Diet coaching is a behaviour change task which requires lots of interaction with patients. E-health apps gathered lots of interest in research and, recently, chatbots have been leveraged to address this task, with a focus on persuasion to motivate people towards behaviour change. In this paper, we take a look at current approaches in building persuasive dieting chatbots and expose a number of major unsolved challenges. We motivate them with evidence from previous work and show that current chatbots don't approach certain scenarios properly, hence limiting their communication and persuasion capabilities.
CITATION STYLE
Balloccu, S., Reiter, E., Collu, M. G., Sanna, F., Sanguinetti, M., & Atzori, M. (2021). Unaddressed challenges in persuasive dieting chatbots. In UMAP 2021 - Adjunct Publication of the 29th ACM Conference on User Modeling, Adaptation and Personalization (pp. 392–395). Association for Computing Machinery, Inc. https://doi.org/10.1145/3450614.3463602
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