The Library
A humanoid robot’s effortful adaptation boosts partners’ commitment to an interactive teaching task
Tools
Tools
Tools
Vignolo, Alessia, Powell, Henry, Rea, Francesco, Sciutti, Alessandra, McEllin, Luke and Michael, John (2022) A humanoid robot’s effortful adaptation boosts partners’ commitment to an interactive teaching task. ACM Transactions on Human-Robot Interaction, 11 (1). pp. 1-17. doi:10.1145/3481586 ISSN 2573-9522.
|
PDF
WRAP-Humanoid-robots-effortful-adaptation-boosts-partners-commitment-interactive-teaching-task-22.pdf - Published Version - Requires a PDF viewer. Download (6Mb) | Preview |
Official URL: https://doi.org/10.1145/3481586
Abstract
We tested the hypothesis that, if a robot apparently invests effort in teaching a new skill to a human participant, the human participant will reciprocate by investing more effort in teaching the robot a new skill, too. To this end, we devised a scenario in which the iCub and a human participant alternated in teaching each other new skills. In the Adaptive condition of the robot teaching phase , the iCub slowed down its movements when repeating a demonstration for the human learner, whereas in the Unadaptive condition it sped the movements up when repeating the demonstration. In a subsequent participant teaching phase , human participants were asked to give the iCub a demonstration, and then to repeat it if the iCub had not understood. We predicted that in the Adaptive condition , participants would reciprocate the iCub’s adaptivity by investing more effort to slow down their movements and to increase segmentation when repeating their demonstration. The results showed that this was true when participants experienced the Adaptive condition after the Unadaptive condition and not when the order was inverted, indicating that participants were particularly sensitive to the changes in the iCub’s level of commitment over the course of the experiment.
| Item Type: | Journal Article | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Subjects: | B Philosophy. Psychology. Religion > BF Psychology P Language and Literature > P Philology. Linguistics Q Science > Q Science (General) Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software T Technology > TA Engineering (General). Civil engineering (General) T Technology > TJ Mechanical engineering and machinery |
||||||||
| Divisions: | Faculty of Science, Engineering and Medicine > Science > Psychology | ||||||||
| SWORD Depositor: | Library Publications Router | ||||||||
| Library of Congress Subject Headings (LCSH): | Human-robot interaction , Artificial intelligence , Human-computer interaction , Kinematics , Robots -- Kinematics , Nonverbal communication , Movement, Psychology of , Robotics -- Human factors | ||||||||
| Journal or Publication Title: | ACM Transactions on Human-Robot Interaction | ||||||||
| Publisher: | Association for Computing Machinery (ACM) | ||||||||
| ISSN: | 2573-9522 | ||||||||
| Official Date: | 31 March 2022 | ||||||||
| Dates: |
|
||||||||
| Volume: | 11 | ||||||||
| Number: | 1 | ||||||||
| Page Range: | pp. 1-17 | ||||||||
| DOI: | 10.1145/3481586 | ||||||||
| Status: | Peer Reviewed | ||||||||
| Publication Status: | Published | ||||||||
| Reuse Statement (publisher, data, author rights): | Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the owner/author(s) | ||||||||
| Access rights to Published version: | Restricted or Subscription Access | ||||||||
| Copyright Holders: | © 2021 Copyright held by the owner/author(s) | ||||||||
| Date of first compliant deposit: | 15 November 2022 | ||||||||
| Date of first compliant Open Access: | 15 November 2022 | ||||||||
| RIOXX Funder/Project Grant: |
|
Request changes or add full text files to a record
Repository staff actions (login required)
 |
View Item |
Downloads
Downloads per month over past year
