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Influencing Human Performance: Investigating the Effect of Non-humanoid Robot Feedback on Task Performance

  • Mohammed Shabaj Ahmed
  • , Manuel Giuliani
  • , Paul Bremner

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

2 Citations (Scopus)

Abstract

This paper reports the findings of an online between subject study that investigated the effectiveness of a non-humanoid socially assistive robot in providing positive reinforcement feedback to aid in improving performance on a cognitively demanding task. Four different feedback conditions were used, including verbal, expressive, neutral, and text-based feedback, to identify which type of feedback could positively influence behaviour. Results showed no significant differences in task performance, perceived workload or robot perception.
Original languageEnglish
Title of host publicationHRI 2024 Companion - Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction
PublisherAssociation for Computing Machinery
Pages182-186
Number of pages5
ISBN (Electronic)979-8-4007-0323-2
ISBN (Print)979-8-4007-0323-2
DOIs
Publication statusPublished - 11 Mar 2024
EventHRI '24: ACM/IEEE International Conference on Human-Robot Interaction - Campus Maps and University Memorial Center, Boulder, United States
Duration: 11 Mar 202415 Mar 2024
https://humanrobotinteraction.org/2024/

Publication series

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

Conference

ConferenceHRI '24
Country/TerritoryUnited States
CityBoulder
Period11/03/2415/03/24
Internet address

Bibliographical note

Publisher Copyright:
© 2024 Copyright held by the owner/author(s)

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