Designing Personalized Persuasive Game Elements for Older Adults in Health Apps

The use of gamification elements in health apps has been shown to promote healthy behaviors. However, one-size-fits-all gamification strategy does not have the best persuasive effect. Therefore, the aim of this paper was to determine how to select personalized game elements for older adults and use them in health education app design. Firstly, based on the DMC model, the Kano model was used to identify the demand attributes of game mechanisms, and three gamification mechanisms (winning, feedback and reward) preferred by the elderly were selected. Secondly, the corresponding gamification elements were selected by the focus group method, and nine virtual products were generated. Thirdly, the virtual products were rated and conjointly analyzed to obtain the relative importance of gamification mechanisms and the utility values of gamification elements, and a comparative analysis was conducted on four characteristics of older adults: age, gender, personal income, and education. The results obtained the best combination of gamification elements chosen by the elderly under different classifications. Finally, design guidelines on persuasive gamification elements were developed based on the characteristics of older adults, and a modified gamification model was proposed. The results of this study provide suggestions and guidelines for the design of persuasive gamification in health education apps, which will help improve the satisfaction of older adults with health apps.

Determinants of Behavioral Intention and Use of Interactive Whiteboard by K-12 Teachers in Remote and Rural Areas

Interactive Whiteboard (IWB) has recently been used to replace the TWB (traditional whiteboard), with many of its features being observed to help teachers in educational activities. This is based on effectively and efficiently increasing the teacher-student interaction. Therefore, this study aims to analyze the determinants of Behavioral Intention (BI) and the use of interactive whiteboards by K-12 teachers, in remote and rural Chinese areas. The Modified-Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model was used in this analysis, as a learning medium to deliver the subject matter to students. The sample and population were also the teachers in the Guangxi Zhuang Autonomous Region, China, where 171 voluntary respondents participated in this study. Furthermore, the obtained data were processed using a Structural Equation Model (SEM) approach, through the Smart-PLS software. The results showed that Habit and Hedonic Motivation had a significant influence on the Behavioral Intention (BI) of teachers, toward the utilization of IWB in remote and rural areas. Besides this, Facilitating Conditions (FCs) and BI also had a significant positive effect on Usage Behavior. Based on these results, important information was provided to school principals, local governments, and teachers for education quality improvement, regarding the patterns of increasing IWB utilization in remote and rural areas.

Dark Triad Personality and Phubbing: The Mediator Role of Fomo

Phubbing among undergraduate has become an area of increasing research interest in recent years. In recent years, studies on phubbing have increased. However, no empirical study has deal with the mediating effect of fear of missing out (FoMO) on the relationship between dark triad and phubbing. The dark triad refers to three personality traits: Machiavellianism, psychopathy, and narcissism. Machiavellianism is characterized by prioritizing one's own wishes and desires. Psychopathy, is a personality trait where lack of emotion and self-control is seen. Narcissism is characterized by low empathy and egocentrism. Thus, the purpose of this study was to examine whether FoMO mediator between dark triad and phubbing among undergraduates. For this purpose, structural equation modeling and bootstrapping method was used. Mediation analyses were performed using AMOS 22.00. The present study comprised 506 undergraduate (%70.7 female; %29.3 male). The age of the participants ranged between 18 and 29 (x = 22.41).The measures used included the General Scale of Phubbing, Fear of Missing Out Scale, and Dirty Dozen Scale. The results showed that FoMO mediated the relationship between dark triad and phubbing. The results of bootstrapping procedure indicated that the indirect effect of FoMO on the relationship between dark triad and phubbing was significant. In conclusion, the study suggests that FoMO is a meaningful mediator in the relationship between dark triad and phubbing. Research results are discussed in the light of the related literature and suggestions are presented for future researchers.

Rich Get Richer: Extraversion Statistically Predicts Reduced Internet Addiction through Less Online Anonymity Preference and Extraversion Compensation

Internet addiction may arise from multiple factors and personality tendencies have been previously implicated. Prior studies have found that extraversion may be a protective factor mitigating against internet addiction, yielding a "rich-get-richer" effect. However, few studies have explored how extraversion may influence internet addiction from the perspective of online-offline integration. Drawing on a sample of 428 college students, the current study examined a serial mediation model exploring the underlying mechanisms of how extraversion may statistically predict internet addiction through online-offline integration and antecedent factors. The serial mediation model analyses indicated that extraverted internet users exhibited a weaker preference for online anonymity and less online extraversion compensation, thus formulating a higher level of online-offline integration than introverted individuals, which, in turn, appeared to reduce the risk of internet addiction. In contrast, with regard to specific components of online-offline integration, introverted internet users preferred online anonymity, which reduced their relationship integration and increased their likelihood of internet addiction; similarly, the introverted individuals were also more likely to exhibit an extraversion compensation effect. That is, they were more extraverted on the internet than in general; hence, they had a lower level of self-identity integration, resulting in a greater likelihood of experiencing internet addiction. These results highlight the importance of online-offline integration that may account for personality variations in social and psychological outcomes related to internet use, and suggest a role for online anonymity preference and extraversion compensation in influencing specific components of integration.

Personality traits and college students' internet addiction: The mediating roles of general health and self-esteem

This research aimed to explore the gender-related differences in Internet addiction levels, the associated factors behind Internet addiction, and the mediating roles of general health and self-esteem in the relationship between personality traits and Internet addiction among college students. A total of 318 college students in Iran participating in this study completed sociodemographic information form and self-report measures of Internet addiction, personality traits, general health, and self-esteem. The results showed higher frequencies of low and moderate-severe levels of addiction among female and male students, respectively. Further, younger age, male gender, singleness, high scores on neuroticism, poor general health, and low self-esteem might be linked to Internet addiction. The overall hypothesis that general health and self-esteem mediated the effect of neuroticism on Internet addiction was also supported. Our findings highlighted the necessity of evaluating general health and self-esteem among Internet-addicted students. Further, these variables can be targeted by psychiatrists and psychologists for effective cognitive-behavioral therapy among Internet-addicted students.

