Not What I Want to Log or Share: Exploring How to Enhance Technological Support through Affordable Behavioral Self-Monitoring and Data Sharing with Key Support Figures

Shopping addiction is characterized by unrestrained repetitive purchasing behavior, negatively impacting one's financial stability and social welfare. This study sought to gain insights into the development of self-monitoring devices and data sharing schemes to assist in dealing with shopping addiction. In this two-phase study, the Bergen Shopping Addiction Scale was first used in the pre-study screening survey to identify individuals with a propensity toward shopping addiction. In the second phase, an online survey was conducted, comprising (1) a study introduction and consent form, (2) the main survey, and (3) follow-up demographic questions. Phase II involved 332 participants meeting this criterion and was conducted to examine behavioral tendencies, evaluate prior intervention experiences, and elicit user preferences pertaining to self-monitoring and data sharing. The majority of respondents expressed a preference for systems that facilitate the tracking of shopping behavior and enable data sharing with intimate partners. Based on these findings, we recommend three directions for the further development of support systems: 1) Reduce the burden of mood tracking; 2) Streamline mechanisms for sharing data with key support figures; and 3) Tailor intervention strategies in accordance with key addiction indicators.

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Publication Details

Journal
Proceedings of the ACM on Human-Computer Interaction
Published
2025-10-16
DOI
https://doi.org/10.1145/3757637
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
0.00
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article

Not What I Want to Log or Share: Exploring How to Enhance Technological Support through Affordable Behavioral Self-Monitoring and Data Sharing with Key Support Figures

Chien Wen Yuan, Hsiang-Chih Chiu, Annie Chung, Nanyi Bi et al.
Proceedings of the ACM on Human-Computer Interaction
Technology Adoption and User Behaviour
article

Not What I Want to Log or Share: Exploring How to Enhance Technological Support through Affordable Behavioral Self-Monitoring and Data Sharing with Key Support Figures

Chien Wen Yuan, Hsiang-Chih Chiu, Annie Chung, Nanyi Bi, Chuang-Wen You, Ming‐Chyi Huang, Yan-Ming Chen, I-Hsuan Wu
article en

Abstract

Shopping addiction is characterized by unrestrained repetitive purchasing behavior, negatively impacting one's financial stability and social welfare. This study sought to gain insights into the development of self-monitoring devices and data sharing schemes to assist in dealing with shopping addiction. In this two-phase study, the Bergen Shopping Addiction Scale was first used in the pre-study screening survey to identify individuals with a propensity toward shopping addiction. In the second phase, an online survey was conducted, comprising (1) a study introduction and consent form, (2) the main survey, and (3) follow-up demographic questions. Phase II involved 332 participants meeting this criterion and was conducted to examine behavioral tendencies, evaluate prior intervention experiences, and elicit user preferences pertaining to self-monitoring and data sharing. The majority of respondents expressed a preference for systems that facilitate the tracking of shopping behavior and enable data sharing with intimate partners. Based on these findings, we recommend three directions for the further development of support systems: 1) Reduce the burden of mood tracking; 2) Streamline mechanisms for sharing data with key support figures; and 3) Tailor intervention strategies in accordance with key addiction indicators.

Proceedings of the ACM on Human-Computer InteractionVol. 9(7)
National Taiwan University (TW), National Tsing Hua University (TW), Taipei City Hospital (TW)
Openalex Percentile: Top 72%
Technology Adoption and User Behaviour
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