Fribo: A Social Networking Robot for Increasing Social Connectedness through Sharing Daily Home Activities from Living Noise Data

Kwangmin Jeong, Jihyun Sung, Hae Sung Lee, Aram Kim, Hyemi Kim, Chanmi Park, Yuin Jeong, Jeehang Lee, Jinwoo Kim

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

5 Citations (Scopus)

Abstract

The rapid increase in the number of young adults living alone gives rise to a demand for the resolution of social isolation problems. Social robot technologies play a substantial role for this purpose. However, existing technologies try to solve the problem only through one-to-one interaction with robots, which in turn fails to utilize the real-world social relationships. Privacy concern is an additional issue since most social robots rely on the visual information for the interactions. To this end, we propose 'Fribo', auditory information centered social robot that recognizes user's activity by analyzing occupants' living noise and shares the activity information with close friends. A four-week field study with the first prototype of Fribo confirms that activity sharing through the use of anonymized living noise promises a virtual cohabiting experience that triggers more frequent real-world social interactions with less feeling of privacy intrusion. Based on this finding and the further qualitative analysis, we suggest a design principle of sound-based social networking robots and its associated new interactions, then present the second prototype of Fribo inspired by the implications from the field study.

Original languageEnglish
Title of host publicationHRI 2018 - Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction
PublisherIEEE Computer Society
Pages114-122
Number of pages9
ISBN (Electronic)9781450349536
DOIs
Publication statusPublished - 2018 Feb 26
Event13th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2018 - Chicago, United States
Duration: 2018 Mar 52018 Mar 8

Publication series

NameACM/IEEE International Conference on Human-Robot Interaction
ISSN (Electronic)2167-2148

Conference

Conference13th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2018
CountryUnited States
CityChicago
Period18/3/518/3/8

Fingerprint

Robots
Acoustic waves

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Human-Computer Interaction
  • Electrical and Electronic Engineering

Cite this

Jeong, K., Sung, J., Lee, H. S., Kim, A., Kim, H., Park, C., ... Kim, J. (2018). Fribo: A Social Networking Robot for Increasing Social Connectedness through Sharing Daily Home Activities from Living Noise Data. In HRI 2018 - Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction (pp. 114-122). (ACM/IEEE International Conference on Human-Robot Interaction). IEEE Computer Society. https://doi.org/10.1145/3171221.3171254
Jeong, Kwangmin ; Sung, Jihyun ; Lee, Hae Sung ; Kim, Aram ; Kim, Hyemi ; Park, Chanmi ; Jeong, Yuin ; Lee, Jeehang ; Kim, Jinwoo. / Fribo : A Social Networking Robot for Increasing Social Connectedness through Sharing Daily Home Activities from Living Noise Data. HRI 2018 - Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction. IEEE Computer Society, 2018. pp. 114-122 (ACM/IEEE International Conference on Human-Robot Interaction).
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abstract = "The rapid increase in the number of young adults living alone gives rise to a demand for the resolution of social isolation problems. Social robot technologies play a substantial role for this purpose. However, existing technologies try to solve the problem only through one-to-one interaction with robots, which in turn fails to utilize the real-world social relationships. Privacy concern is an additional issue since most social robots rely on the visual information for the interactions. To this end, we propose 'Fribo', auditory information centered social robot that recognizes user's activity by analyzing occupants' living noise and shares the activity information with close friends. A four-week field study with the first prototype of Fribo confirms that activity sharing through the use of anonymized living noise promises a virtual cohabiting experience that triggers more frequent real-world social interactions with less feeling of privacy intrusion. Based on this finding and the further qualitative analysis, we suggest a design principle of sound-based social networking robots and its associated new interactions, then present the second prototype of Fribo inspired by the implications from the field study.",
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Jeong, K, Sung, J, Lee, HS, Kim, A, Kim, H, Park, C, Jeong, Y, Lee, J & Kim, J 2018, Fribo: A Social Networking Robot for Increasing Social Connectedness through Sharing Daily Home Activities from Living Noise Data. in HRI 2018 - Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction. ACM/IEEE International Conference on Human-Robot Interaction, IEEE Computer Society, pp. 114-122, 13th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2018, Chicago, United States, 18/3/5. https://doi.org/10.1145/3171221.3171254

Fribo : A Social Networking Robot for Increasing Social Connectedness through Sharing Daily Home Activities from Living Noise Data. / Jeong, Kwangmin; Sung, Jihyun; Lee, Hae Sung; Kim, Aram; Kim, Hyemi; Park, Chanmi; Jeong, Yuin; Lee, Jeehang; Kim, Jinwoo.

HRI 2018 - Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction. IEEE Computer Society, 2018. p. 114-122 (ACM/IEEE International Conference on Human-Robot Interaction).

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

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Jeong K, Sung J, Lee HS, Kim A, Kim H, Park C et al. Fribo: A Social Networking Robot for Increasing Social Connectedness through Sharing Daily Home Activities from Living Noise Data. In HRI 2018 - Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction. IEEE Computer Society. 2018. p. 114-122. (ACM/IEEE International Conference on Human-Robot Interaction). https://doi.org/10.1145/3171221.3171254