A Study on the Psychology of Social Engineering-Based Cyberattacks and Existing Countermeasures

As cybersecurity strategies become more robust and challenging, cybercriminals are mutating cyberattacks to be more evasive. Recent studies have highlighted the use of social engineering by criminals to exploit the human factor in an organization’s security architecture. Social engineering attacks exploit specific human attributes and psychology to bypass technical security measures for malicious acts. Social engineering is becoming a pervasive approach used for compromising individuals and organizations (is relatively more convenient to compromise a human compared to discovering a vulnerability in the security system). Social engineering-based cyberattacks are extremely difficult to counter as they do not follow specific patterns or approaches for conducting an attack, making them highly effective, efficient, easy, and obscure approaches for compromising any organization. To counter such attacks, a better understanding of the attack tactics is highly essential. Hence, this paper provides an in-depth analysis of the approaches used to conduct social engineering-based cyberattacks. This study discusses human vulnerabilities employed by criminals in recent security breaches. Further, the paper highlights the existing approaches, including machine learning-based methods, to counter social engineering-based cyberattacks.

Influences of Playfulness on Smartphone Dependency among Upper Grades of Korean Elementary Schoolers

A paucity of research has addressed the relationship between each psychological construct of playfulness and smartphone dependency, and the purpose of this research is to understand how each psychological construct of playfulness, including physical animation, social engagement, mental spontaneity, emotional fluidity, and humorous perspective playfulness, influences smartphone dependency of the upper grades of elementary schoolers. For this purpose, a total of 278 questionnaires was analyzed for descriptive, correlation, and multiple regression analysis. The correlation analysis showed that respondents’ age positively and parents’ education levels negatively correlates to smartphone dependency. The multiple regression analyses showed that physical animation playfulness and emotional fluidity playfulness negatively and social engagement playfulness positively influence smartphone dependency of the respondents. The findings indicate that to reduce smartphone dependency among elementary schoolers, physical animation and emotional fluidity playfulness need to be promoted. The findings also suggest that each component of playfulness has distinctive advantages and disadvantages of developmental processes in childhood, and more future research endeavors need to be directed to understand the role of playfulness in children’s behaviors and cognitive processes.

A Systematic Study on a Customer’s Next-Items Recommendation Techniques

A customer’s next-items recommender system (NIRS) can be used to predict the purchase list of a customer in the next visit. The recommendations made by these systems support businesses by increasing their revenue and providing a more personalized shopping experience to customers. The main objective of this paper is to provide a systematic literature review of the domain to analyze the recent techniques and assist future research. The paper examined 90 selected studies to answer the research questions concerning the key aspects of NIRSs. To this end, the main contribution of the paper is that it provides detailed insight into the use of conventional and deep learning techniques, the popular datasets, and specialized metrics for developing and evaluating these systems. The study reveals that conventional machine learning techniques have been quite popular for developing NIRSs in the past. However, more recent works have mainly focused on deep learning techniques due to their enhanced ability to learn sequential and temporal information. Some of the challenges in developing NIRSs that need further investigation are related to cold start, data sparsity, and cross-domain recommendations.

A Survey Bias Index Based on Unmanned Aerial Vehicle Imagery to Review the Accuracy of Rural Surveys

Field surveys and questionnaires are a cornerstone of rural socioeconomic research, providing invaluable firsthand data regarding on-the-ground situations. However, cost-effective and efficient methods for validating the accuracy of self-reported data in such questionnaires are lacking. Biased data are likely to lead to incorrect conclusions. In this study, we propose a new index, the survey bias index (SBI), for evaluating the degree of survey bias in field surveys. This index was obtained by comparing the data recorded in questionnaires with those from portable unmanned aerial vehicles (UAVs). In a case study, we employed SBI to reveal the degree of survey bias of questionnaires in field surveys on rural homesteads. The SBI of self-reported areas of rural homesteads reached 0.439, implying that 43.9% of data were significantly different from those collected using UAVs. A greater SBI was obtained in the pre-urban zone (0.515) than in the pure rural zone (0.258). These results indicate that homestead areas in the pre-urban zone have more incentive to expand than those in the pure rural zone. UAV remote sensing can strongly support research in the field of social economy, which reveals key information hidden in field surveys and questionnaires.

Enhance VR: A Multisensory Approach to Cognitive Training and Monitoring

Cognitive training systems aim to improve specific domains or global cognition by engaging users in cognitively demanding tasks. While screen-based applications can improve performance in the trained cognitive abilities, they are often criticized for their poor transferability to activities of daily living. These systems, however, exclude the user's body and motor skills, which invariably serves to restrict the user experience. Immersive Virtual Reality (IVR) systems, in contrast, present the user with body-related information, such as proprioceptive and visuomotor information, allowing for an immersive and embodied experience of the environment. This feature renders VR a very appealing tool for cognitive training and neurorehabilitation applications. We present Enhance VR, an IVR-based cognitive training and monitoring application that offers short daily cognitive workouts. The games are designed to train and monitor specific cognitive domains such as memory, task flexibility, information processing, orientation, attention, problem-solving, and motor control. The aim is to test whether cognitively demanding tasks, presented in an IVR setting, provide a naturalistic system to train and monitor cognitive capabilities.

Maladaptive cognitions, loneliness, and social anxiety as potential moderators of the association between Internet gaming time and Internet gaming disorder among adolescent Internet gamers in China

The significance of Internet gaming time's dosage effect on Internet gaming disorder (IGD) may depend on gamers' characteristics. Majority of the gamers with extensive gaming time do not develop IGD. This study investigated moderation effects of cognitive/psychosocial factors on the association between Internet gaming time and probable IGD among adolescent Internet gamers in China. The cross-sectional, self-administered, and anonymous survey was conducted from October to December of 2018 among seven conveniently selected secondary school students in Chengdu and Guangzhou, China. Probable IGD was measured by using the DSM-5 checklist. The cognitive/psychosocial moderators were assessed by using validated instruments. Of the 2,503 students who had played Internet games (past 12 months), the prevalence of probable IGD was 17.7%. Internet gaming time [adjusted odds ratio (ORa) = 1.06], the three maladaptive cognitions specific to Internet gaming (perceived overvaluation of rewards, perceived urges, and perceived unwillingness to stop playing) (ORa = 1.17 to 1.44), and the two types of psychosocial factors (loneliness and social anxiety) (ORa = 1.09 to 1.13) were independent risk factors of probable IGD. Moderation analyses showed that overall maladaptive cognitions, perceived urges, and loneliness (but not the other two types of cognitions and social anxiety) were significant moderators of the association between Internet gaming time and probable IGD. The dose-effect relationship of Internet gaming time on probable IGD was significantly and slightly stronger among those with higher levels of perceived urges and loneliness. Interventions to reduce the levels of such moderators may reduce probable IGD directly and buffer the dosage effect among adolescents.

