Using Eye Tracking to Explore Facebook Use and Associations with Facebook Addiction, Mental Well-being, and Personality

Exploring the Untapped Potential of Neuromarketing in Online Learning: Implications and Challenges for the Higher Education Sector in Europe

This research investigates the impact of applying neuromarketing techniques to three practical examples of higher education (HE) branding: an official college website page, an official college Facebook page, and recorded online video lectures used for teaching at HE institutions. The study was conducted in three different HE institutions with a representative sample of 720 participants, with n = 529 used for testing the CARE college website, n = 59 for testing the HAZEF Facebook page, and n = 132 for testing the emotional response of students studying online. To assess the participants' emotional responses, this study utilized automated facial coding through a webcam (15 Hz) and considered mood intensities. Additionally, a sentiment analysis was employed to verify the survey results and determine any discrepancies in the cognitive response. By analyzing gaze activity, movement patterns, and emotional responses, valuable insights were gained into students' behaviors and preferences. This study recommends incorporating neuromarketing research into HE branding and online teaching to enhance students' learning experiences. Overall, this study contributes to the understanding of human expectations and behaviors in response to online teaching and provides valuable insights for HE institutions in Europe.

Evaluation of Gaze-to-Object Mapping Algorithms for Use in "Real-World" Translatable Neuropsychological Paradigms

Objective

Eye-tracking technology is commonly used for identifying objects of visual attention. However, applying this technology to virtual reality (VR) applications is challenging. This report analyzes the performance of two gaze-to-object mapping (GTOM) algorithms applied to eye-gaze data acquired during a "real-world" VR cue-reactivity paradigm.

Methods

Two groups of participants completed a VR paradigm using an HTC Vive Pro Eye. The gazed objects were determined by the reported gaze rays and one of two GTOM algorithms - naïve ray-casting (n=18) or a combination of ray-casting and Tobii's G2OM algorithm (n=18). Percent gaze duration was calculated from 1-second intervals before each object interaction to estimate gaze accuracy. The object volume of maximal divergence between algorithms was determined by maximizing the difference in Hedge's G effect sizes between small and large percent gaze duration distributions. Differences in percent gaze duration based on algorithm and target object size were tested with a mixed ANOVA.

Results

The maximum Hedge's G effect sizes differentiating large and small target objects was observed at an 800cm3 threshold. The combination algorithm performed better than the naïve ray-casting algorithm (p=.003, ηp2=.23), and large objects (>800cm3) were associated with a higher gaze duration percentage than small objects (≤800cm3; p<.001, ηp2=.76). No significant interaction between algorithm and size was observed.

Conclusions

Results demonstrated that Tobii's G2OM method outperformed naïve ray-casting in this "real-world" paradigm. As both algorithms show a clear decrease in performance for detecting objects with volumes <800cm3, we recommend using gaze-interactable objects >800cm3 for future HTC Vive Pro Eye applications.

Negative psychological and physiological effects of social networking site use: The example of Facebook

Social networking sites (SNS), with Facebook as a prominent example, have become an integral part of our daily lives and more than four billion people worldwide use SNS. However, the (over-)use of SNS also poses both psychological and physiological risks. In the present article, we review the scientific literature on the risk of Facebook (over-)use. Addressing this topic is critical because evidence indicates the development of problematic Facebook use ("Facebook addiction") due to excessive and uncontrolled use behavior with various psychological and physiological effects. We conducted a review to examine the scope, range, and nature of prior empirical research on the negative psychological and physiological effects of Facebook use. Our literature search process revealed a total of 232 papers showing that Facebook use is associated with eight major psychological effects (perceived anxiety, perceived depression, perceived loneliness, perceived eating disorders, perceived self-esteem, perceived life satisfaction, perceived insomnia, and perceived stress) and three physiological effects (physiological stress, human brain alteration, and affective experience state). The review also describes how Facebook use is associated with these effects and provides additional details on the reviewed literature, including research design, sample, age, and measures. Please note that the term "Facebook use" represents an umbrella term in the present work, and in the respective sections it will be made clear what kind of Facebook use is associated with a myriad of investigated psychological variables. Overall, findings indicate that certain kinds of Facebook use may come along with significant risks, both psychologically and physiologically. Based on our review, we also identify potential avenues for future research.

"Danmu" preference, problematic online video watching, loneliness and personality: An eye-tracking study and survey study

'Danmu' (i.e., comments that scroll across online videos), has become popular on several Asian online video platforms. Two studies were conducted to investigate the relationships between Danmu preference, problematic online video watching, loneliness and personality. Study 1 collected self-report data on the study variables from 316 participants. Study 2 collected eye-tracking data of Danmu fixation (duration, count, and the percentages) from 87 participants who watched videos. Results show that fixation on Danmu was significantly correlated with problematic online video watching, loneliness, and neuroticism. Self-reported Danmu preference was positively associated with extraversion, openness, problematic online video watching, and loneliness. The studies indicate the potential negative effects of Danmu preference (e.g., problematic watching and loneliness) during online video watching. The study is one of the first empirical investigations of Danmu and problematic online video watching using eye-tracking software. Online video platforms could consider adding more responsible use messaging relating to Danmu in videos. Such messages may help users to develop healthier online video watching habits.

