Conversational Agent for Daily Living Assessment Coaching Demo

Raymond Finzel, Aditya Gaydhani, Sheena Dufresne, Maria Gini, Serguei Pakhomov

Abstract
Conversational Agent for Daily Living Assessment Coaching (CADLAC) is a multi-modal conversational agent system designed to impersonate “individuals” with various levels of ability in activities of daily living (ADLs: e.g., dressing, bathing, mobility, etc.) for use in training professional assessors how to conduct interviews to determine one’s level of functioning. The system is implemented on the MindMeld platform for conversational AI and features a Bidirectional Long Short-Term Memory topic tracker that allows the agent to navigate conversations spanning 18 different ADL domains, a dialogue manager that interfaces with a database of over 10,000 historical ADL assessments, a rule-based Natural Language Generation (NLG) module, and a pre-trained open-domain conversational sub-agent (based on GPT-2) for handling conversation turns outside of the 18 ADL domains. CADLAC is delivered via state-of-the-art web frameworks to handle multiple conversations and users simultaneously and is enabled with voice interface. The paper includes a description of the system design and evaluation of individual components followed by a brief discussion of current limitations and next steps.
Anthology ID:
2021.eacl-demos.38
Volume:
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations
Month:
April
Year:
2021
Address:
Online
Editors:
Dimitra Gkatzia, Djamé Seddah
Venue:
EACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
321–328
Language:
URL:
https://aclanthology.org/2021.eacl-demos.38
DOI:
10.18653/v1/2021.eacl-demos.38
Bibkey:
Cite (ACL):
Raymond Finzel, Aditya Gaydhani, Sheena Dufresne, Maria Gini, and Serguei Pakhomov. 2021. Conversational Agent for Daily Living Assessment Coaching Demo. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 321–328, Online. Association for Computational Linguistics.
Cite (Informal):
Conversational Agent for Daily Living Assessment Coaching Demo (Finzel et al., EACL 2021)
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PDF:
https://preview.aclanthology.org/nschneid-patch-1/2021.eacl-demos.38.pdf
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