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http://hdl.handle.net/1942/47647| Title: | A Goal-based approach for Persuasive Health-Behaviour Recommender Systems | Authors: | HABETS, Wald CONINX, Karin |
Editors: | Zangerle, Eva Said, Alan Bauer, Christine |
Issue Date: | 2025 | Publisher: | CEUR | Series/Report: | BEYOND Workshop at RecSys 2025 | Abstract: | To enhance user acceptance and facilitate behaviour change, this paper introduces a goal-based approach for persuasive health-behaviour recommender systems (HRS). Current HRS often fall short in supporting change, particularly in domains like nutrition and physical activity, due to their failure to integrate theories or use of ineffective recommendation strategies. To address these challenges, we propose conceptual design model that aligns recommendations with patients’ current behaviour, short-term goals, and term health goals. The design model is grounded in established behaviour change theories, including the efficacy theory, health behaviour goal model, health belief model, self-determination theory, goal-setting and feedback-intervention theory. Nine propositions are derived from these theories to guide the design more persuasive HRS. The proposed approach emphasizes the importance of incremental, achievable goals, autonomy, and intrinsic motivation to foster sustained behaviour change. Future work will focus on validating and refining the design model to provide a robust framework for developing effective health-behaviour systems. | Keywords: | Health recommender systems;Persuasive technology;Behaviour change;mHealth | Document URI: | http://hdl.handle.net/1942/47647 | Link to publication/dataset: | https://ceur-ws.org/Vol-4063/paper4.pdf | ISSN: | 1613-0073 | Rights: | 2025 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). | Category: | R1 | Type: | Working Paper |
| Appears in Collections: | Research publications |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| recsys2025-workshop-wald-habets-camera-ready.pdf | Conference material | 208.2 kB | Adobe PDF | View/Open |
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