abstract

How do Patients in a Medical Interview Perceive a Robot versus Human Physician?

Authors:

Autumn Edwards,

Leah Omilion-Hodges,

Chad EdwardsAuthors Info & Claims

HRI '17: Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction

Pages 109 - 110

https://doi.org/10.1145/3029798.3038308

Published: 06 March 2017 Publication History

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Abstract

This paper presents a study investigating perceptions of a human versus NAO robot physician conducting a simulated medical interview with undergraduate students. Results show that both human and NAO doctor were perceived to be credible and produced positive patient affect. However, the human doctor received significantly higher ratings when compared to the NAO. This pattern of results was fully explained by the higher social presence attributed to the human physician.

References

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Spence, P. R., Westerman, D., Edwards, C., & Edwards, A. (2014). Welcoming our robot overlords: Initial expectations about interaction with a robot. Communication Research Reports, 31, 272--280.

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Cited By

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Lee SPark HKim S(2024)Gender and task effects of human – machine communication on trusting a Korean intelligent virtual assistantBehaviour & Information Technology10.1080/0144929X.2024.2306136(1-20)Online publication date: 31-Jan-2024
https://doi.org/10.1080/0144929X.2024.2306136
Shanks IScott MMende Mvan Doorn JGrewal D(2024)Cobotic service teams and power dynamics: Understanding and mitigating unintended consequences of human-robot collaboration in healthcare servicesJournal of the Academy of Marketing Science10.1007/s11747-024-01004-1Online publication date: 2-Mar-2024
https://doi.org/10.1007/s11747-024-01004-1
Lee SSun J(2022)Testing a theoretical model of trust in human-machine communication: emotional experience and social presenceBehaviour & Information Technology10.1080/0144929X.2022.214599842:16(2754-2767)Online publication date: 14-Nov-2022
https://doi.org/10.1080/0144929X.2022.2145998
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Index Terms

How do Patients in a Medical Interview Perceive a Robot versus Human Physician?
1. General and reference
  1. Cross-computing tools and techniques
    1. Experimentation
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods
      1. Laboratory experiments

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Information

Published In

HRI '17: Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction

March 2017

462 pages

ISBN:9781450348850

DOI:10.1145/3029798

General Chairs:
Bilge Mutlu
University of Wisconsin-Madison, USA
,
Manfred Tscheligi
University of Salzburg, Austria
,
Program Chairs:
Astrid Weiss
Vienna University of Technology, Austria
,
James E. Young
University of Manitoba, Canada

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 March 2017

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HRI '17

Sponsor:

SIGAI
SIGCHI
IEEE-RAS

HRI '17: ACM/IEEE International Conference on Human-Robot Interaction

March 6 - 9, 2017

Vienna, Austria

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HRI '17 Paper Acceptance Rate 51 of 211 submissions, 24%;

Overall Acceptance Rate 192 of 519 submissions, 37%

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Cited By

View all

Lee SPark HKim S(2024)Gender and task effects of human – machine communication on trusting a Korean intelligent virtual assistantBehaviour & Information Technology10.1080/0144929X.2024.2306136(1-20)Online publication date: 31-Jan-2024
https://doi.org/10.1080/0144929X.2024.2306136
Shanks IScott MMende Mvan Doorn JGrewal D(2024)Cobotic service teams and power dynamics: Understanding and mitigating unintended consequences of human-robot collaboration in healthcare servicesJournal of the Academy of Marketing Science10.1007/s11747-024-01004-1Online publication date: 2-Mar-2024
https://doi.org/10.1007/s11747-024-01004-1
Lee SSun J(2022)Testing a theoretical model of trust in human-machine communication: emotional experience and social presenceBehaviour & Information Technology10.1080/0144929X.2022.214599842:16(2754-2767)Online publication date: 14-Nov-2022
https://doi.org/10.1080/0144929X.2022.2145998
Baka EMishra NSylligardos EMagnenat-Thalmann N(2022)Social Robots and Digital Humans as Job Interviewers: A Study of Human Reactions Towards a More Naturalistic InteractionHuman-Computer Interaction. Technological Innovation10.1007/978-3-031-05409-9_34(455-474)Online publication date: 26-Jun-2022
https://dl.acm.org/doi/10.1007/978-3-031-05409-9_34
Abendschein BEdwards CEdwards ARijhwani VStahl J(2021)Human-Robot Teaming Configurations: A Study of Interpersonal Communication Perceptions and Affective Learning in Higher EducationJournal of Communication Pedagogy10.31446/JCP.2021.1.124(123-132)Online publication date: 2021
https://doi.org/10.31446/JCP.2021.1.12
Banks JEdwards AWesterman D(2021)The Space Between: Nature and Machine Heuristics in Evaluations of Organisms, Cyborgs, and RobotsCyberpsychology, Behavior, and Social Networking10.1089/cyber.2020.016524:5(324-331)Online publication date: 1-May-2021
https://doi.org/10.1089/cyber.2020.0165
Craig MEdwards C(2021)Feeling for Our Robot Overlords: Perceptions of Emotionally Expressive Social Robots in Initial InteractionsCommunication Studies10.1080/10510974.2021.188045772:2(251-265)Online publication date: 20-Feb-2021
https://doi.org/10.1080/10510974.2021.1880457
Spence PEdwards CEdwards ARainear AJin X(2021)“They’re always wrong anyway”: exploring differences of credibility, attraction, and behavioral intentions in professional, amateur, and robotic-delivered weather forecastsCommunication Quarterly10.1080/01463373.2021.187716469:1(67-86)Online publication date: 3-Feb-2021
https://doi.org/10.1080/01463373.2021.1877164
Zaballa KCameron LLugo A(2021)Human-Robot Interactions Design for Interview Process: Needs-Affordances-Features PerspectiveHCI in Business, Government and Organizations10.1007/978-3-030-77750-0_43(645-655)Online publication date: 3-Jul-2021
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Hurtienne JArnold DBelpaeme TYoung JGunes HRiek L(2020)The Naked Truth?Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3371382.3378362(269-271)Online publication date: 23-Mar-2020
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Receiving Medical Treatment Plans from a Robot: Evaluations of Presence, Credibility, and Attraction

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