Design Considerations for an NLP-Driven Empathy and Emotion Interface for Clinician Training via Telemedicine

Roxana Girju, Marina Girju


Abstract
As digital social platforms and mobile technologies become more prevalent and robust, the use of Artificial Intelligence (AI) in facilitating human communication will grow. This, in turn, will encourage development of intuitive, adaptive, and effective empathic AI interfaces that better address the needs of socially and culturally diverse communities. In this paper, we present several design considerations of an intelligent digital interface intended to guide the clinicians toward more empathetic communication. This approach allows various communities of practice to investigate how AI, on one side, and human communication and healthcare needs, on the other, can contribute to each other’s development.
Anthology ID:
2022.hcinlp-1.3
Volume:
Proceedings of the Second Workshop on Bridging Human--Computer Interaction and Natural Language Processing
Month:
July
Year:
2022
Address:
Seattle, Washington
Editors:
Su Lin Blodgett, Hal Daumé III, Michael Madaio, Ani Nenkova, Brendan O'Connor, Hanna Wallach, Qian Yang
Venue:
HCINLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
21–27
Language:
URL:
https://aclanthology.org/2022.hcinlp-1.3
DOI:
10.18653/v1/2022.hcinlp-1.3
Bibkey:
Cite (ACL):
Roxana Girju and Marina Girju. 2022. Design Considerations for an NLP-Driven Empathy and Emotion Interface for Clinician Training via Telemedicine. In Proceedings of the Second Workshop on Bridging Human--Computer Interaction and Natural Language Processing, pages 21–27, Seattle, Washington. Association for Computational Linguistics.
Cite (Informal):
Design Considerations for an NLP-Driven Empathy and Emotion Interface for Clinician Training via Telemedicine (Girju & Girju, HCINLP 2022)
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 https://preview.aclanthology.org/add_acl24_videos/2022.hcinlp-1.3.mp4