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Lovable couch: mitigating distrustful feelings for couples by visualizing excitation

Published:09 March 2015Publication History

ABSTRACT

Increasing percentage of unmarried individuals in Japan has triggered decline in birth rate. This is partially caused by dominating modern lifestyles that involve long working hours, as well as increasing sex segregation in social interaction. People who are singles have fewer opportunities to build romantic relationships; therefore, speed-dating services have recently become popular. However, challenges still remain in supporting dating interaction especially to determine whether a potential couple feels affection toward each other. Hence, many people feel distrust and anxiety when being approached by a dating partner thus makes them feel hesitate to move forward. In this work, we report our findings that by visualizing excitation aggregated from users' heartbeat changes potentially help users to determine whether their potential partners feel mutual affection during a date. We propose Lovable Couch, an approach to support dating session by visually actuating a sofa with user's excitement measures as a way to mitigate users' anxiety.

References

  1. National Institute of Population and social Security Research. http://www.ipss.go.jp/index-e.aspGoogle ScholarGoogle Scholar
  2. Pomeraz B, Macauley RJB, Caudill MA, et al. Assessment of autonomic function in humans by heart rate spectral analysis. Am J Physiol Heart Circ Physiol 248: pp. 151--153 (1985).Google ScholarGoogle ScholarCross RefCross Ref

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  1. Lovable couch: mitigating distrustful feelings for couples by visualizing excitation

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    • Published in

      cover image ACM Other conferences
      AH '15: Proceedings of the 6th Augmented Human International Conference
      March 2015
      241 pages
      ISBN:9781450333498
      DOI:10.1145/2735711
      • General Chairs:
      • Suranga Nanayakkara,
      • Ellen Yi-Luen Do,
      • Program Chairs:
      • Jun Rekimoto,
      • Jochen Huber,
      • Bing-Yu Chen

      Copyright © 2015 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 9 March 2015

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      Overall Acceptance Rate121of306submissions,40%

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