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Remote HRI: a Methodology for Maintaining COVID-19 Physical Distancing and Human Interaction Requirements in HRI Studies

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  • Curtis L. Gittens

    (The University of the West Indies Cave Hill Campus)

Abstract

Observing how humans and robots interact is an integral part of understanding how they can effectively coexist. This ability to undertake these observations was taken for granted before the COVID-19 pandemic restricted the possibilities of performing HRI study-based interactions. We explore the problem of how HRI research can occur in a setting where physical separation is the most reliable way of preventing disease transmission. We present the results of an exploratory experiment that suggests Remote-HRI (R-HRI) studies may be a viable alternative to traditional face-to-face HRI studies. An R-HRI study minimizes or eliminates in-person interaction between the experimenter and the participant and implements a new protocol for interacting with the robot to minimize physical contact. Our results showed that participants interacting with the robot remotely experienced a higher cognitive workload, which may be due to minor cultural and technical factors. Importantly, however, we also found that whether participants interacted with the robot in-person (but socially distanced) or remotely over a network, their experience, perception of, and attitude towards the robot were unaffected.

Suggested Citation

  • Curtis L. Gittens, 2024. "Remote HRI: a Methodology for Maintaining COVID-19 Physical Distancing and Human Interaction Requirements in HRI Studies," Information Systems Frontiers, Springer, vol. 26(1), pages 91-106, February.
    • Handle: RePEc:spr:infosf:v:26:y:2024:i:1:d:10.1007_s10796-021-10162-4
    DOI: 10.1007/s10796-021-10162-4
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    Cited by:

    1. Lionel P. Robert & Marcelo Fantinato & Sangseok You & Patrick C. K. Hung, 2024. "Social Robotics Business and Computing," Information Systems Frontiers, Springer, vol. 26(1), pages 1-8, February.

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