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

Published: 26 February 2018 Publication History

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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    cover image ACM Conferences
    HRI '18: Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction
    February 2018
    468 pages
    ISBN:9781450349536
    DOI:10.1145/3171221
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 26 February 2018

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    1. field study.
    2. living noise
    3. one-person households
    4. social connectivity
    5. sound recognition

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    Overall Acceptance Rate 268 of 1,124 submissions, 24%

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    • (2024)Qualitative Approaches to Voice UXACM Computing Surveys10.1145/365866656:12(1-34)Online publication date: 20-Apr-2024
    • (2024)There is an “I” in “We”: Relatedness Technologies Viewed Through the Lens of the Need for AutonomyExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3650985(1-7)Online publication date: 11-May-2024
    • (2024)Integration of a Shape Memory Alloy with a Soft Pneumatic Actuator to Improve the Haptic Interaction Performance of a Soft Social RobotExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3650922(1-8)Online publication date: 11-May-2024
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    • (2023)“Briefly Entertaining but Pointless”: Perceived Benefits & Risks of Social Robots in the HomeExtended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3585696(1-6)Online publication date: 19-Apr-2023
    • (2022)Non-Dyadic Human-Robot InteractionProceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction10.5555/3523760.3523963(1176-1178)Online publication date: 7-Mar-2022
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