Toward Usable Evidence: Optimizing Knowledge Accumulation in HCI Research on Health Behavior Change
Open accessAbstract
Over the last ten years, HCI researchers have introduced a range of novel ways to support health behavior change, from glanceable displays to sophisticated game dynamics. Yet, this research has not had as much impact as its originality warrants. A key reason for this is that common forms of evaluation used in HCI make it difficult to effectively accumulate-and use-knowledge across research projects. This paper proposes a strategy for HCI research on behavior change that retains the field's focus on novel technical contributions while enabling accumulation of evidence that can increase impact of individual research projects both in HCI and the broader behavior-change science. The core of this strategy is an emphasis on the discovery of causal effects of individual components of behavior-change technologies and the precise ways in which those effects vary with individual differences, design choices, and contexts in which those technologies are used.
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Research shows that basic needs are the mediating variables between product and well-being, and thus can be used as proximal criteria for adjusting design.
“In other words, basic needs are the mediating variables between product and well-being, and thus can be used as proximal criteria for adjusting design (making possible the “usable evidence” called for by Klasnja et al., 2017).”
From Designing for Motivation, Engagement and Wellbeing in Digital Experience (2018) · cites this paper as Klasnja et al., 2017
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- Authors
- Klasnja, P., Hekler, E. B., Korinek, E. V., Harlow, J., & Mishra, S. R.
- Affiliations
- Kaiser Permanente Washington Health Research Institute (US)
- Arizona State University (US)
- University of Washington (US)
- Venue
- Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2017-05-02
- Volume
- 2017
- Pages
- 3071-3082
- PMC
- PMC6161824
- OpenAlex
- W2610489713
- Cited by
- 44
- References
- 38
- Citations by year
- 2026: 3 · 2025: 3 · 2024: 6 · 2023: 2 · 2022: 6 · 2021: 3 · 2020: 6 · 2019: 3 · 2018: 10 · 2017: 1 · 2014: 1
- FWCI
- 4.13
- Type
- conference paper
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- CHI Conference on Human Factors in Computing Systems (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Heart, Lung, and Blood Institute (1-R01-HL125440-01)
- Topics
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Keywords
- health behavior change, causal effects, individual differences, assessment methods, research impact, evidence accumulation, game dynamics, design decisions, context effects
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