID-19 pandemic, the Internet served as a virtual prayer book. The main research questions addressed the frequency of typed queries, referring not only to the word “prayer” but also to specific types of prayer. In addition, interest in prayer was compared with interest in the word “prophecy” to explore the relationship between religiosity and interest in the supernatural sphere in its broadest sense. The analysis shows that there is distinct recurrence regarding the terms searched, with some of them noticeably intensifying with the outbreak of the COVID-19 pandemic. The findings also show that keywords related to prophecies were searched more frequently at significant moments in Polish history (2005—the death of John Paul II, 2010—the plane crash in which the President of Poland died) than in the months of 2020 when the pandemic struck and escalated. At that time, searches related to religion were more frequent. It can also be concluded that the outbreak of the pandemic contributed to an increase in the religious activity of Poles. The article is interdisciplinary in nature, referring primarily to Religion Studies and Mass Media and Communication Studies.

Supporting Cognition With Modern Technology: Distributed Cognition Today and in an AI-Enhanced Future

In the present article, we explore prospects for using artificial intelligence (AI) to distribute cognition via cognitive offloading (i.e., to delegate thinking tasks to AI-technologies). Modern technologies for cognitive support are rapidly developing and increasingly popular. Today, many individuals heavily rely on their smartphones or other technical gadgets to support their daily life but also their learning and work. For instance, smartphones are used to track and analyze changes in the environment, and to store and continually update relevant information. Thus, individuals can offload (i.e., externalize) information to their smartphones and refresh their knowledge by accessing it. This implies that using modern technologies such as AI empowers users via offloading and enables them to function as always-updated knowledge professionals, so that they can deploy their insights strategically instead of relying on outdated and memorized facts. This AI-supported offloading of cognitive processes also saves individuals' internal cognitive resources by distributing the task demands into their environment. In this article, we provide (1) an overview of empirical findings on cognitive offloading and (2) an outlook on how individuals' offloading behavior might change in an AI-enhanced future. More specifically, we first discuss determinants of offloading such as the design of technical tools and links to metacognition. Furthermore, we discuss benefits and risks of cognitive offloading. While offloading improves immediate task performance, it might also be a threat for users' cognitive abilities. Following this, we provide a perspective on whether individuals will make heavier use of AI-technologies for offloading in the future and how this might affect their cognition. On one hand, individuals might heavily rely on easily accessible AI-technologies which in return might diminish their internal cognition/learning. On the other hand, individuals might aim at enhancing their cognition so that they can keep up with AI-technologies and will not be replaced by them. Finally, we present own data and findings from the literature on the assumption that individuals' personality is a predictor of trust in AI. Trust in modern AI-technologies might be a strong determinant for wider appropriation and dependence on these technologies to distribute cognition and should thus be considered in an AI-enhanced future.

The Search as Learning Spaceship: Toward a Comprehensive Model of Psychological and Technological Facets of Search as Learning

Using a Web search engine is one of today's most frequent activities. Exploratory search activities which are carried out in order to gain knowledge are conceptualized and denoted as Search as Learning (SAL). In this paper, we introduce a novel framework model which incorporates the perspective of both psychology and computer science to describe the search as learning process by reviewing recent literature. The main entities of the model are the learner who is surrounded by a specific learning context, the interface that mediates between the learner and the information environment, the information retrieval (IR) backend which manages the processes between the interface and the set of Web resources, that is, the collective Web knowledge represented in resources of different modalities. At first, we provide an overview of the current state of the art with regard to the five main entities of our model, before we outline areas of future research to improve our understanding of search as learning processes.

Impact of Intrinsic Cognitive Skills and Metacognitive Beliefs on Tool Use Performance

Cognitive tools (e.g., calculators) provide all users with the same potential. Yet when people use such cognitive tools, interindividual variations are observed. Previous findings have indicated that 2 main factors could explain these variations: intrinsic cognitive skills (i.e., the “non–tool use” cognitive skills associated with the task targeted) and metacognitive beliefs about one's performance with tool use. In this study we sought to reproduce these findings and to investigate in more detail the nature of the relationships (i.e., linear vs. exponential) between tool use performance and intrinsic cognitive skills. In Experiment 1, 200 participants completed 2 cognitive tasks (calculation and geography) in 2 conditions (non–tool use vs. tool use). In Experiment 2, 70 participants performed a geography task in 2 conditions (non–tool use vs. tool use) and estimated their performance in each condition before completing the task. Results indicated that intrinsic cognitive skills and, to a lesser extent, metacognitive beliefs improved tool use performance: The higher the intrinsic cognitive skills and the higher participants estimated their tool use performance, the higher this tool use performance was. The nature of the relationship between tool use performance and intrinsic cognitive skills appeared to be linear rather than exponential. These findings extend previous research showing a strong impact of intrinsic cognitive skills on the performance associated with the use of cognitive tools or external aids.