Gathering Information and Engaging the User ComBot: A Task-Based, Serendipitous Dialog Model for Patient-Doctor Interactions
Anna Liednikova, Philippe Jolivet, Alexandre Durand-Salmon, Claire Gardent
Abstract
We focus on dialog models in the context of clinical studies where the goal is to help gather, in addition to the close information collected based on a questionnaire, serendipitous information that is medically relevant. To promote user engagement and address this dual goal (collecting both a predefined set of data points and more informal information about the state of the patients), we introduce an ensemble model made of three bots: a task-based, a follow-up and a social bot. We introduce a generic method for developing follow-up bots. We compare different ensemble configurations and we show that the combination of the three bots (i) provides a better basis for collecting information than just the information seeking bot and (ii) collects information in a more user-friendly, more efficient manner that an ensemble model combining the information seeking and the social bot.- Anthology ID:
- 2021.nlpmc-1.3
- Volume:
- Proceedings of the Second Workshop on Natural Language Processing for Medical Conversations
- Month:
- June
- Year:
- 2021
- Address:
- Online
- Venue:
- NLPMC
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 21–29
- Language:
- URL:
- https://aclanthology.org/2021.nlpmc-1.3
- DOI:
- 10.18653/v1/2021.nlpmc-1.3
- Cite (ACL):
- Anna Liednikova, Philippe Jolivet, Alexandre Durand-Salmon, and Claire Gardent. 2021. Gathering Information and Engaging the User ComBot: A Task-Based, Serendipitous Dialog Model for Patient-Doctor Interactions. In Proceedings of the Second Workshop on Natural Language Processing for Medical Conversations, pages 21–29, Online. Association for Computational Linguistics.
- Cite (Informal):
- Gathering Information and Engaging the User ComBot: A Task-Based, Serendipitous Dialog Model for Patient-Doctor Interactions (Liednikova et al., NLPMC 2021)
- PDF:
- https://preview.aclanthology.org/auto-file-uploads/2021.nlpmc-1.3.pdf