A meta-analysis of the problematic social media use and mental health

BACKGROUND

Although previous meta-analyses were conducted to quantitatively synthesize the relation between problematic social media (SM) use and mental health, they focused on Facebook addiction.

AIMS

The purpose of this meta-analysis is to examine this relation by extending the research scope via the inclusion of studies examining problematic use of all platforms.

METHOD

One hundred and thirty-three independent samples (N =244,676) were identified.

RESULTS

As expected, the mean correlations between problematic SM use and well-being are negative, while those between problematic SM use and distress are positive. Life satisfaction and self-esteem are commonly used to represent well-being, while depression and loneliness are usually used to indicate distress. The mean correlations of problematic SM use with life satisfaction and self-esteem are small, whereas those of problematic SM use with depression and loneliness are moderate. The moderating effects of publication status, instruments, platforms and mean age are not significant.

CONCLUSIONS

The magnitude of the correlations between problematic SM use and mental health indicators can generalize across most moderator conditions.

Associations of Personality Traits with Internet Addiction: A Cross-Cultural Meta-Analysis with a Multilingual Approach

With a novel multilingual approach, this cross-cultural meta-analysis study investigated the associations between personality traits and Internet addiction. Articles were identified and retrieved by searching through general and language-specific databases, and thereafter reviewed for inclusion based on the selection criteria. Random effects models with the Hartung-Knapp-Sidik-Jonkman method were used to examine the associations of Internet addiction with seven personality traits: Openness, Conscientiousness, Extraversion, Agreeableness, Neuroticism, Psychoticism, and Lie (OCEAN-PL). Forest plots with summary statistics were produced to inspect the between-study heterogeneity. Subgroup analysis was performed to further determine the contributions of moderators (geographic region, population subgroup, scales for assessing personality traits and Internet addiction, and language of publication) to the observed between-study heterogeneity. Funnel plots and Egger's test were used to detect possible small-study effects. A sample of 34,438 participants from 37 studies (24 from Asia) were included for data analysis. The major languages of publications of the selected articles were English and Asian languages. According to the pooled results, Internet addiction was associated positively with Neuroticism and Psychoticism, but negatively with Conscientiousness, Extraversion, Agreeableness, and Lie. Geographic region and language of publication significantly moderated the associations of Internet addiction with Agreeableness and Neuroticism, and Openness and Extraversion, respectively. No significant small-study effect was present for all OCEAN-PL personality traits, except Neuroticism. In conclusion, the Internet addiction group is relatively more neurotic and psychotic, and less conscientious, extraverted, agreeable, and untruthful than the nonaddiction group. A multilingual approach is useful for improving the search strategies for systematic reviews, cross-cultural meta-analyses in particular.

Comparing the Visual Perception According to the Performance Using the Eye-Tracking Technology in High-Fidelity Simulation Settings

Introduction: We used eye-tracking technology to explore the visual perception of clinicians during a high-fidelity simulation scenario. We hypothesized that physicians who were able to successfully manage a critical situation would have a different visual focus compared to those who failed. Methods: A convenience sample of 18 first-year emergency medicine residents were enrolled voluntarily to participate in a high-fidelity scenario involving a patient in shock with a 3rd degree atrioventricular block. Their performance was rated as pass or fail and depended on the proper use of the pacing unit. Participants were wearing pre-calibrated eye-tracking glasses throughout the 9-min scenario and infrared (IR) markers installed in the simulator were used to define various Areas of Interest (AOI). Total View Duration (TVD) and Time to First Fixation (TFF) by the participants were recorded for each AOI and the results were used to produce heat maps. Results: Twelve residents succeeded while six failed the scenario. The TVD for the AOI containing the pacing unit was significantly shorter (median [quartile]) for those who succeeded compared to the ones who failed (42 [31–52] sec vs. 70 [61–90] sec, p = 0.0097). The TFF for the AOI containing the ECG and vital signs monitor was also shorter for the participants who succeeded than for those who failed (22 [6–28] sec vs. 30 [27–77] sec, p = 0.0182). Discussion: There seemed to be a connection between the gaze pattern of residents in a high-fidelity bradycardia simulation and their performance. The participants who succeeded looked at the monitor earlier (diagnosis). They also spent less time fixating the pacing unit, using it promptly to address the bradycardia. This study suggests that eye-tracking technology could be used to explore how visual perception, a key information-gathering element, is tied to decision-making and clinical performance.

Social Impact of Psychological Research on Well-Being Shared in Social Media

The purpose of this article is to demonstrate how the Social Impact in Social Media (SISM, hereinafter) methodology applied in psychological research provides evidence for the visibility of the social impact of the research. This article helps researchers become aware of whether and how their improvements are capturing the interest of citizens and how citizens are applying such evidence and obtaining better outcomes, in this case, in relation to well-being. In addition, citizens can access the latest evidence on social media and act as channels of communication between science and social or personal networks and, in doing so, they can improve the living conditions of others. This methodology is also useful for agencies that support researchers in psychology with financial assistance, which can use it to evaluate the social impact of the funds that they invest in research. In this article, the 10 studies on well-being were selected for analysis using the following criteria: their research results led to demonstrable improvement in well-being, and these improvements are presented on social media. We applied the social impact coverage ratio to identify the percentage of the social impact shared in social media in relation to the total amount of social media data collected. Finally, examples of quantitative and qualitative evidence of the social impact of the research on well-being are presented.