Posture Affects How Robots and Infants Map Words to Objects
- Submitting institution
-
University of Plymouth
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 904
- Type
- D - Journal article
- DOI
-
10.1371/journal.pone.0116012
- Title of journal
- PLoS One
- Article number
- e0116012
- First page
- -
- Volume
- 10
- Issue
- 3
- ISSN
- 1932-6203
- Open access status
- Out of scope for open access requirements
- Month of publication
- March
- Year of publication
- 2015
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
4
- Research group(s)
-
-
- Citation count
- 29
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This interdisciplinary work describes combined robot and infant studies on object-name learning under the impact of posture. It is important for both, robotics and psychology, because it presents a cognitive computational model for word-learning, that can be embodied in a robot, but also used to explain and predict infant data. The work led to invited papers in "Cognitive Science" and "Child Development Perspective", and five invitations for keynote presentations at international conferences. It featured in online community news (e.g. Psychology Today, 2015) and initiated several interdisciplinary collaborations with child psychologists: Indiana University (Smith), Manchester (Twomey), and University Milan (Marchetti).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -