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

Roxana Girju, Marina Girju

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationProceedings of the Second Workshop on Bridging Human–Computer Interaction and Natural Language Processing
EditorsSu Lin Blodgett, Hal Daumé III, Michael Madaio, Ani Nenkova, Brendan O'Connor, Hanna Wallach, Qian Yang
Place of PublicationSeattle
PublisherAssociation for Computational Linguistics
Pages21-27
Number of pages7
ISBN (Electronic)9781955917902
DOIs
StatePublished - Jul 15 2022

Keywords

  • empathy, NLP, design, HCI, emotion, interface, AI, telemedicine

ASJC Scopus subject areas

  • Information Systems
  • Human-Computer Interaction
  • Computer Science Applications
  • Computational Theory and Mathematics

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