Adolescent social media user types and their mental health and well-being: Results from a longitudinal survey of 13-14-year-olds in the United Kingdom

BACKGROUND

There is mixed evidence as to the effects of different types of social media use on mental health, but previous research has been platform-specific and has focused on an oversimplified distinction between active and passive use. This study aimed to identify different underlying subgroups of adolescent social media user based on their pattern of social media activities and test associations between user type and future mental health.

METHODS

Students from 19 schools (N = 2456) in south-west England completed an online survey measuring 13 social media activities and four psychosocial outcomes (past year self-harm, depression, anxiety and poor well-being) at age 13 years (October 2019) and repeated a year later (October 2020; aged 14 years). Latent class analysis using Mplus identified distinct classes of social media user and stability of these classes was examined using latent transition analysis. A bias-adjusted three-step model was used to test associations between class membership at baseline and mental health at follow-up. Analyses were adjusted for gender, ethnicity, sexual orientation, socioeconomic status, disability, social media screen-time and baseline mental health.

RESULTS

A four-class model of social media user at baseline was selected based on fit statistics and interpretability. User types were labelled High Communicators; Moderate Communicators; Broadcasters; and Minimal users. Users became more active over time. Broadcasters at age 13 had the poorest mental health outcomes at age 14, with mental health and well-being generally better among the High and Moderate Communicators.

CONCLUSIONS

Findings suggest that broadcasters-adolescents with high levels of content sharing in addition to messaging and browsing online-are most likely to be experiencing poor mental health a year later. Recommendations regarding social media use should expand to consider different user types, and mental health implications of their engagement with different online activities in addition to screen-time.

Adolescent girls' Instagram and TikTok use: Examining relations with body image-related constructs over time using random intercept cross-lagged panel models

The literature on body image ramifications of girls' uses of appearance-focused social media (ASM) is limited, and even non-existing in terms of TikTok uses. With this brief report, we aimed to fill this gap in the literature by analyzing three waves of data on girls' ASM use and body image-related constructs (i.e., internalization of beauty ideals and body image self-discrepancy) using random-intercept cross-lagged panel models (RI-CLPMs). The total sample consisted of 229 girls (M_age = 15.12, SD = 1.50). Controlling for age and body mass index (BMI), the RI-CLPMs revealed that neither TikTok nor Instagram were predictive of subsequent increases or decreases in internalization of beauty ideals and body image self-discrepancy. Lower scores on body image self-discrepancy at W2 (i.e., wanting to have a thinner body) did predict higher uses of Instagram at W3. No evidence for between-person effects was garnered. The results enrich our knowledge on long-term implications of girls' Instagram and TikTok use for their body image. They further underline the need for research that more specifically disentangles the role of different appearance-related activities on social media and their impact on girls' body image constructs.

Divergent effects of social media use on meaning in life via loneliness and existential isolation during the coronavirus pandemic

Stay-at-home orders issued to combat the growing number of infections during the coronavirus pandemic in 2020 had many psychological consequences for people including elevated stress, anxiety, and difficulty maintaining meaning in their lives. The present studies utilized cross-sectional designs and were conducted to better understand how social media usage related to people's subjective isolation (i.e., social loneliness, emotional loneliness, and existential isolation) and meaning in life (MIL) during the early months of the pandemic within the United States. Study 1 found that general social media use indirectly predicted higher MIL via lower existential isolation and social isolation. Study 2 replicated these patterns and found that social media use also predicted lower MIL via higher emotional loneliness, and that the aforementioned effects occurred with active, but not passive, social media use. Findings suggest social media use may be a viable means to validate one's experiences (i.e., reduce existential isolation) during the pandemic but may also lead to intensified feelings concerning missing others (i.e., increased emotional loneliness). This research also helps to identify potential divergent effects of social media on MIL and helps to clarify the relationships among varying types of subjective isolation.

The Effects of Playing Video Games on Stress, Anxiety, Depression, Loneliness, and Gaming Disorder During the Early Stages of the COVID-19 Pandemic: PRISMA Systematic Review

During the initial phases of the COVID-19 pandemic, playing video games has been much more than just a pastime. Studies suggested that video games for many individuals have helped to cope with such difficult life experience. However, other research indicates that gaming may have had harmful effects. Within this context, this systematic review aimed to describe the literature on the effects of video games during the early stages of the COVID-19 crisis on stress, anxiety, depression, loneliness, and gaming disorder (GD), examining the study characteristics and outcomes. A systematic search of the literature was made following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. It was preregistered in the International Platform of Registered Systematic Review and Meta-Analysis Protocols (INPLASY)-INPLASY202180053. The search databases were PsycINFO, Web of Science, and Medline. The search string was: [("video game*") OR ("computer game*") OR ("gaming")] AND [("COVID-19")]. Twenty-four studies met the inclusion criteria. Four research explored the effects of playing video games during the COVID-19 pandemic on stress, anxiety, and depression. Four studies investigated loneliness, while 18 research investigated game disorder. Video games, especially augmented reality and online multiplayer ones, mitigated stress, anxiety, depression, and loneliness among adolescents and young adults during stay-at-home restrictions. However, in the case of at-risk individuals (i.e., particularly male youths), playing video games had detrimental effects.

Assessing Algorithmic Thinking Skills in Relation to Age in Early Childhood STEM Education

In the modern digital era, intensive efforts are made to inject computational thinking (CT) across science, technology, engineering, and mathematics (STEM) fields, aiming at formulating a well-trained citizenry and workforce capable of confronting intricate problems that would not be solvable unless exercising CT skills. Focusing on contributing to the research area of CT assessment in the first two years of primary school, we investigated the correlation of algorithmic thinking skills, as a fundamental CT competency, with students’ age in early childhood settings. This article reports a relevant research study, which we implemented under the umbrella of quantitative methodology, employing an innovative assessment tool we constructed for serving the needs of our study. The research was conducted within the context of the environmental study course, adding to the efforts of infusing CT into STEM fields. The study results shed light on the correlation between algorithmic thinking skills and age in early childhood, revealing that age is a predictor factor for algorithmic thinking and, therefore, for CT.

