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In the Wild HRI Scenario: Influence of Regulatory Focus Theory
- Source :
- Frontiers in Robotics and AI, Frontiers in Robotics and AI, Frontiers Media S.A., 2020, 7, ⟨10.3389/frobt.2020.00058⟩, Frontiers in Robotics and AI, Vol 7 (2020)
- Publication Year :
- 2019
-
Abstract
- Research related to regulatory focus theory has shown that the way in which a message is conveyed can increase the effectiveness of the message. While different research fields have used this theory, in human-robot interaction (HRI), no real attention has been given to this theory. In this paper, we investigate it in an in the wild scenario. More specifically, we are interested in how individuals react when a robot suddenly appears at their office doors. Will they interact with it or will they ignore it? We report the results from our experimental study in which the robot approaches 42 individuals. Twenty-nine of them interacted with the robot, while the others either ignored it or avoided any interaction with it. The robot displayed two types of behavior (i.e., promotion or prevention). Our results show that individuals that interacted with a robot that matched their regulatory focus type interacted with it significantly longer than individuals that did not experience regulatory fit. Other qualitative results are also reported, together with some reactions from the participants.
- Subjects :
- media_common.quotation_subject
lcsh:Mechanical engineering and machinery
050109 social psychology
050105 experimental psychology
lcsh:QA75.5-76.95
in the wild
Promotion (rank)
regulatory focus
Artificial Intelligence
Human–computer interaction
social robotics
[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]
0501 psychology and cognitive sciences
lcsh:TJ1-1570
ComputingMilieux_MISCELLANEOUS
media_common
Original Research
Robotics and AI
Social robot
05 social sciences
Regulatory focus theory
Computer Science Applications
HRI
Robot
lcsh:Electronic computers. Computer science
Psychology
acceptance
Subjects
Details
- ISSN :
- 22969144
- Volume :
- 7
- Database :
- OpenAIRE
- Journal :
- Frontiers in robotics and AI
- Accession number :
- edsair.doi.dedup.....8e0cfc3220aa5b72ebfb32304735a7c5
- Full Text :
- https://doi.org/10.3389/frobt.2020.00058⟩