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Performance after Rewards and Penalties: An Empirical Study of Gain-Loss Incentive Structure in an mHealth App

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The rapid advancement of digital technology and growing interest in well-being have fueled the mobile health (mHealth) market. mHealth apps aim to support positive behavioral changes and maintain high user motivation through various health-related activities. This study examines the impact of a gain-loss incentive structure within mHealth apps, where users make a monetary deposit that could result in rewards, penalties, or neither, based on performance. Using data from a leading mHealth app platform in South Korea, we explore how gain and loss incentives affect users' subsequent performance. Our findings show that gains enhance performance, while losses diminish it. Unlike previous studies, we reveal that users who experience losses exhibit risk-averse behavior by lowering their deposit amounts rather than improving performance. These insights improve our understanding of financial incentives in mHealth and highlight potential drawbacks, offering valuable guidance for mHealth app platforms implementing such systems.

Original languageEnglish
Title of host publicationProceedings of the 58th Hawaii International Conference on System Sciences, HICSS 2025
EditorsTung X. Bui
PublisherIEEE Computer Society
Pages5755-5764
Number of pages10
ISBN (Electronic)9780998133188
DOIs
Publication statusPublished - 2025
Event58th Hawaii International Conference on System Sciences, HICSS 2025 - Honolulu, United States
Duration: 7 Jan 2025 → 10 Jan 2025

Publication series

NameProceedings of the Annual Hawaii International Conference on System Sciences
ISSN (Print)1530-1605

Conference

Conference58th Hawaii International Conference on System Sciences, HICSS 2025
Country/TerritoryUnited States
CityHonolulu
Period7/01/25 → 10/01/25

Bibliographical note

Publisher Copyright:
© 2025 IEEE Computer Society. All rights reserved.

Keywords

  • extrinsic motivation
  • gain-loss incentive
  • goal achievement
  • loss aversion
  • mHealth applications

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