Influence of an Esports Program on Problematic Gaming in Children with Autistic Spectrum Disorder: A Pilot Study

Esports (electronic sports) programs are a variant of competitive gaming and have expanded worldwide in recent years. The prevalence of problematic gaming and gaming disorders (GD) is predicted to increase in adolescents. Children with autism spectrum disorder (ASD) have a high rate of digital gaming use, and their characteristics, such as social communication deficits and restricted interests, might contribute to problematic gaming. In this study, we aimed to examine whether participation in an Esports program would lead to problematic gaming or GD in children with ASD. The Internet Gaming Disorder Test (IGD-20) scores, Kid-KINDL scores, and gaming time at home were assessed in eight children with ASD before beginning the Esports program and at the three-month follow-up timepoint. The program was held once a week at the welfare service center, where the participants played a set game for 60 min. The results indicated there was no significant worsening in any of the scores after the program. Our program provided the participation time and frequency of Esports, type of game, and motivation of the participants are adequately considered. Even though this pilot study is limited by the small sample size, we concluded that the risk of these activities leading to problematic gaming might be low.

Automatic Cognitive Fatigue Detection Using Wearable fNIRS and Machine Learning

Wearable sensors have increasingly been applied in healthcare to generate data and monitor patients unobtrusively. Their application for Brain-Computer Interfaces (BCI) allows for unobtrusively monitoring one's cognitive state over time. A particular state relevant in multiple domains is cognitive fatigue, which may impact performance and attention, among other capabilities. The monitoring of this state will be applied in real learning settings to detect and advise on effective break periods. In this study, two functional near-infrared spectroscopy (fNIRS) wearable devices were employed to build a BCI to automatically detect the state of cognitive fatigue using machine learning algorithms. An experimental procedure was developed to effectively induce cognitive fatigue that included a close-to-real digital lesson and two standard cognitive tasks: Corsi-Block task and a concentration task. Machine learning models were user-tuned to account for the individual dynamics of each participant, reaching classification accuracy scores of around 70.91 ± 13.67 %. We concluded that, although effective for some subjects, the methodology needs to be individually validated before being applied. Moreover, time on task was not a particularly determining factor for classification, i.e., to induce cognitive fatigue. Further research will include other physiological signals and human-computer interaction variables.

Problematic Use of the Internet Mediates the Association between Reduced Mentalization and Suicidal Ideation: A Cross-Sectional Study in Young Adults

Suicide is a major public health problem, and it is urgent to investigate its underlying clinical and psychological concomitants. It has been suggested that low mentalization skills and problematic use of the internet (PUI) are factors that can play a role in suicidal behaviors. It is possible that poor mentalization skills contribute to leading to forms of PUI, which, in turn, can represent triggers for suicidal ideation (SI). We tested this hypothesis through a quantitative and cross-sectional study on a sample (n = 623) of young adults (age range: 18−34). Self-report measures investigating symptoms related to Social Media Addiction (SMA), Internet Gaming Disorder (IGD), mentalization capacity, and SI were used. A single mediation analysis with two mediators was carried out to evaluate the direct and indirect effects of mentalization on SI through the mediating role of SMA- and IGD-related symptoms, controlling for potential confounding factors (e.g., socio-demographic and addiction-related variables). The four explored variables were significantly associated with each other (all p < 0.001) across all subjects; the mediational model showed that the total effect of mentalization on SI was significant (B = −0.821, SE = 0.092 (95% CI: −1.001; −0.641)) and that both SMA- (B = −0.073, SE = 0.034 (95% CI: −0.145; −0.008)) and IGD-related symptoms (B = 0.046, SE = 0.027 (95% CI: −0.107; −0.001)) were significant mediators of such association. Our findings support the possibility that PUI severity plays a relevant role in mediating the association between low mentalization skills and levels of SI.

Applying the Technology Acceptance Model to Elucidate K-12 Teachers’ Use of Digital Learning Platforms in Thailand during the COVID-19 Pandemic

With the emergence of the novel coronavirus disease 2019 (COVID-19) pandemic in 2020, educational institutions had to rapidly adapt from face-to-face to online learning to ensure continued education. Various digital learning platforms were tools for online teaching. Therefore, this study aimed to examine the acceptance of technology and behavioral intentions to use digital learning platforms of K-12. Toward this end, the study employed the technology acceptance model as a framework and was expanded with various variables, including technology self-efficacy, subjective norms, and facilitating conditions. An online questionnaire collected data from 519 K-12 teachers in Thailand. The structural equation modeling approach tested the proposed model. The results demonstrated that attitude and subjective norms significantly influenced behavioral intentions toward use, whereas perceived usefulness and ease of use directly influenced attitudes. Moreover, technology self-efficacy, subjective norms, and facilitating conditions influenced perceived ease of use. The findings can serve as a reference for teachers, school administrators, and policymakers in increasing the acceptance of digital learning platforms among future teachers.

Validation of Polish Version of Dispositional Flow Scale-2 and Flow State Scale-2 Questionnaires

The aim of this study is to evaluate the psychometric properties of the Polish version of the Dispositional Flow Scale-2 (DFS-2) and Flow State Scale-2 (FSS-2), for use with Polish adults and young adults. Currently, there are no tools that would allow us to study flow among Polish speakers. At the same time, due to the great interest in flow and its potential importance for effectiveness, cooperation, and learning, it is worth ensuring that reliable validated measurement questionnaires are available for people studying the Polish population. Study participants completed 856 questionnaires, of which 496 individuals (with an average age of 36.31 years) participated in the DFS-2 study and 360 individuals (with an average age of 33.46 years) participated in the FSS-2 study. The maximum likelihood estimator (MLR) was selected for the CFA analysis. Model fit was assessed using: χ2, comparative fit index (CFI), Tucker-Lewis index (TLI), and standardized root mean square of residuals (SRMR), and root mean square of approximation error (RMSEA). For both questionnaires, formative first-level models with nine factors and second-level models with nine factors loaded on a higher-order flow factor were compared using the Satorra-Bentler Scaled difference χ2 test. The ω coefficient was used to estimate the reliability of the FFS-2 and DFS-2 models tested in the CFA method. Confirmatory factor analysis of both DFS-2 structural models showed satisfactory model fit. Most of the fit indices for the hierarchical 2nd order FSS-2 model presented satisfactory values, except for SRMR. Both DFS-2 and FSS-2 factors tested in the analysis showed good reliability (ω ≥ 0.7). Our findings confirmed the reliability and validity of the Polish versions of DFS-2 and FSS-2 scales. The scales are reliable when applied to Polish adults and young adults.

