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Past research has discovered that the shape design and interaction process design of AI robots, as well as the users' constant features, are the major factors that affect users' willingness to interact with AI robots. Currently, AI robots that play a vital part in the daily activities of our society are becoming increasingly prevalent, thus things about AI robots have gone from mythic to prosaic. But when and where people are more likely to adopt AI robots remains an important research topic. With the development of online technology and the long-term impact of COVID-19, there has been a recent trend in the lower frequency of socializing. To investigate whether a state of low socializing frequency is a robotic moment and whether it affects people's willingness to interact with AI robots, we conducted two-wave questionnaire surveys to collect data from 300 participants from 23 provinces in China. The results showed that the frequency of socializing had a significant negative correlation with the willingness to interact with the AI robots via the mediation role of social compensation. Furthermore, the relationship between social compensation and willingness to interact with the AI robots was demonstrated to be stronger, when participants had a lower anthropomorphic tendency. These findings have theoretical implications for the human–computer interaction literature and managerial implications for the robotics industry. [ABSTRACT FROM AUTHOR]

Introduction: Although not yet recognized as an official disorder, Social Media Disorder (SMD) has recently received considerable interest in the research. However, relatively little is known about underlying motives for social media use and to what extent motives show differential associations with SMD symptom severity and SMD diagnosis. The overall aim of the present study was therefore to examine motives for social media use in relation to (1) which motives are most common, (2) associations between motives and both SMD symptom severity and SMD diagnosis, and (3) the effects of sex and age. Methods: Data were collected through a digital survey (n = 1820) and included both high school students (n = 924) and university students (n = 896). Six different motives were assessed, and SMD was measured in relation to both Heavy Involvement and Negative Consequences of social media use. Results: The results showed that the most common social media use motives were Entertainment, Social Maintenance, and Information and Skills. However, it was the three least common motives - Social Compensation, Self-status, and Escape - that were most strongly associated with SMD symptom severity and SMD diagnosis. These three motives explained as much as 42% of the variance in negative consequences of social media use. Only a few small effects of sex or age were found. Discussion: Some social media use motives are much more strongly associated with SMD than others are. This could indicate that prevention and intervention programs should target these motives specifically, rather than focusing on social media use in general. [ABSTRACT FROM AUTHOR]

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IntroductionAlthough not yet recognized as an official disorder, Social Media Disorder (SMD) has recently received considerable interest in the research. However, relatively little is known about underlying motives for social media use and to what extent motives show differential associations with SMD symptom severity and SMD diagnosis. The overall aim of the present study was therefore to examine motives for social media use in relation to (1) which motives are most common, (2) associations between motives and both SMD symptom severity and SMD diagnosis, and (3) the effects of sex and age.MethodsData were collected through a digital survey (n = 1820) and included both high school students (n = 924) and university students (n = 896). Six different motives were assessed, and SMD was measured in relation to both Heavy Involvement and Negative Consequences of social media use.ResultsThe results showed that the most common social media use motives were Entertainment, Social Maintenance, and Information and Skills. However, it was the three least common motives – Social Compensation, Self-status, and Escape – that were most strongly associated with SMD symptom severity and SMD diagnosis. These three motives explained as much as 42% of the variance in negative consequences of social media use. Only a few small effects of sex or age were found.DiscussionSome social media use motives are much more strongly associated with SMD than others are. This could indicate that prevention and intervention programs should target these motives specifically, rather than focusing on social media use in general.

Attention bias towards game information influences players' problematic mobile game usage (PMGU). Social experience is an important part of games. This study aimed to explore attention bias mechanisms of problematic mobile gamers for game social information. Experiments 1 and 2 recruited 68 participants (19.82 ± 1.38 years), and used the dot-probe task to investigate attention bias among problematic mobile gamers. Results showed that reaction time and trial-level bias scores (TL-BS) of socially anxious problematic mobile gamers toward game social information were not significantly different from those toward game non-social information. Experiment 3 recruited 35 participants (19.71 ± 1.18 years), and combined eye-tracking technology with the dot-probe task to investigate problematic mobile gamers' attention bias and dynamic visual processing. Results of this last experiment showed that socially anxious problematic mobile gamers' first fixation latency for game social information was significantly shorter than for game non-social information, and their gaze duration and total fixation duration were significantly longer for social than game non-social information. In summary, the eye tracking experiments give support for the idea that socially anxious problematic mobile gamers show attention bias towards game social information, which is presented as the vigilance-maintenance pattern. • The play motives of socially anxious problematic mobile gamers (SAPMGs) are vague. • SAPMGs have attention bias towards game social information. • SAPMGs exhibit the vigilance-maintenance pattern for game social information. • Socially anxious individuals seek social compensation, risk problematic behavior. [ABSTRACT FROM AUTHOR]