Analyzing the relationship between cognitive performance and time to find intended mobile app

Keiichi Ochiai, Naoki Yamamoto, Takashi Hamatani, Yusuke Fukazawa, Masatoshi Kimoto, Yuuri Terasawa, Kazuki Kiriu, Kouhei Kaminishi, Jun Ota, Tsukasa Okimura, Takaki Maeda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationUbiComp/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
PublisherAssociation for Computing Machinery, Inc
Pages1686-1690
Number of pages5
ISBN (Electronic)9781450359665
DOIs
Publication statusPublished - 2018 Oct 8
Event2018 Joint ACM International Conference on Pervasive and Ubiquitous Computing, UbiComp 2018 and 2018 ACM International Symposium on Wearable Computers, ISWC 2018 - Singapore, Singapore
Duration: 2018 Oct 82018 Oct 12

Other

Other2018 Joint ACM International Conference on Pervasive and Ubiquitous Computing, UbiComp 2018 and 2018 ACM International Symposium on Wearable Computers, ISWC 2018
CountrySingapore
CitySingapore
Period18/10/818/10/12

Fingerprint

Smartphones
Application programs

Keywords

  • Cognitive Performance
  • Go/No-Go task
  • Smartphone Log

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Information Systems

Cite this

Ochiai, K., Yamamoto, N., Hamatani, T., Fukazawa, Y., Kimoto, M., Terasawa, Y., ... Maeda, T. (2018). Analyzing the relationship between cognitive performance and time to find intended mobile app. In 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 (pp. 1686-1690). Association for Computing Machinery, Inc. https://doi.org/10.1145/3267305.3267534

Analyzing the relationship between cognitive performance and time to find intended mobile app. / Ochiai, Keiichi; Yamamoto, Naoki; Hamatani, Takashi; Fukazawa, Yusuke; Kimoto, Masatoshi; Terasawa, Yuuri; Kiriu, Kazuki; Kaminishi, Kouhei; Ota, Jun; Okimura, Tsukasa; Maeda, Takaki.

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. Association for Computing Machinery, Inc, 2018. p. 1686-1690.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ochiai, K, Yamamoto, N, Hamatani, T, Fukazawa, Y, Kimoto, M, Terasawa, Y, Kiriu, K, Kaminishi, K, Ota, J, Okimura, T & Maeda, T 2018, Analyzing the relationship between cognitive performance and time to find intended mobile app. in 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. Association for Computing Machinery, Inc, pp. 1686-1690, 2018 Joint ACM International Conference on Pervasive and Ubiquitous Computing, UbiComp 2018 and 2018 ACM International Symposium on Wearable Computers, ISWC 2018, Singapore, Singapore, 18/10/8. https://doi.org/10.1145/3267305.3267534
Ochiai K, Yamamoto N, Hamatani T, Fukazawa Y, Kimoto M, Terasawa Y et al. Analyzing the relationship between cognitive performance and time to find intended mobile app. In 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. Association for Computing Machinery, Inc. 2018. p. 1686-1690 https://doi.org/10.1145/3267305.3267534
Ochiai, Keiichi ; Yamamoto, Naoki ; Hamatani, Takashi ; Fukazawa, Yusuke ; Kimoto, Masatoshi ; Terasawa, Yuuri ; Kiriu, Kazuki ; Kaminishi, Kouhei ; Ota, Jun ; Okimura, Tsukasa ; Maeda, Takaki. / Analyzing the relationship between cognitive performance and time to find intended mobile app. 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. Association for Computing Machinery, Inc, 2018. pp. 1686-1690
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