Victims of Cyberbullying: Feeling Loneliness and Depression among Youth and Adult Chileans during the Pandemic

In Chile, during the COVID-19 pandemic, reports of cyberbullying victimization increased for adolescents and younger adults. Research has shown that cyber-victims-adolescents and young adults alike-are at greater risk for mental health problems such as depression as a result of this negative type of aggression. Yet, a paucity of research has examined the individual mechanisms germane to cyber-victim depression. We focused on loneliness for the current study. We hypothesized that cyber-victimization would be positively related to depressive symptoms through increased fears of loneliness and that this effect would differ between adolescents and younger adults. Thus, we examined a sample of 2370 participants from all main regions of Chile aged from 15 to 29 years. Moderated mediation results showed a negative effect of cyberbullying on depression, which was mediated by increased fears of being alone. The effect of frequency of cyberbullying on fear of loneliness was stronger for younger adults compared to adolescents. Our results suggest different mechanisms for both age groups, which can inform prevention programs and their specific activities.

Curiosity for information predicts wellbeing mediated by loneliness during COVID-19 pandemic

The COVID-19 pandemic confronted humans with high uncertainty and lockdowns, which severely disrupted people’s daily social and health lifestyles, enhanced loneliness, and reduced well-being. Curiosity and information-seeking are central to behavior, fostering well-being and adaptation in changing environments. They may be particularly important to maintain well-being during the pandemic. Here, we investigated which motives drive information-seeking, and whether and how curiosity and information-seeking related to well-being and mood (excitement, anxiety). Additionally, we tested whether daily diet contributed to this relationship during lockdown. Participants (N = 183) completed questionnaires measuring curiosity, information-seeking, social and mental health. Using a smartphone app, participants submitted their daily food intake and lifestyle ratings for a week. We found participants had highest motivation to seek positive (vs. negative) information, concerning themselves more than others. Both trait curiosity and information-seeking predicted higher well-being, mediated by loneliness. Trait curiosity also predicted well-being and excitement days later. Considering diet, participants with lower trait curiosity ate food containing more tyrosine (i.e., dopamine precursor). Furthermore, participants consuming food high in sugar reported higher anxiety, which was specifically found in participants with relatively low, but not high, trait curiosity. Taken together, curiosity and information-seeking may benefit well-being and mood in high uncertain and challenging times, by interacting with lifestyle measures (loneliness and nutrition).

Social Media and Online Digital Technology Use Among Muslim Young People and Parents: Qualitative Focus Group Study

BACKGROUND

Digital technology and social media use are common among young people in Australia and worldwide. Research suggests that young people have both positive and negative experiences online, but we know little about the experiences of Muslim communities.

OBJECTIVE

This study aims to explore the positive and negative experiences of digital technology and social media use among young people and parents from Muslim backgrounds in Melbourne, Victoria, Australia.

METHODS

This study involved a partnership between researchers and a not-for-profit organization that work with culturally and linguistically diverse communities. We adopted a participatory and qualitative approach and designed the research in consultation with young people from Muslim backgrounds. Data were collected through in-person and online focus groups with 33 young people aged 16-22 years and 15 parents aged 40-57 years. Data were thematically analyzed.

RESULTS

We generated 3 themes: (1) maintaining local and global connections, (2) a paradoxical space: identity, belonging and discrimination, and (3) the digital divide between young Muslims and parents. Results highlighted that social media was an important extension of social and cultural connections, particularly during COVID-19, when people were unable to connect through school or places of worship. Young participants perceived social media as a space where they could establish their identity and feel a sense of belonging. However, participants were also at risk of being exposed to discrimination and unrealistic standards of beauty and success. Although parents and young people shared some similar concerns, there was a large digital divide in online experiences. Both groups implemented strategies to reduce social media use, with young people believing that having short technology-free breaks during prayer and quality family time was beneficial for their mental well-being.

CONCLUSIONS

Programs that address technology-related harms must acknowledge the benefits of social media for young Muslims across identity, belonging, representation, and social connection. Further research is required to understand how parents and young people can create environments that foster technology-free breaks to support mental well-being.

The Motivation of Media Users and China's National Media Digitization Construction in the Post-COVID-19 Era

The sudden arrival of COVID-19 has had an enormous impact on the lives of people around the world, including significant psychological pressure and increased emotional needs. In China, research into user psychology and the motivations of commercial digital media has become more popular, but the national media should pay more attention to user psychology and perform more research on user motivations to improve the effectiveness of communication. We investigated people's internal psychology and motivation for using national media digital platforms in China during the pandemic. We collected data through online questionnaires and analyzed the use of apps of CCTV and The People's Daily by individual users during the pandemic and the psychological needs of national digital media users. In the first stage of our research, we selected national digital media app users through the WeChat platform. In the second stage, more active users were chosen by snowballing upon the original sample. We surveyed 210 participants and ultimately obtained 180 valid samples. We analyzed the data using used SPSS 23.0. The results showed that with the help of digital media platforms and diversified media technology, the Chinese national media not only met the needs of users for information acquisition, but also provided sufficient emotional mutual assistance and comfort to users through the network aggregation formed by digital scene communication.

