Conversational agents for health and wellbeing

A. Baki Kocaballi, Juan C. Quiroz, Liliana Laranjo, Dana Rezazadegan, Rafal Kocielnik, Leigh Clark, Q. Vera Liao, Sun Young Park, Robert J. Moore, Adam Miner

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

2 Citations (Scopus)

Abstract

Conversational agents have increasingly been deployed in healthcare applications. However, significant challenges remain in developing this technology. Recent research in this area has highlighted that: i) patient safety was rarely evaluated; ii) health outcomes were poorly measured, and iii) no standardised evaluation methods were employed. The conversational agents in healthcare are lagging behind the developments in other domains. This one-day workshop aims to create a roadmap for healthcare conversational agents to develop standardised design and evaluation frameworks. This will prioritise health outcomes and patient safety while ensuring a high-quality user experience. In doing so, this workshop will bring together researchers and practitioners from HCI, healthcare and related speech and chatbot domains to collaborate on these key challenges.
Original languageEnglish
Title of host publicationCHI EA '20
Subtitle of host publicationExtended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems
Place of PublicationNew York, NY
PublisherAssociation for Computing Machinery (ACM)
Pages1-8
Number of pages8
ISBN (Electronic)9781450368193
DOIs
Publication statusPublished - 25 Apr 2020
Event2020 CHI Conference on Human Factors in Computing Systems - Honolulu, United States
Duration: 25 Apr 202030 Apr 2020

Conference

Conference2020 CHI Conference on Human Factors in Computing Systems
CountryUnited States
CityHonolulu
Period25/04/2030/04/20

Keywords

  • conversational agent
  • voice interface
  • speech interface, chatbots
  • healthcare
  • health informatics

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