dc.contributor.author | Canamero, Lola | |
dc.date.accessioned | 2019-07-31T16:32:28Z | |
dc.date.available | 2019-07-31T16:32:28Z | |
dc.date.issued | 2019-04-26 | |
dc.identifier.citation | Canamero , L 2019 , ' Embodied Robot Models for Interdisciplinary Emotion Research ' , IEEE Transactions on Affective Computing . https://doi.org/10.1109/TAFFC.2019.2908162 | |
dc.identifier.issn | 2371-9850 | |
dc.identifier.uri | http://hdl.handle.net/2299/21511 | |
dc.description.abstract | Due to their complex nature, emotions cannot be properly understood from the perspective of a single discipline. In this paper, I discuss how the use of robots as models is beneficial for interdisciplinary emotion research. Addressing this issue through the lens of my own research, I focus on a critical analysis of embodied robots models of different aspects of emotion, relate them to theories in psychology and neuroscience, and provide representative examples. I discuss concrete ways in which embodied robot models can be used to carry out interdisciplinary emotion research, assessing their contributions: as hypothetical models, and as operational models of specific emotional phenomena, of general emotion principles, and of specific emotion ``dimensions''. I conclude by discussing the advantages of using embodied robot models over other models. | en |
dc.format.extent | 12 | |
dc.format.extent | 578470 | |
dc.language.iso | eng | |
dc.relation.ispartof | IEEE Transactions on Affective Computing | |
dc.subject | robot models of emotions | |
dc.subject | affective cognition | |
dc.subject | affective interaction | |
dc.subject | autonomous robots | |
dc.subject | embodied artificial intelligence | |
dc.subject | human-robot interaction | |
dc.subject | Artificial Intelligence | |
dc.title | Embodied Robot Models for Interdisciplinary Emotion Research | en |
dc.contributor.institution | Centre for Computer Science and Informatics Research | |
dc.contributor.institution | Adaptive Systems | |
dc.contributor.institution | School of Computer Science | |
dc.description.status | Peer reviewed | |
rioxxterms.versionofrecord | 10.1109/TAFFC.2019.2908162 | |
rioxxterms.type | Journal Article/Review | |
herts.preservation.rarelyaccessed | true | |