Experience sampling self-reports of social media use have comparable predictive validity to digital trace measures

Research agrees that self-reported measures of time spent with social media (TSM) show poor convergent validity, because they correlate modestly with equivalent objective digital trace measures. This experience sampling study among 159 adolescents (12,617 self-reports) extends this work by examining the comparative predictive validity of self-reported and digital trace measures of TSM, that is, the extent to which self-reported and digital trace measures of TSM correspond in their effects on self-esteem, well-being, and friendship closeness. Using an N = 1 method of analysis, we investigated the correspondence on a between-person, within-person, and person-specific level. Although our results confirmed the poor convergent validity of self-reported TSM reported earlier, we found that self-reports of TSM had comparable predictive validity to digital trace measures on all three levels. Because comparative predictive validity of self-reported TSM is crucial for investigating social media effects, our results have important implications for future research using self-reported TSM.

Learning in Adverse Circumstances: Impaired by Learning With Anxiety, Maladaptive Cognitions, and Emotions, but Supported by Self-Concept and Motivation

The COVID-19 summer semester 2020 posed many challenges and uncertainties, quite unexpectedly and suddenly. In a sample of 314 psychology students, it was investigated how they experienced learning and preparing for an end-of-semester exam, which emotions and strain they experienced, how academic performance was affected, and how personal antecedents of learning as important facets of a learner’s identity could support or prevent overcoming adverse circumstances of learning. The participants of the study filled in a questionnaire about their achievement emotions and strain they experienced during learning and exam preparation as well as academic self-concept, motivation, gender, proneness to anxiety. Points achieved in the exam were also recorded. The interaction between the variables was investigated by a structural equation model. It showed that the investigated variables can be distinguished into two groups, variables that contribute mainly negatively to performance and variables with a positive contribution. Strain experienced during the COVID-19 pandemic and unpleasant emotions “belong together” in the sense that they inhibit academic performance directly or indirectly. Proneness to anxiety in academic situations was related with higher levels of mental, emotional, and physical disturbances due to the COVID-19 situation. In contrast, motivation and a high academic self-concept acted as support for learning and performance. Both contribute to pleasant achievement emotions in the learning situation; moreover, motivation had a direct relationship to academic performance. The results from the present study do not only provide insight into important students’ personal dispositions and their role for learning in adverse circumstances but also give advice how to strengthen students for successful learning.

An exploration of instructors' and students' perspectives on remote delivery of courses during the COVID-19 pandemic

The world-wide pivot to remote learning due to the exogenous shocks of COVID-19 across educational institutions has presented unique challenges and opportunities. This study documents the lived experiences of instructors and students and recommends emerging pathways for teaching and learning strategies post-pandemic. Seventy-one instructors and 122 students completed online surveys containing closed and open-ended questions. Quantitative and qualitative analyses were conducted, including frequencies, chi-square tests, Welch Two-Samples t-tests, and thematic analyses. The results demonstrated that with effective online tools, remote learning could replicate key components of content delivery, activities, assessments, and virtual proctored exams. However, instructors and students did not want in-person learning to disappear and recommended flexibility by combining learning opportunities in in-person, online, and asynchronous course deliveries according to personal preferences. The paper concludes with future directions and how the findings influenced our planning for Fall 2021 delivery. The video abstract for this article is available at https://www.youtube.com/watch?v=F48KBg_d8AE.

Updating 'Stories' on social media and its relationships to contextual age and narcissism: A tale of three platforms - WhatsApp, Instagram and Facebook

This study extends the uses and gratifications research into the feature use of social media platforms by identifying the motives for updating ‘Stories’ on three social media platforms, i.e. WhatsApp, Instagram and Facebook. Using survey data from adults (N = 338), this research identified seven motivations (i.e. socially rewarding self-promotion, social sharing, social influence, disclosure, escape, entertainment, and trendy fashion) for updating Stories on WhatsApp, Instagram and Facebook. Age and gender differences were identified in the motivations for updating Stories on the three platforms. Cross-platform analysis revealed significant differences in the motivations for updating Stories across the three platforms. Social influence and disclosure motives positively predicted the intensity of updating Stories on all three platforms. Socially rewarding self-promotion predicted the intensity of updating Stories on Instagram and Facebook. Social sharing positively predicted the intensity of updating Stories on WhatsApp and Instagram, and trendy fashion emerged as a positive predictor of story updates only on Instagram. Finally, an analysis of social and psychological predictors revealed that Interpersonal interaction and Social activity positively predicted the intensity of updating Stories across the three platforms. Narcissists also exhibited high intensity of updating Stories on WhatsApp, Instagram, and Facebook.

Zoom Fatigue, Psychological Distress, Life Satisfaction, and Academic Well-Being

Little is known about the psychological consequences of the recently increased utilization of videoconferencing, which has enabled life to proceed as close to normal as possible during the COVID-19 pandemic. To understand the psychological consequences of this recent global lifestyle change in different populations, the psychometric validation of the Zoom Exhaustion and Fatigue Scale (ZEFS) and the relationship of this construct with academic well-being, mental well-being, and life satisfaction are presented. In a sample of 470 Turkish university students (57 percent female, M_age = 20.26 ± 2.18, ranging between 18 and 33 years), first-order and second-order confirmatory factor analyses confirmed the construct validity of the scale, and the item response theory results yielded appropriate item difficulty and discrimination. ZEFS scores were significantly and positively associated with anxiety, depression, and stress, and negatively associated with life satisfaction and academic well-being, supporting the scale's concurrent validity. Incremental validity was shown with mediational models demonstrating significant and separate indirect effects of Zoom exhaustion and fatigue on life satisfaction and academic well-being, both mediated by psychological distress. The results suggest ZEFS to be a valid and reliable tool to evaluate the psychological consequences of videoconferencing, which has globally increased during the COVID-19 pandemic, in non-Western samples. By showing the relationships of Zoom exhaustion and fatigue with psychological distress, life satisfaction, and academic well-being, the present study highlights potential avenues to be addressed to protect the mental well-being of all individuals who have integrated videoconferencing as part of their daily lives.

