TY - GEN
T1 - Hooked on smartphones
T2 - 32nd Annual ACM Conference on Human Factors in Computing Systems, CHI 2014
AU - Lee, Uichin
AU - Lee, Joonwon
AU - Ko, Minsam
AU - Lee, Changhun
AU - Kim, Yuhwan
AU - Yang, Subin
AU - Yatani, Koji
AU - Gweon, Gahgene
AU - Chung, Kyong Mee
AU - Song, Junehwa
PY - 2014
Y1 - 2014
N2 - The negative aspects of smartphone overuse on young adults, such as sleep deprivation and attention deficits, are being increasingly recognized recently. This emerging issue motivated us to analyze the usage patterns related to smartphone overuse. 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 rating scale for smartphone overuse. We then analyze the usage data to identify between-group usage differences, which ranged from the overall usage patterns to appspecific usage patterns. Compared with the non-risk group, our results show that the risk group has longer usage time per day and different diurnal usage patterns. Also, the risk group users are more susceptible to push notifications, and tend to consume more online content. We characterize the overall relationship between usage features and smartphone overuse using analytic modeling and provide detailed illustrations of problematic usage behaviors based on interview data.
AB - The negative aspects of smartphone overuse on young adults, such as sleep deprivation and attention deficits, are being increasingly recognized recently. This emerging issue motivated us to analyze the usage patterns related to smartphone overuse. 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 rating scale for smartphone overuse. We then analyze the usage data to identify between-group usage differences, which ranged from the overall usage patterns to appspecific usage patterns. Compared with the non-risk group, our results show that the risk group has longer usage time per day and different diurnal usage patterns. Also, the risk group users are more susceptible to push notifications, and tend to consume more online content. We characterize the overall relationship between usage features and smartphone overuse using analytic modeling and provide detailed illustrations of problematic usage behaviors based on interview data.
UR - http://www.scopus.com/inward/record.url?scp=84900430848&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84900430848&partnerID=8YFLogxK
U2 - 10.1145/2556288.2557366
DO - 10.1145/2556288.2557366
M3 - Conference contribution
AN - SCOPUS:84900430848
SN - 9781450324731
T3 - Conference on Human Factors in Computing Systems - Proceedings
SP - 2327
EP - 2336
BT - CHI 2014
PB - Association for Computing Machinery
Y2 - 26 April 2014 through 1 May 2014
ER -