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Palm Happiness: A Location-Based Application to Promote Awareness of Everyday Happy Moments

Published: 28 September 2022 Publication History

Abstract

There has been growing interest in the development of mobile applications aimed at promoting mental well-being. In this paper, we present one such application that was developed based on the three good things, a psychological intervention that aims to cultivate positive mental well-being and has been shown to help reduce depression and improve perceived happiness. The application combines a digitized version of the intervention with a location-based recommender system that can suggest nearby locations which could provide opportunities for users to experience positive emotions. The key characteristics of the ”good things” recorded by users are also visualized to help users better self-reflect on what made them happy in daily life. A preliminary evaluation of the system was carried out with 13 users, showing above average scores for usability, perspicuity,novelty as well as perceived usefulness and intention to use.

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cover image ACM Conferences
MobileHCI '22: Adjunct Publication of the 24th International Conference on Human-Computer Interaction with Mobile Devices and Services
September 2022
124 pages
ISBN:9781450393416
DOI:10.1145/3528575
Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Publication History

Published: 28 September 2022

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Author Tags

  1. M-health
  2. Mental well-being
  3. Recommender Systems
  4. Three Good Things

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  • Extended-abstract
  • Research
  • Refereed limited

Funding Sources

  • Kyoto Health Science Research Center Joint Research Project Support Fund
  • JSPS KAKENHI
  • Kyoto Sangyo University Research Grants

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MobileHCI '22
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Overall Acceptance Rate 202 of 906 submissions, 22%

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