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Gathering People’s Happy Moments from Collective Human Eyes and Ears for a Wellbeing and Mindful Society

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Augmented Cognition. Human Cognition and Behavior (HCII 2020)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12197))

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Abstract

Information technologies are dramatically and rapidly changing our world. Human well-being is one of the most important factors in our everyday lives. Although the importance of well-being is widely discussed, there are very few actual digital services to facilitate human well-being. Remembering happy moments significantly increases human well-being, so memorizing happy moments from the past and presenting those moments in the present is a promising future direction for promoting well-being in our everyday lives. In this paper, we present CollectiveEyes, an invention that allows us to share collective people’s eyes and ears, and use CollectiveEyes to memorize and present visuals and sound recordings of various people’s happy moments to explore human well-being. We first analyze happy moments and introduce an analysis framework for designing happy moments. We also conduct experiments using a scenario-based analysis to investigate how to gather happy moments with CollectiveEyes.

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Notes

  1. 1.

    https://www.google.com/glass/.

  2. 2.

    http://relatedwords.org/.

  3. 3.

    https://www.wordclouds.com/.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Waseda University, Tokyo, Japan

    Risa Kimura & Tatsuo Nakajima

Authors
  1. Risa Kimura
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  2. Tatsuo Nakajima
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Corresponding author

Correspondence to Risa Kimura .

Editor information

Editors and Affiliations

  1. Soar Technology Inc., Orlando, FL, USA

    Dylan D. Schmorrow

  2. Design Interactive, Inc., Orlando, FL, USA

    Cali M. Fidopiastis

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Kimura, R., Nakajima, T. (2020). Gathering People’s Happy Moments from Collective Human Eyes and Ears for a Wellbeing and Mindful Society. In: Schmorrow, D., Fidopiastis, C. (eds) Augmented Cognition. Human Cognition and Behavior. HCII 2020. Lecture Notes in Computer Science(), vol 12197. Springer, Cham. https://doi.org/10.1007/978-3-030-50439-7_14

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  • DOI: https://doi.org/10.1007/978-3-030-50439-7_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-50438-0

  • Online ISBN: 978-3-030-50439-7

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