A Dual-Process Cognitive Architecture for Tailored Behavior Change Interventions
This paper presents a cognitive-social robotic system for delivering personalized Behavior Change Interventions. Using the Transtheoretical Model and URICA questionnaire, the system assesses users' readiness for change and ranks Behavior Change Techniques based on behavioral qualities. In a preliminary study, the system recommended stage-specific BCIs, demonstrating its potential to tailor interventions effectively.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2024-10-25
- DOI
- https://doi.org/10.5281/zenodo.14731111
- Primary Topic
- Balance, Gait, and Falls Prevention
- Type
- article
- Field-Weighted Citation Impact
- 0.00