The Issue of Proxies and Choice Architectures. Why EU Law Matters for Recommender Systems

Recommendations are meant to increase sales or ad revenue, as these are the first priority of those who pay for them. As recommender systems match their recommendations with inferred preferences, we should not be surprised if the algorithm optimizes for lucrative preferences and thus co-produces the preferences they mine. This relates to the well-known problems of feedback loops, filter bubbles, and echo chambers. In this article, I discuss the implications of the fact that computing systems necessarily work with proxies when inferring recommendations and raise a number of questions about whether recommender systems actually do what they are claimed to do, while also analysing the often-perverse economic incentive structures that have a major impact on relevant design decisions. Finally, I will explain how the choice architectures for data controllers and providers of AI systems as foreseen in the EU's General Data Protection Regulation (GDPR), the proposed EU Digital Services Act (DSA) and the proposed EU AI Act will help to break through various vicious circles, by constraining how people may be targeted (GDPR, DSA) and by requiring documented evidence of the robustness, resilience, reliability, and the responsible design and deployment of high-risk recommender systems (AI Act).

Dietary diversity score and associated factors among high school adolescent girls in a selected school of Yeka Sub-city, Addis Ababa

Introduction:

Adequate dietary intake is critical for modification of eating behavior and provides nutrients required for growth particularly among adolescents. The evidence revealed the variation and unrelated data on the prevalence of dietary diversity among adolescent girls in Ethiopia.

Objective:

To assess the magnitude of dietary diversity and associated factors among high school adolescent girls at the selected school of Yeka Sub-city, Addis Ababa, Ethiopia 2021.

Methods:

A cross-sectional study was conducted in high schools of the Yeka sub-city. Self-administered questionnaires were used to collect data. Data were analyzed using SPSS and the characteristics of the study participants were reported using descriptive statistics. A logistic regression model was fitted to identify factors associated with dietary diversity.

Result:

The mean score of dietary diversity was 4.9 ± 1.47 with a response rate of 97.2% among a proposed number of participants. The dietary diversity score is high in 56.7% and low among 43.3% of adolescents. Stayed a long time on social media (adjusted odds ratio = 2.6), school type (adjusted odds ratio = 6.5), educational status of mother (adjusted odds ratio = 8.7), consuming more sweet food (adjusted odds ratio = 3.6), occupation of the mother (adjusted odds ratio = 2.3), household security (adjusted odds ratio = 2.3), and fear of obese/worried about shape (adjusted odds ratio = 5.0) were statistically associated with low dietary diversity score.

Conclusion:

The finding of the study revealed that the magnitude of low dietary diversity among adolescent girls was found to be high. Long time social media usage, school type, educational status of the mother, consuming more sweet food, occupation of mother, household food security, and fear of obese/worried about shape were statistically associated with dietary diversity score.

Exploring the Emotional Experience During Instant Messaging Among Young Adults: An Experimental Study Incorporating Physiological Correlates of Arousal

Instant messaging (IM) is a highly diffused form of communication among younger populations, yet little is known about the emotional experience during IM. The present study aimed to investigate the emotional experience during IM by drawing on the Circumplex Model of Affect and measuring heart rate and electrodermal activity as indicators of arousal in addition to self-reported perceived emotional valence. Using an experimental design, we manipulated message latency (i.e., response after 1 min versus 7 min) and message valence (positive versus negative response). Based on data collected from 65 young adults (50% male; M_age = 23.28, SD = 3.75), we observed arousal as participants’ electrodermal activity levels increased from the time a fictitious peer started typing a response to the receipt of that response, especially in the delayed condition. Electrodermal activity levels also increased in both the positive and the negative message conditions. No changes were observed for heart rate. Participants’ self-report perceived emotional valence revealed that positive messages were evaluated as more pleasant and the peer as more available, while no difference in the self-report was found for message latency. These findings shed light on the emotional experience during IM by adding valuable insights on the physiological processes underlying the anticipation of social reward, but only during delayed IM exchange that can be observed in Human–Computer-Interaction.

Gambling Habit Hacker: Protocol for a micro-randomised trial of planning interventions delivered via a Just-In-Time Adaptive Intervention for adult gamblers (Preprint)

Background

People with gambling problems frequently report repeated unsuccessful attempts to change their behavior. Although many behavior change techniques are available to individuals to reduce gambling harm, they can be challenging to implement or maintain. The provision of implementation support tailored for immediate, real-time, individualized circumstances may improve attempts at behavior change.

Objective

We aimed to develop and evaluate a Just-In-Time Adaptive Intervention (JITAI) for individuals who require support to adhere to their gambling limits. JITAI development is based on the principles of the Health Action Process Approach with delivery, in alignment with the principles of self-determination theory. The primary objective was to determine the effect of action- and coping planning compared with no intervention on the goal of subsequently adhering to gambling expenditure limits.

Methods

Gambling Habit Hacker is delivered as a JITAI providing in-the-moment support for adhering to gambling expenditure limits (primary proximal outcome). Delivered via a smartphone app, this JITAI delivers tailored behavior change techniques related to goal setting, action planning, coping planning, and self-monitoring. The Gambling Habit Hacker app will be evaluated using a 28-day microrandomized trial. Up to 200 individuals seeking support for their own gambling from Australia and New Zealand will set a gambling expenditure limit (ie, goal). They will then be asked to complete 3 time-based ecological momentary assessments (EMAs) per day over a 28-day period. EMAs will assess real-time adherence to gambling limits, strength of intention to adhere to goals, goal self-efficacy, urge self-efficacy, and being in high-risk situations. On the basis of the responses to each EMA, participants will be randomized to the control (a set of 25 self-enactable strategies containing names only and no implementation information) or intervention (self-enactable strategy implementation information with facilitated action- and coping planning) conditions. This microrandomized trial will be supplemented with a 6-month within-group follow-up that explores the long-term impact of the app on gambling expenditure (primary distal outcome) and a range of secondary outcomes, as well as an evaluation of the acceptability of the JITAI via postintervention surveys, app use and engagement indices, and semistructured interviews. This trial has been approved by the Deakin University Human Research Ethics Committee (2020-304).

Results

The intervention has been subject to expert user testing, with high acceptability scores. The results will inform a more nuanced version of the Gambling Habit Hacker app for wider use.

Conclusions

Gambling Habit Hacker is part of a suite of interventions for addictive behaviors that deliver implementation support grounded in lived experience. This study may inform the usefulness of delivering implementation intentions in real time and in real-world settings. It potentially offers people with gambling problems new support to set their gambling intentions and adhere to their limits.

