Exploratory design of non-verbal politeness of a robotic arm

Shikhar Kumar, Ela Liberman-Pincu, Nofar Dvir, Yael Edan, Tal Oron-Gilad

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Social norms should be considered when designing the behavior of social robots. Politeness is a common social norm in human-human interactions, which can influence human-robot interaction. We present an exploratory, experimental design for non-verbal aspects of politeness of a robotic manipulator. Polite behaviors were defined using a combination of lights on the robot's body and movements of the robotic arm, forming four levels of politeness: visual-actionable polite, visual polite, actionable polite, and no-polite. In a between-subject user study with 40 children (aged 8-10), the child and the robot conducted a joint pick-and-place memory task with increasing difficulty. Results revealed that task performance improved with the experimental progress, and the willingness of the children to continue with another task was high. Yet, polite behaviors did not improve performance. Implications for future research are discussed.

Original languageEnglish
Title of host publication2024 IEEE 4th International Conference on Human-Machine Systems, ICHMS 2024
EditorsMing Hou, Tiago H. Falk, Arash Mohammadi, Antonio Guerrieri, David Kaber
PublisherInstitute of Electrical and Electronics Engineers
ISBN (Electronic)9798350315790
DOIs
StatePublished - 1 Jan 2024
Event4th IEEE International Conference on Human-Machine Systems, ICHMS 2024 - Hybrid, Toronto, Canada
Duration: 15 May 202417 May 2024

Publication series

Name2024 IEEE 4th International Conference on Human-Machine Systems, ICHMS 2024

Conference

Conference4th IEEE International Conference on Human-Machine Systems, ICHMS 2024
Country/TerritoryCanada
CityHybrid, Toronto
Period15/05/2417/05/24

Keywords

  • Politeness
  • light indicators
  • non-verbal communication
  • robot movements

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Control and Optimization

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