I enjoyed the chance to meet you and I will always remember you: Healthy Older Adults' Conversations with Misty the Robot

Jordan Miller, Troy McDaniel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

We conducted a 2×2 Wizard of Oz between-subject user study with sixteen healthy older adults. We investigated how to make social robots converse more naturally and reciprocally through unstructured conversation. We varied the level of interaction by changing the level of verbal and nonverbal communication the robot provided. Participants interacted with the robot for eight sessions engaging in an unstructured conversation. These conversations lasted thirty minutes to an hour. This paper will evaluate four questions from the post-interaction survey individuals completed after each session with the robot. The questions include: (i) I had fun talking to the robot; (ii) I felt I had a meaningful conversation; (iii) I was engaged the whole interaction; and (iv) I would consider the robot my friend. All participants reported they were engaged, had a meaningful conversation, and had fun during all eight sessions. Seven individuals felt the robot was their friend.

Original languageEnglish (US)
Title of host publicationHRI 2022 - Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction
PublisherIEEE Computer Society
Pages914-918
Number of pages5
ISBN (Electronic)9781538685549
DOIs
StatePublished - 2022
Event17th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2022 - Sapporo, Japan
Duration: Mar 7 2022Mar 10 2022

Publication series

NameACM/IEEE International Conference on Human-Robot Interaction
Volume2022-March
ISSN (Electronic)2167-2148

Conference

Conference17th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2022
Country/TerritoryJapan
CitySapporo
Period3/7/223/10/22

Keywords

  • User Studies
  • healthy older adults
  • human robot interaction
  • nonverbal
  • social robots
  • user centered design
  • verbal

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Electrical and Electronic Engineering

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