IntimaSea: Exploring Shared Stress Display in Close Relationships

Jiang, Y., Ding, X. , Ma, X., Sun, Z. and Gu, N. (2023) IntimaSea: Exploring Shared Stress Display in Close Relationships. In: 2023 CHI Conference on Human Factors in Computing Systems (CHI '23), Hamburg, Germany, 23-28 Apr 2023, p. 428. ISBN 9781450394215 (doi: 10.1145/3544548.3581000)

Abstract

Automatic stress tracking has become increasingly available on wearable devices. Research has investigated its use for individual stress management, largely within the traditional data-as-care framing. However, its use for stress sharing in social relationships, particularly close relationships, is still under explored. Inspired by the idea of “caring-through-data”, which focuses on mediating the social and emotional experiences of the collective “us” with data, this paper presents a design study with a prototype called IntimaSea, a display featuring illustrative stress data in collective forms to be shared among close relationships. The field trials with nine groups of intimately-connected users (N=19) highlight its potential on stress awareness, interpretation and management, as well as intimacy promotion. We end by discussing sharing stress for social ways of stress management, stress data as a meaningful social cue mediating relationships, as well as design implications for caring-through-data.

• Item Type: Conference Proceedings
• Additional Information: This work was supported by the National Natural Science Foundation of China (NSFC) under the Grant No. 61932007
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Ding, Dr Sharon
• Authors: Jiang, Y., Ding, X., Ma, X., Sun, Z., and Gu, N.
• College/School: College of Science and Engineering > School of Computing Science
• ISBN: 9781450394215
• Copyright Holders: Copyright © 2023 The Authors
• First Published: First published in Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems: 428
• Publisher Policy: Reproduced in accordance with the publisher copyright policy

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