Xiang Ding
ABSTRACT
Current research on smartphone addiction has mainly focused on addiction at the device level. This motivated us to explore more specifically on app addiction. We investigate smartphone usage for college students using surveys, logged data, and interviews. Specifically, we adapted existing smartphone addiction assessment instruments to measure app addiction. The analysis of our data shows that social and communication apps are the top 2 most addictive categories among participants. Female and male participants show no significant difference in terms of smartphone addiction. However, female participants tend to report that they are addicted to more apps. The psychological factors associated with app addiction are different between app categories. For example, compared to communication apps, participants report that it is easier to withdraw from social apps, but more difficult to control time spent on them. Correlation analysis between app usage features and app addictiveness scores reveals that compulsive open times, usage duration, and regularity of usage are good indicators of app addiction, though response time to notifications has limited predictive power.
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Index Terms
- Beyond Smartphone Overuse: Identifying Addictive Mobile Apps
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Reviews
Agnieszka Szymanska
More and more, research on Internet addiction applies not only to games or time spent on the network, but also to smartphone addiction. The main aim of the analysis reported in the paper is the relation between mobile apps and proneness to smartphone addiction. The study was conducted on a sample of 26 students (18 male and eight female). The level of smartphone usage by the participants was controlled. To measure the level of overuse of smartphone apps, a modified smartphone addiction scale for adults (SAPSA), which consists of four factors-interference, virtual world, withdrawal, and tolerance-was used. Five categories of addictive apps were identified: social (for example, Facebook), communication (for example, WhatsApp, email), browsers, media and video, and games. The authors' analysis revealed that although "female and male participants show no significant difference in terms of smartphone" daily usage, female participants reported to be more addicted to apps. According to participants, "it is easier to withdraw from social apps [... rather than] control time spent on them." The analysis also revealed "that compulsive open times and usage [duration] are good indicators of app addiction." The study population is quite small to draw general conclusions. However, the results and the method can be very inspiring for other researchers. Online Computing Reviews Service
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