Uichin Lee, Joonwon Lee, Minsam Ko, Changhun Lee, Yuhwan Kim, Subin Yang, Koji Yatani, Gahgene Gweon, Kyong-Mee Chung, and Junehwa Song
The impact of smartphone addiction on young adults, such as sleep deprivation and attention deficits, are increasingly being recognized. This emerging issue motivated us to identify smartphone usage patterns relating to smartphone addiction. We investigate smartphone usage for 95 college students using surveys, logged data, and interviews. We first divide the participants into risk and non-risk groups based on self-reported psychometric scale data about smartphone addiction. We then analyze the usage data to uncover between-group usage differences, ranging from overall usage patterns to app-specific usage patterns. Our results reveal that compared to the non-risk group, the risk group has longer usage time per day and differences in diurnal usage. The risk group is more susceptible to push notifications, and tends to consume more online content. We identify a relationship between usage features and smartphone addiction with analytic modeling and provide detailed illustration of problematic usage behavior from interview data.
|Published in||CHI 2014 Conference on Human Factors in Information Systems|