Group detection based on user-to-user distance in everyday life for office lunch group recommendation

Ryota Koshiba, Yuko Hirabe, Manato Fujimoto, Hirohiko Suwa, Yutaka Arakawa, Keiichi Yasumoto

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

1 Citation (Scopus)

Abstract

Companies have recently been introducing an event system called shuffle lunch, which aims to effectively utilize lunch breaks. The system has been garnering attention from many enterprises because it livens relationships and strengthens cooperation between departments and individual workers. In existing shuffle lunch systems, lunch groups are randomly generated. Random groups however, can cause problems. For example, some people might feel awkward about eating with new people, groups might not agree about when and where to eat, or some people may be absent. To form better lunch groups, the relationships between potential group members have to be known. In this study, we propose a method for dynamically detecting groups by using smartphones to measure the daily physical proximities of people. We also developed an Android application to realize our proposed method. We evaluated our system through a series of experiments and found that our proposed method can accurately detect groups, based on the proximities measured by the Android application.

Original languageEnglish
Title of host publicationProceedings - 31st IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2017
EditorsTomoya Enokido, Makoto Takizawa, Chi-Yi Lin, Hui-Huang Hsu, Leonard Barolli
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages309-314
Number of pages6
ISBN (Electronic)9781509062300
DOIs
Publication statusPublished - May 16 2017
Event31st IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2017 - Taipei, Taiwan, Province of China
Duration: Mar 27 2017Mar 29 2017

Publication series

NameProceedings - 31st IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2017

Conference

Conference31st IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2017
CountryTaiwan, Province of China
CityTaipei
Period3/27/173/29/17

Fingerprint

Smartphones
Industry
Experiments
Everyday life
Proximity
Experiment
Workers

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems
  • Safety, Risk, Reliability and Quality
  • Information Systems and Management

Cite this

Koshiba, R., Hirabe, Y., Fujimoto, M., Suwa, H., Arakawa, Y., & Yasumoto, K. (2017). Group detection based on user-to-user distance in everyday life for office lunch group recommendation. In T. Enokido, M. Takizawa, C-Y. Lin, H-H. Hsu, & L. Barolli (Eds.), Proceedings - 31st IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2017 (pp. 309-314). [7929695] (Proceedings - 31st IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WAINA.2017.43

Group detection based on user-to-user distance in everyday life for office lunch group recommendation. / Koshiba, Ryota; Hirabe, Yuko; Fujimoto, Manato; Suwa, Hirohiko; Arakawa, Yutaka; Yasumoto, Keiichi.

Proceedings - 31st IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2017. ed. / Tomoya Enokido; Makoto Takizawa; Chi-Yi Lin; Hui-Huang Hsu; Leonard Barolli. Institute of Electrical and Electronics Engineers Inc., 2017. p. 309-314 7929695 (Proceedings - 31st IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2017).

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

Koshiba, R, Hirabe, Y, Fujimoto, M, Suwa, H, Arakawa, Y & Yasumoto, K 2017, Group detection based on user-to-user distance in everyday life for office lunch group recommendation. in T Enokido, M Takizawa, C-Y Lin, H-H Hsu & L Barolli (eds), Proceedings - 31st IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2017., 7929695, Proceedings - 31st IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2017, Institute of Electrical and Electronics Engineers Inc., pp. 309-314, 31st IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2017, Taipei, Taiwan, Province of China, 3/27/17. https://doi.org/10.1109/WAINA.2017.43
Koshiba R, Hirabe Y, Fujimoto M, Suwa H, Arakawa Y, Yasumoto K. Group detection based on user-to-user distance in everyday life for office lunch group recommendation. In Enokido T, Takizawa M, Lin C-Y, Hsu H-H, Barolli L, editors, Proceedings - 31st IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 309-314. 7929695. (Proceedings - 31st IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2017). https://doi.org/10.1109/WAINA.2017.43
Koshiba, Ryota ; Hirabe, Yuko ; Fujimoto, Manato ; Suwa, Hirohiko ; Arakawa, Yutaka ; Yasumoto, Keiichi. / Group detection based on user-to-user distance in everyday life for office lunch group recommendation. Proceedings - 31st IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2017. editor / Tomoya Enokido ; Makoto Takizawa ; Chi-Yi Lin ; Hui-Huang Hsu ; Leonard Barolli. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 309-314 (Proceedings - 31st IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2017).
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