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.
|Title of host publication||UMAP '21|
|Subtitle of host publication||Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization|
|Publisher||Association for Computing Machinery (ACM)|
|Number of pages||4|
|Publication status||Published - 21 Jun 2021|
|Event||29th Conference on User Modeling, Adaptation and Personalization: UMAP '21 - Online from Utrecht, Utrecht, Netherlands|
Duration: 21 Jun 2021 → 25 Jun 2021
Conference number: 29th
|Conference||29th Conference on User Modeling, Adaptation and Personalization|
|Abbreviated title||UMAP '21|
|Period||21/06/21 → 25/06/21|
This research was funded by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska Curie grant agreement No 812882.
- conversational agents
- diet coaching
- natural language generation