Digital doctors and robot receptionists

User attributes that predict acceptance of automation in healthcare facilities

Andrew Gambino, S. Shyam Sundar, Jinyoung Kim

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

Abstract

Advances in artificial intelligence offer the promise of accessibility, precision, and personalized care in health settings. However, growth in technology has not translated to commensurate growth in automation of healthcare facilities. To gain a better understanding of user psychology behind the acceptance of automation in clinics, a 3 (Role: Receptionist, Nurse, Doctor) x 3 (Digital Agent Representation: Human, Avatar, Robot) factorial experiment (N = 283) was conducted. Results suggest that the digital nature of the interaction overpowers any individual role effects, with acceptance depending upon individual traits (belief in machine heuristic; power usage). Implications for theory and the design of digital healthcare facilities are discussed.

Original languageEnglish (US)
Title of host publicationCHI EA 2019 - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450359719
DOIs
StatePublished - May 2 2019
Event2019 CHI Conference on Human Factors in Computing Systems, CHI EA 2019 - Glasgow, United Kingdom
Duration: May 4 2019May 9 2019

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

Conference2019 CHI Conference on Human Factors in Computing Systems, CHI EA 2019
CountryUnited Kingdom
CityGlasgow
Period5/4/195/9/19

Fingerprint

Automation
Robots
Artificial intelligence
Health
Experiments

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design
  • Software

Cite this

Gambino, A., Sundar, S. S., & Kim, J. (2019). Digital doctors and robot receptionists: User attributes that predict acceptance of automation in healthcare facilities. In CHI EA 2019 - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems [3312916] (Conference on Human Factors in Computing Systems - Proceedings). Association for Computing Machinery. https://doi.org/10.1145/3290607.3312916
Gambino, Andrew ; Sundar, S. Shyam ; Kim, Jinyoung. / Digital doctors and robot receptionists : User attributes that predict acceptance of automation in healthcare facilities. CHI EA 2019 - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, 2019. (Conference on Human Factors in Computing Systems - Proceedings).
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Gambino, A, Sundar, SS & Kim, J 2019, Digital doctors and robot receptionists: User attributes that predict acceptance of automation in healthcare facilities. in CHI EA 2019 - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems., 3312916, Conference on Human Factors in Computing Systems - Proceedings, Association for Computing Machinery, 2019 CHI Conference on Human Factors in Computing Systems, CHI EA 2019, Glasgow, United Kingdom, 5/4/19. https://doi.org/10.1145/3290607.3312916

Digital doctors and robot receptionists : User attributes that predict acceptance of automation in healthcare facilities. / Gambino, Andrew; Sundar, S. Shyam; Kim, Jinyoung.

CHI EA 2019 - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, 2019. 3312916 (Conference on Human Factors in Computing Systems - Proceedings).

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

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Gambino A, Sundar SS, Kim J. Digital doctors and robot receptionists: User attributes that predict acceptance of automation in healthcare facilities. In CHI EA 2019 - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery. 2019. 3312916. (Conference on Human Factors in Computing Systems - Proceedings). https://doi.org/10.1145/3290607.3312916