On the causality between affective impact and coordinated human-robot reactions
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewOpen access
Publication Information
Output type
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewOriginal language
EnglishPages from-to (Number of pages)
Pages 488-494 (8 pages)Publication milestones
- Published - 31/08/2020
Publication status
Published - 31/08/2020
Publisher
IEEE, United StatesISBN (Electronic)
978-1-7281-6075-7Publication IDs
- Scopus: 85095760386
Host publication title
2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)Abstract
In an effort to improve how robots function in social contexts, this paper investigates if a robot that actively shares a reaction to an event with a human alters how the human perceives the robot's affective impact. To verify this, we created two different test setups. One to highlight and isolate the reaction element of affective robot expressions, and one to investigate the effects of applying specific timing delays to a robot reacting to a physical encounter with a human. The first test was conducted with two different groups (n=84) of human observers, a test group and a control group both interacting with the robot. The second test was performed with 110 participants using increasingly longer reaction delays for the robot with every ten participants. The results show a statistically significant change (p<; .05) in perceived affective impact for the robots when they react to an event shared with a human observer rather than reacting at random. The result also shows for shared physical interaction, the near-human reaction times from the robot are most appropriate for the scenario. The paper concludes that a delay time around 200ms may render the biggest impact on human observers for small-sized non-humanoid robots. It further concludes that a slightly shorter reaction time around 100ms is most effective when the goal is to make the human observers feel they made the biggest impact on the robot.
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Accepted author manuscript, 2.44 MB
Related Event
Title
IEEE International Conference on Robot & Human Interactive Communication
Event type
ConferenceDegree of recognition
International eventDate
31/08/2020 - 04/09/2020Location
Virtual ConferenceNaplesItaly
