NUGU: A group-based intervention app for improving self-regulation of limiting Smartphone use

Minsam Ko, Subin Yang, Joonwon Lee, Christian Heizmann, Jinyoung Jeong, Uichin Lee, Daehee Shin, Koji Yatani, Junehwa Song, Kyong Mee Chung

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

33 Citations (Scopus)

Abstract

Our preliminary study reveals that individuals use various management strategies for limiting smartphone use, ranging from keeping smartphones out of reach to removing apps. However, we also found that users often had difficulties in maintaining their chosen management strategies due to lack of self-regulation. In this paper, we present NUGU, a groupbased intervention app for improving self-regulation of limiting smartphone use through leveraging social support: groups of people limit their use together by sharing their limiting information. NUGU is designed based on social cognitive theory, and it has been developed iteratively through two pilot tests. Our three-week user study (n = 62) demonstrated that compared with its non-social counterpart, the NUGU users' usage amount significantly decreased and their perceived level of managing disturbances improved. Furthermore, our exit interview confirmed that NUGU's design elements are effective for achieving limiting goals.

Original languageEnglish
Title of host publicationCSCW 2015 - Proceedings of the 2015 ACM International Conference on Computer-Supported Cooperative Work and Social Computing
PublisherAssociation for Computing Machinery, Inc
Pages1235-1245
Number of pages11
ISBN (Electronic)9781450329224
DOIs
Publication statusPublished - 2015 Feb 28
Event18th ACM International Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2015 - BC, Canada
Duration: 2015 Mar 142015 Mar 18

Publication series

NameCSCW 2015 - Proceedings of the 2015 ACM International Conference on Computer-Supported Cooperative Work and Social Computing

Other

Other18th ACM International Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2015
CountryCanada
CityBC
Period15/3/1415/3/18

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Smartphones
Application programs

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

Cite this

Ko, M., Yang, S., Lee, J., Heizmann, C., Jeong, J., Lee, U., ... Chung, K. M. (2015). NUGU: A group-based intervention app for improving self-regulation of limiting Smartphone use. In CSCW 2015 - Proceedings of the 2015 ACM International Conference on Computer-Supported Cooperative Work and Social Computing (pp. 1235-1245). (CSCW 2015 - Proceedings of the 2015 ACM International Conference on Computer-Supported Cooperative Work and Social Computing). Association for Computing Machinery, Inc. https://doi.org/10.1145/2675133.2675244
Ko, Minsam ; Yang, Subin ; Lee, Joonwon ; Heizmann, Christian ; Jeong, Jinyoung ; Lee, Uichin ; Shin, Daehee ; Yatani, Koji ; Song, Junehwa ; Chung, Kyong Mee. / NUGU : A group-based intervention app for improving self-regulation of limiting Smartphone use. CSCW 2015 - Proceedings of the 2015 ACM International Conference on Computer-Supported Cooperative Work and Social Computing. Association for Computing Machinery, Inc, 2015. pp. 1235-1245 (CSCW 2015 - Proceedings of the 2015 ACM International Conference on Computer-Supported Cooperative Work and Social Computing).
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abstract = "Our preliminary study reveals that individuals use various management strategies for limiting smartphone use, ranging from keeping smartphones out of reach to removing apps. However, we also found that users often had difficulties in maintaining their chosen management strategies due to lack of self-regulation. In this paper, we present NUGU, a groupbased intervention app for improving self-regulation of limiting smartphone use through leveraging social support: groups of people limit their use together by sharing their limiting information. NUGU is designed based on social cognitive theory, and it has been developed iteratively through two pilot tests. Our three-week user study (n = 62) demonstrated that compared with its non-social counterpart, the NUGU users' usage amount significantly decreased and their perceived level of managing disturbances improved. Furthermore, our exit interview confirmed that NUGU's design elements are effective for achieving limiting goals.",
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Ko, M, Yang, S, Lee, J, Heizmann, C, Jeong, J, Lee, U, Shin, D, Yatani, K, Song, J & Chung, KM 2015, NUGU: A group-based intervention app for improving self-regulation of limiting Smartphone use. in CSCW 2015 - Proceedings of the 2015 ACM International Conference on Computer-Supported Cooperative Work and Social Computing. CSCW 2015 - Proceedings of the 2015 ACM International Conference on Computer-Supported Cooperative Work and Social Computing, Association for Computing Machinery, Inc, pp. 1235-1245, 18th ACM International Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2015, BC, Canada, 15/3/14. https://doi.org/10.1145/2675133.2675244

NUGU : A group-based intervention app for improving self-regulation of limiting Smartphone use. / Ko, Minsam; Yang, Subin; Lee, Joonwon; Heizmann, Christian; Jeong, Jinyoung; Lee, Uichin; Shin, Daehee; Yatani, Koji; Song, Junehwa; Chung, Kyong Mee.

CSCW 2015 - Proceedings of the 2015 ACM International Conference on Computer-Supported Cooperative Work and Social Computing. Association for Computing Machinery, Inc, 2015. p. 1235-1245 (CSCW 2015 - Proceedings of the 2015 ACM International Conference on Computer-Supported Cooperative Work and Social Computing).

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

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Ko M, Yang S, Lee J, Heizmann C, Jeong J, Lee U et al. NUGU: A group-based intervention app for improving self-regulation of limiting Smartphone use. In CSCW 2015 - Proceedings of the 2015 ACM International Conference on Computer-Supported Cooperative Work and Social Computing. Association for Computing Machinery, Inc. 2015. p. 1235-1245. (CSCW 2015 - Proceedings of the 2015 ACM International Conference on Computer-Supported Cooperative Work and Social Computing). https://doi.org/10.1145/2675133.2675244