Trial Registration

Australian New Zealand Clinical Trials Registry ACTRN12622000497707; www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=383568

International Registered Report Identifier (IRRID)

DERR1-10.2196/38919

Nomophobia and Its Associated Factors in Peruvian Medical Students

Nomophobia is the discomfort caused by not being in contact with a cell phone. Few studies have addressed nomophobia in university students. The study aimed to evaluate nomophobia and its associated factors in Peruvian medical students. We conducted an analytical cross-sectional study on Peruvian medical students between June 2020 and March 2021, using an online survey disseminated through social networks. We analyzed 3139 responses (females: 61.1%, median age: 22 years): 25.7% presented moderate nomophobia and 7.4% severe nomophobia. In the adjusted model, the nomophobia score was lower in students ≥24 years (β: −4.1, 95% CI: −7.2 to −1.0) and was higher in those who had a mobile internet data plan (β: 2.9, 0.8 to 5.0), used the cell phone >4 h (β: 4.5, 2.3 to 6.7), used a smartphone mainly for education (β: 2.5, 0.2 to 4.8), social networks (β: 8.2, 5.8 to 10.6) and entertainment (β: 3.3, 0.5 to 6.1), and those who presented possible anxious (β: 6.6, 4.3 to 8.9) or depressive (β: 19.5, 5.2 to 9.6) symptomatology. In conclusion, nomophobia in university students is a frequent and emerging problem, present mainly at younger ages and associated with symptoms of anxiety or depression. Implementing evaluation and early intervention strategies would favor the mental health of university students.

Gender Differences in the Associations Between Physical Activity, Smartphone Use, and Weight Stigma

Background

Physical activity (PA) is important for health. However, there is little evidence on how weight stigma, time spent on sedentary activities (including smartphone, social media, online learning), time spent on outdoor activity, and nomophobia associate with PA among Chinese individuals with consideration of gender. The present study examined the aforementioned associations in the COVID-19 pandemic era.

Methods

University students (N = 3,135; 1,798 females, 1,337 males) with a mean age of 19.65 years (SD = 2.38) years completed an online survey from November to December, 2021. The online survey assessed weight stigma (using the Perceived Weight Stigma Scale and Weight Bias Internalization Scale), PA (using the International Physical Activity Questionnaire Short Form), time spent on different activities (using self-designed items for time on smartphone, outdoor activity, social media, and online learning), and nomophobia (using the Nomophobia Questionnaire). Parallel mediation models were constructed (dependent variable: PA; mediators: perceived weight stigma, weight-related self-stigma, time spent on smartphone, time spent on outdoor activity, time spent on social media, and time spent online learning; independent variable: nomophobia) and evaluated using Hayes' Process Macro Model 4 (IBM SPSS 20.0).

Results

Weight-related self-stigma (β = −0.06; p = 0.03), time spent on outdoor activity (β = 0.21; p < 0.001), time spent on social media (β = 0.07; p = 0.02), time spent on online learning (β = 0.06; p = 0.03), and nomophobia (β = −0.07; p = 0.01) were all significant factors explaining the PA among female participants. Perceived weight stigma (β = −0.07; p = 0.01), time spent on outdoor activity (β = 0.27; p < 0.001), and time spent on online learning (β = 0.10; p = 0.002) were all significant factors explaining PA among male participants.

Conclusion

Chinese healthcare providers should design programs on weight stigma reduction and outdoor activity improvement to enhance PA among university students.

The Impact of Potential Risks on the Use of Exploitable Online Communities: The Case of South Korean Cyber-Security Communities

The aim of this study is to gain a comprehensive understanding of how risk and value factors affect the intention to use South Korean exploitable cyber-security communities based on the value-maximisation perspective of economics. According to the research model—applying the theory of planned behaviour, prospect theory and perceived risk theory—the test results revealed that intention is negatively affected by security threats, privacy concerns, performance risk and social risk of malicious use. Security threats had a positive impact on privacy concerns. The test results also indicated that perceived value affects both attitude and intention significantly and positively. The findings demonstrate that online-community users, such as computer experts and hackers, are influenced by various sources of perceived risks and perceived value when using exploitable cyber-security communities.

Sustaining the Benefits of Social Media on Users’ Health Beliefs Regarding COVID-19 Prevention

During the COVID-19 pandemic, social media has facilitated the efficient and effective dissemination of healthcare information and helped governments keep in touch with their citizens. Research has indicated that social media can exert negative and positive influences on users’ mental health. One negative effect is social media fatigue caused by information overload. However, under the current pandemic, comprehensive research has yet to be executed on the effect exerted by social media on users’ health beliefs and subjective well-being (SWB). Consequently, we conducted our research to probe the influence of social media on users’ perceptions of COVID-19 prevention. This study established a research model based on 340 valid responses to an online questionnaire survey from Taiwan. SmartPLS 3.0 was used to verify the developed measurement and structural models. We found social media users’ incidental and focused knowledge gain positively related to their social media intensity. In addition, social media intensity positively correlated with health beliefs and SWB. Accordingly, we can determine that proper social media use can enhance health beliefs. Based on our derived findings, we propose a set of practical recommendations to leverage social media effectively and sustainably during, and after, the COVID-19 pandemic.

Assessing the Effects of the COVID-19 Pandemic on M-Commerce Adoption: An Adapted UTAUT2 Approach

The COVID-19 pandemic has impacted consumers’ lives and their shopping patterns, leading them towards mobile commerce. To address current shopping circumstances, an adapted UTAUT2 model aims to integrate trust and perceptions of the effects of the COVID-19 pandemic on consumers’ behavioral intention to rely on m-commerce during this period. The study proposes a research model which is investigated with the help of structural equation modelling in AMOS. Using the framework of a cross-sectional study, data were collected from an emerging market in Romania, where internet speed ranks 4th worldwide and where the yearly increase in internet and social media users is approximately 10%. By using confirmatory factor analysis and structural equation modelling, the research validates the applicability of UTAUT2 in examining consumers’ behavioral intent of using m-commerce during a pandemic. Hedonic motivation is the strongest predictor of consumers’ behavioral intentions to continue using m-commerce. The findings contribute to understandings of consumers’ behavior with m-commerce in an emerging market, extending knowledge based on the adapted UTAUT2 model and allowing for comprehension of the key role of trust and social influences in affecting consumers’ perceptions of the COVID-19 outbreak in relation to shopping patterns.