How to evaluate technologies for health behavior change in HCI research

By Predrag V. Klasnja, Sunny Consolvo, Wanda Pratt. International Conference on Human Factors in Computing Systems, 2011

475 citations recorded by the source corpus.

Subfields: Demography, General Health Professions, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/711e8dc76fd18668e4dccf82129d3bade0e3b3c8

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Citations in the corpus

The Behavioral Intervention Technology Model: An Integrated Conceptual and Technological Framework for eHealth and mHealth Interventions (2014, background): “First, they focus on clinical outcomes, which are often more distal to the behavioral targets of specific BIT interventions and are unlikely to change within the timeframe necessary to inform design considerations or to submit BITs to rapid development, evaluation, and iteration [4].”
Mind the theoretical gap: interpreting, using, and developing behavioral theory in HCI research (2013, methodology): “Moving forward Although the stated aim of most behavior change technology research is to design technology that effectively changes behavior, this is rarely robustly demonstrated in HCI research [26,43].”
Realizing the Potential of Behavioral Intervention Technologies (2013, background): “Furthermore, although randomized controlled trials are the standard by which to determine whether a BIT leads to an efficacious change in a target behavior, they fail to answer questions related to why or how that are necessary to inform early development and refinement of BITs (Klasnja et al., 2011”
Use and Adoption Challenges of Wearable Activity Trackers (2015, background): “However, the evaluation of earlier research prototypes also strictly focused on short-term effects and did not focus on users’ longterm behavioral changes (Klasnja et al., 2011).”
Persuasive technology in the real world: a study of long-term use of activity sensing devices for fitness (2014, background): “Self-monitoring is one of the most prevalent persuasive technology strategies [11], but technologies often employ multiple strategies.”
Exploring goal-setting, rewards, self-monitoring, and sharing to motivate physical activity (2012, methodology): “Klasnja et al argued that a key contribution that HCI research can make to health behavior change is a better understanding of users’ experiences with behavior change strategies that are embedded in systems [16].”