Here comes the bad news: Doctor robot taking over

Johan F. Hoorn*, Sonja D. Winter

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

To test in how far the Media Equation and Computers Are Social Actors (CASA) validly explain user responses to social robots, we manipulated how a bad health message was framed and the language that was used. In the wake of Experiment 2 of Burgers et al. (Patient Educ Couns 89(2):267–273, 2012. https://doi.org/10.1016/j.pec.2012.08.008), a human versus robot doctor delivered health messages framed positively or negatively, using affirmations or negations. In using frequentist (robots are different from humans) and Bayesian (robots are the same) analyses, we found that participants liked the robot doctor and the robot’s message better than the human’s. The robot also compelled more compliance to the medical treatment. For the level of expected quality of life, the human and robot doctor tied. The robot was not seen as affectively distant but rather involving, ethical, skilled, and people wanted to consult her again. Note that doctor robot was not a seriously looking physician but a little girl with the voice of a young woman. We conclude that both Media Equation and CASA need to be altered when it comes to robot communication. We argue that if certain negative qualities are filtered out (e.g., strong emotion expression), credibility will increase, which lowers affective distance to the messenger. Robots sometimes outperform humans on emotional tasks, which may relieve physicians from a most demanding duty of disclosing unfavorable information to a patient.

Original languageEnglish
Pages (from-to)519-535
Number of pages17
JournalInternational Journal of Social Robotics
Volume10
Issue number4
Early online date13 Dec 2017
DOIs
Publication statusPublished - Sept 2018

Funding

Acknowledgements This study is part of the Services of Electromechanical Care Agencies (SELEMCA) project and was supported by a grant from the Dutch Ministry of Education, Culture, and Science (Grant Number NWO 646.000.003). Many thanks go to Christian Burgers for making available the data on the human doctor and for his comments and advices. Marcel Nihot is kindly thanked for data collection in the robot experiment. We acknowledge with much appreciation Elly A. Konijn who reviewed an earlier draft of this paper. We gratefully acknowledge the comments and suggestions of the anonymous reviewers for the profound improvement of this paper.

FundersFunder number
Dutch Ministry of Education, Culture, and Science
Nederlandse Organisatie voor Wetenschappelijk Onderzoek646.000.003

    Keywords

    • CASA
    • Communication
    • Framing
    • Healthcare
    • Language
    • Media Equation

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