Cooperative gestures: Effective signaling for humanoid robots

Laurel D. Riek, Tal Chen Rabinowitch, Paul Bremner, Anthony G. Pipe, Mike Fraser, Peter Robinson

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

62 Citations (Scopus)

Abstract

Cooperative gestures are a key aspect of human-human pro-social interaction. Thus, it is reasonable to expect that endowing humanoid robots with the ability to use such gestures when interacting with humans would be useful. However, while people are used to responding to such gestures expressed by other humans, it is unclear how they might react to a robot making them. To explore this topic, we conducted a within-subjects, video based laboratory experiment, measuring time to cooperate with a humanoid robot making interactional gestures. We manipulated the gesture type (beckon, give, shake hands), the gesture style (smooth, abrupt), and the gesture orientation (front, side). We also employed two measures of individual differences: negative attitudes toward robots (NARS) and human gesture decoding ability (DANVA2-POS). Our results show that people cooperate with abrupt gestures more quickly than smooth ones and front-oriented gestures more quickly than those made to the side, people's speed at decoding robot gestures is correlated with their ability to decode human gestures, and negative attitudes toward robots is strongly correlated with a decreased ability in decoding human gestures.

Original languageEnglish
Title of host publication5th ACM/IEEE International Conference on Human-Robot Interaction, HRI 2010
Pages61-68
Number of pages8
DOIs
Publication statusPublished - 3 May 2010
Event5th ACM/IEEE International Conference on Human-Robot Interaction, HRI 2010 - Osaka, Japan
Duration: 2 Mar 20105 Mar 2010

Publication series

Name5th ACM/IEEE International Conference on Human-Robot Interaction, HRI 2010

Conference

Conference5th ACM/IEEE International Conference on Human-Robot Interaction, HRI 2010
CountryJapan
CityOsaka
Period2/03/105/03/10

Keywords

  • Affective robotics
  • Cooperation
  • Gestures
  • Human-robot interaction

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction

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