Cyberpsychology, behavior and social networking最新文献

The ability and self-efficacy to utilize the internet and technological devices has become critical during the COVID-19 pandemic. By examining the role of on- and offline social capital as a moderator in the relationship between technological self-efficacy (TSE) and subjective well-being, this study aims to contribute to the understanding of whether the social compensation or social enhancement hypotheses explain the well-being of immigrants in South Korea during the COVID-19 pandemic. We analyzed data from the 2020 Digital Divide Survey of immigrants (n = 700) and native-born Koreans (n = 6,910) aged ≥18 years. In the ordinary least squares regression model, subjective well-being (SWB) was the dependent variable and TSE was the independent variable. Online social capital, including bonding and bridging, was the moderating variable. Moreover, we tested the moderated moderation of nativity and on- and offline social capital. The results showed that bonding and bridging on- and offline social capital played a positive role in the SWB of both immigrants and native-born Koreans; bridging played a greater role among immigrants than among native-born Koreans. Furthermore, the interaction between TSE and online bonding social capital has a stronger association with the SWB of immigrants, as supported by the moderated moderation model. In line with the social enhancement hypothesis, immigrants with more online bonding social capital showed a stronger positive association between TSE and subjective well-being. Our results suggest that culturally adapted technological education for immigrants can be tailored to meet their unique needs and experiences.

Social rejection is a common and unavoidable experience for users of dating apps. Research suggests that socially anxious individuals may be particularly likely to use dating apps to establish intimate relationships, given their preference for online (vs. face-to-face) communication. However, social anxiety (SA) symptoms are associated with heightened negative affect and decreased prosocial behavior following social rejection, suggesting that exposure to dating app rejection has deleterious consequences in this population. This study examined whether SA symptoms and social rejection (vs. acceptance) feedback interact to predict participants' negative and positive affect and social engagement with dating app matches. Participants (N = 128) evaluated for SA symptoms were randomly assigned to receive high or low match rate feedback on a simulated dating application task. SA symptoms were negatively associated with positive affect following high match rate feedback and positively associated with negative affect following low match rate feedback. SA symptoms were negatively associated with self-reported likelihood of contact initiation with matches. Results suggest that high socially anxious individuals are more susceptible to negative repercussions of social rejection on dating applications.

Digital detoxification is a conscious disconnection from all smartphone activities for a certain period of time, which has been undertaken as effective by researchers to improve well-being, but studies found inconsistent results, with a primary focus on negative well-being, thus necessitating a need to focus on the positive aspect. As a result, the current study conducted a systematic review and meta-analysis to assess digital detoxification and its influence on users subjective and psychological well-being (PWB). A comprehensive search (up to November 19, 2023) across databases such as PubMed, Scopus, Web of Science, Pro-Quest, and Google Search yielded a total of 26 eligible studies (18 for meta-analysis) comprising 8,147 participants (M_age = 25.20 years). The Studies' quality was assessed using Cochrane's updated Risk of Bias Tool, and statistical analysis was performed in R Studio. Digital detoxification was found to be effective in improving subjective well-being (SWB) (Standardized mean difference [SMD] = 0.21, 95% CI: 0.06, 0.34; p < 0.01, I² = 73.6%, n = 14 papers), as well as PWB (SMD = 0.27, 95% CI: 0.09, 0.46; p < 0.05; I² = 0.0%, n = 4 papers). Notably, we detected no publication bias but addressed funnel plot asymmetry using Trim & Fill. Moderation analysis revealed the impact of internet coverage, developmental status, location, intervention effectiveness, and risk of bias on the estimated effect size for SWB. Meta-regression highlighted the significant influence of mean age, and although no potential outliers were identified, influential plots are provided for transparency. Our findings consolidate the efficacy of digital detoxification, emphasizing the need for nuanced consideration of study factors. This study contributes to the ongoing discourse on digital well-being, offering valuable insights for researchers, practitioners, and policymakers.

The aim of this study was to examine the relationship between different screen time (ST)-related behaviors and mental health conditions such as depression, anxiety, and stress. In addition, this study aimed to determine the moderating role of socioeconomic status (SES). This was a cross-sectional study and included data from 620 adolescents, aged 12-17 years, from the Valle de Ricote, Region of Murcia, Spain. Mental health was assessed using the Depression, Anxiety, and Stress Scale (DASS-21). Overall ST, mobile phone use, social network use, and messaging application use were measured using validated questionnaires. SES was assessed using the Family Affluence Scale-III. The results indicated that overall ST was significantly associated with symptoms of depression at the mean SES (unstandardized beta coefficient [B] = 0.005, p = 0.023) and 1 standard deviation (SD) below the mean (B = 0.007, p = 0.011), and with stress only 1 SD below the mean (B = 0.006, p = 0.011). No significant associations were found for anxiety and stress across all socioeconomic levels. Mobile phone use exhibited a strong positive association with symptoms of depression (B = 0.891, p < 0.001), anxiety (B = 0.530, p = 0.014), and stress (B = 0.790, p < 0.001) at 1 SD below the mean SES. Similar patterns were observed for mean SES, albeit with slightly weaker associations. Conversely, social network use was positively associated with all three DASS-21 scales, particularly at 1 SD below the mean SES, with the strongest associations found for symptoms of depression (B = 0.327, p < 0.001), anxiety (B = 0.325, p < 0.001), and stress (B = 0.318, p < 0.001). Furthermore, messaging application use did not show significant associations with symptoms of depression, anxiety, or stress across any SES levels. In conclusion, social inequalities may influence the associations between various ST-related behavior and symptoms of depression, anxiety, and stress among adolescents. These findings may have implications for the design of effective interventions to improve symptoms of depression, anxiety, and stress in this population.

With the increasing adoption of mixed reality (MR) headsets with video passthrough functionality, concerns over perceptual and social effects have surfaced. Building on prior qualitative findings,¹ this study quantitatively investigates the impact of video passthrough on users. Forty participants completed a body transfer task twice, once while wearing a headset in video passthrough and once without a headset. Using video passthrough induced simulator sickness, created social absence (another person in the physical room feels less present), altered self-reported body schema, and distorted distance perception. On the other hand, compared with past research that showed perceptual aftereffects from video passthrough, the current study found none. We discuss the broader implications for the widespread adoption of MR headsets and their impact on theories surrounding presence and body transfer.

Information and communication technologies (ICT) provide digital tools to support and facilitate social engagement. However, the extent to which new ICTs, such as instant messaging, and training on its use, enhance intergenerational family interactions and reduce social isolation and loneliness needs further exploration. In the present study, we developed a brief psychoeducational intervention to promote older adults and their family members (N = 64) to use new technologies to increase communication with each other. With a randomized controlled trial design, we evaluated the effectiveness of the intervention in changing primarily participants' intergenerational interactions, perceived social isolation, and loneliness. Through repeated-measures analysis of variance, an overall condition by time effect was found in younger family members such that contact frequency improved in the intervention condition compared with the waitlist control condition. Using a dyadic framework, we further investigated the role of the intervention in fostering interactions among family members. Dyadic analyses showed a partner effect with contact frequency in younger adults at pre-assessment predicting contact frequency of older adults at post-assessment. This suggests that support and encouragement from younger family members could increase intergenerational interactions and technology adoption among older adults. Moreover, online phone calls served as a promising tool to enhance intergenerational communication; higher user satisfaction was associated with increased ICT use, perceived usefulness, and fewer barriers to technology. This study provides preliminary findings on the effectiveness of ICT-based interventions for engaging older adults and their family members in the use of newer technologies to promote intergenerational interactions and reduce social isolation.