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Towards Motivating Machines: Computational Modeling of the Mechanism of Actions for Effective Digital Health Behavior Change Applications
Taj, F., 10 May 2023, Amsterdam: s.n.. 215 p.Research output: PhD Thesis › Phd-Thesis - Research and graduation internal
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SmartCHANGE: AI-based long-term health risk evaluation for driving behaviour change strategies in children and youth
Rescic, N., Alberts, J., Altenburg, T. M., Chinapaw, M. J. M., de Nigro, A., Fenoglio, D., Gjoreski, M., Gradisek, A., Jurak, G., Kiourtis, A., Kyriazis, D., Langheinrich, M., Mancuso, E., Mavrogiorgou, A., Pechenizkiy, M., Pratola, R., Ribeiro, J., Soric, M., Taj, F., Tammelin, T. H., & 4 others, 2023, Proceedings - 2023 International Conference on Applied Mathematics and Computer Science, ICAMCS 2023. Institute of Electrical and Electronics Engineers Inc., p. 81-89 9 p. (Proceedings - 2023 International Conference on Applied Mathematics and Computer Science, ICAMCS 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
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Motivating Machines: The Potential of Modeling Motivation as MoA for Behavior Change Systems
Taj, F., Klein, M. C. A. & Van Halteren, A., May 2022, In: Information (Switzerland). 13, 5, p. 1-14 14 p., 258.Research output: Contribution to journal › Article › Academic › peer-review
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