TY - GEN
T1 - Analyzing the relationship between cognitive performance and time to find intended mobile app
AU - Ochiai, Keiichi
AU - Yamamoto, Naoki
AU - Hamatani, Takashi
AU - Fukazawa, Yusuke
AU - Kimoto, Masatoshi
AU - Terasawa, Yuri
AU - Kiriu, Kazuki
AU - Kaminishi, Kouhei
AU - Ota, Jun
AU - Okimura, Tsukasa
AU - Maeda, Takaki
N1 - Publisher Copyright:
© 2018 Association for Computing Machinery.
Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.
PY - 2018/10/8
Y1 - 2018/10/8
N2 - Although mental illness is one of the most serious social problems, stress does not necessarily have a negative effect, on the contrary, an optimal amount of stress can result in individuals being able to perform better in tasks. While there have been several studies on estimating stress level from smartphone usage logs and several effective features were revealed as a result, there are few studies on estimating cognitive performance. Thus, in this paper, we explore several factors affecting the estimation of cognitive performance from smartphone logs. To conduct the analysis, we collected smartphone usage logs and Go/No-Go task data for 6 weeks from 39 participants in the wild. We found that the time to find intended app is related to cognitive performance. This result suggests that measuring the time to find intended app can be the effective feature of estimating cognitive performance from smartphone logs.
AB - Although mental illness is one of the most serious social problems, stress does not necessarily have a negative effect, on the contrary, an optimal amount of stress can result in individuals being able to perform better in tasks. While there have been several studies on estimating stress level from smartphone usage logs and several effective features were revealed as a result, there are few studies on estimating cognitive performance. Thus, in this paper, we explore several factors affecting the estimation of cognitive performance from smartphone logs. To conduct the analysis, we collected smartphone usage logs and Go/No-Go task data for 6 weeks from 39 participants in the wild. We found that the time to find intended app is related to cognitive performance. This result suggests that measuring the time to find intended app can be the effective feature of estimating cognitive performance from smartphone logs.
KW - Cognitive Performance
KW - Go/No-Go task
KW - Smartphone Log
UR - http://www.scopus.com/inward/record.url?scp=85058341410&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85058341410&partnerID=8YFLogxK
U2 - 10.1145/3267305.3267534
DO - 10.1145/3267305.3267534
M3 - Conference contribution
AN - SCOPUS:85058341410
T3 - UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers
SP - 1686
EP - 1690
BT - UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers
PB - Association for Computing Machinery, Inc
T2 - 2018 Joint ACM International Conference on Pervasive and Ubiquitous Computing, UbiComp 2018 and 2018 ACM International Symposium on Wearable Computers, ISWC 2018
Y2 - 8 October 2018 through 12 October 2018
ER -