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Would You Trust a Robot Therapist? Validating the Equivalency of Trust in Human-Robot Healthcare Scenarios

Jin Xu,De'Aira G. Bryant,A. Howard

Published 2018 in IEEE International Symposium on Robot and Human Interactive Communication

ABSTRACT

With the recent advances in computing, artificial intelligence (AI) is quickly becoming a key component in the future of advanced applications. In one application in particular, AI has played a major role - that of revolutionizing traditional healthcare assistance. Using embodied interactive agents, or interactive robots, in healthcare scenarios has emerged as an innovative way to interact with patients. As an essential factor for interpersonal interaction, trust plays a crucial role in establishing and maintaining a patient-agent relationship. In this paper, we discuss a study related to healthcare in which we examine aspects of trust between humans and interactive robots during a therapy intervention in which the agent provides corrective feedback. A total of twenty participants were randomly assigned to receive corrective feedback from either a robotic agent or a human agent. Survey results indicate trust in a therapy intervention coupled with a robotic agent is comparable to that of trust in an intervention coupled with a human agent. Results also show a trend that the agent condition has a medium-sized effect on trust. In addition, we found that participants in the robot therapist condition are 3.5 times likely to have trust involved in their decision than the participants in the human therapist condition. These results indicate that the deployment of interactive robot agents in healthcare scenarios has the potential to maintain quality of health for future generations.

PUBLICATION RECORD

  • Publication year

    2018

  • Venue

    IEEE International Symposium on Robot and Human Interactive Communication

  • Publication date

    2018-08-01

  • Fields of study

    Medicine, Computer Science, Engineering

  • Identifiers
    DOI 10.1109/ROMAN.2018.8525782
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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