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User Validation Study of a Social Robot for Use in Hospital Wards

Published: 08 March 2021 Publication History

Editorial Notes

The authors have requested minor, non-substantive changes to the VoR and, in accordance with ACM policies, a Corrected VoR was published on September 14, 2021. For reference purposes the VoR may still be accessed via the Supplemental Material section on this page.

Abstract

For robots to play an increased role in healthcare settings, the understanding on nurse-patient human-centric interactions in their unique scenario-based setting is crucial for Human-Robot Interaction (HRI) design. We aim to investigate HRI design for a robot to perform nursing tasks in hospitals. The robot's personality is designed with animated eyes, voice with local accent and contextual phrases with politeness to mimic nurse's behavior as they engage with patients. The study was designed with scenario-based use cases focusing on user-centric and task-centric HRI components.
This paper reports on findings based on 2 online surveys conducted and performed by 60 participating nurses from a local Hospital. In the first survey, the tasks performed by the robot include greeting, patient identification, pain level check, and performing vital signs measurement. This is to identify the correlation of politeness, friendliness and strictness exhibited by the robot, and the effects on the user's perception on trustworthiness and their willingness to follow the robot's instructions for a given task. In the second survey, a comparison is made between an item delivery task performed by a nurse and the same task performed by a robot, to assess the user receptivity and the usability of the robot to assist in the task with its ability to communicate its service intent.
The results imply that in the current design, if the robot communicates with the user with politeness and friendliness, it will increase the perceived trustworthiness of the user. When the robot exhibited strictness to get the patient to comply, a decrease in the user-perceived friendliness, politeness, and robot trustworthiness was also revealed in the findings. Finally, participants indicated high receptivity in interacting with the robot and the feasibility of a robot-assisted nurse workflow. These results support the progression to further development towards user validation studies in an actual hospital ward setting.

Supplementary Material

3447162-vor (3447162-vor.pdf)
Version of Record for "User Validation Study of a Social Robot for Use in Hospital Wards" by Ramachandran et al., Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction (HRI '21 Companion).

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Cited By

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  • (2024)Excuse Me, May I Disturb You? The Influence of Politeness of a Social Robot on the Perception of Interruptions2024 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN)10.1109/RO-MAN60168.2024.10731362(2240-2247)Online publication date: 26-Aug-2024
  • (2024)“No, I Won't Do That.” Assertive Behavior of Robots and its Perception by ChildrenInternational Journal of Social Robotics10.1007/s12369-024-01139-916:7(1489-1507)Online publication date: 8-May-2024
  • (2024)An Assessment of an Inpatient Robotic Nurse Assistant: A Mixed-Method StudyJournal of Medical Systems10.1007/s10916-024-02117-448:1Online publication date: 22-Oct-2024
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cover image ACM Conferences
HRI '21 Companion: Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction
March 2021
756 pages
ISBN:9781450382908
DOI:10.1145/3434074
  • General Chairs:
  • Cindy Bethel,
  • Ana Paiva,
  • Program Chairs:
  • Elizabeth Broadbent,
  • David Feil-Seifer,
  • Daniel Szafir
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Published: 08 March 2021

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Author Tags

  1. communication intent
  2. healthcare operational workflow
  3. healthcare robots
  4. hospital
  5. human-robot interaction
  6. politeness
  7. robot personality
  8. trust

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Overall Acceptance Rate 192 of 519 submissions, 37%

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Cited By

View all
  • (2024)Excuse Me, May I Disturb You? The Influence of Politeness of a Social Robot on the Perception of Interruptions2024 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN)10.1109/RO-MAN60168.2024.10731362(2240-2247)Online publication date: 26-Aug-2024
  • (2024)“No, I Won't Do That.” Assertive Behavior of Robots and its Perception by ChildrenInternational Journal of Social Robotics10.1007/s12369-024-01139-916:7(1489-1507)Online publication date: 8-May-2024
  • (2024)An Assessment of an Inpatient Robotic Nurse Assistant: A Mixed-Method StudyJournal of Medical Systems10.1007/s10916-024-02117-448:1Online publication date: 22-Oct-2024
  • (2023)The role of politeness in human–machine interactions: a systematic literature review and future perspectivesArtificial Intelligence Review10.1007/s10462-023-10540-156:S1(445-482)Online publication date: 27-Jun-2023
  • (2022)Application of 5G network combined with AI robots in personalized nursing in China: A literature reviewFrontiers in Public Health10.3389/fpubh.2022.94830310Online publication date: 24-Aug-2022
  • (2022)Few-shot re-identification of the speaker by social robotsAutonomous Robots10.1007/s10514-022-10073-647:2(181-192)Online publication date: 7-Nov-2022
  • (2021)Robust Person Following Under Severe Indoor Illumination Changes for Mobile Robots: Online Color-Based Identification Update2021 21st International Conference on Control, Automation and Systems (ICCAS)10.23919/ICCAS52745.2021.9649857(1000-1005)Online publication date: 12-Oct-2021

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