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DC Field | Value | Language |
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dc.contributor.author | Pereira, MSO | - |
dc.coverage.spatial | Belfast, UK | - |
dc.date.accessioned | 2022-01-28T13:14:15Z | - |
dc.date.available | 2022-01-28T13:14:15Z | - |
dc.date.issued | 2021-07-01 | - |
dc.identifier.citation | Pereira, M. (2018) 'Media Skills Training Intervention Based on Automated Recognition of Human Emotion and Non-Verbal Behaviour', Proceedings of the 32nd International BCS Human Computer Interaction Conference, Belfast, UK, 4-6 July, pp. 1-18 (Electronic Workshops in Computing (eWiC); HCI 2018, 190). doi: 10.14236/ewic/HCI2018.190. [Electronic Workshops in Computing] | en_US |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/24014 | - |
dc.description.abstract | Copyright © 2018 Pereira. Across multiple sectors training programmes aim to help learners improve their communication skills. It is well recognised that non-verbal ‘social signals’ play an important role in communication effectiveness. Previous research in the social signalling domain meticulously observed hours of videos and conducted observational studies to identify these social signals. This resulted in subjective inferences about human emotions. The aim of the current research is to investigate whether social signalscan bedetected andtrained using automated technology in a person-to-person training context in three stages; exploratory stage, feedback design stage and an experimental stage. This research will allow trainers to provide objective feedback to trainees about their performance with a clear criterion.This research willalso explore the best way to feedback signals detected and whether this is effectiveand actionable. Further long-term benefits of this research might contribute to the eventual development of a training avatar.Social Signals. | en_US |
dc.description.sponsorship | UK Defence Science and Technology Laboratory (DSTL). | en_US |
dc.format.extent | 1 - 8 | - |
dc.format.medium | Electronic | - |
dc.language.iso | en | en_US |
dc.publisher | BCS Learning and Development | en_US |
dc.relation.ispartofseries | Electronic Workshops in Computing (eWiC); HCI 2018, 190 | - |
dc.rights | Copyright statement: © Pereira. Published by BCS Learning and Development Ltd.Proceedings of British HCI 2018. Belfast, UK. License: This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/ | - |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | - |
dc.source | Proceedings of the 32nd International BCS Human Computer Interaction Conference | - |
dc.source | Proceedings of the 32nd International BCS Human Computer Interaction Conference | - |
dc.subject | training | en_US |
dc.subject | automated affect technology | en_US |
dc.subject | non-verbal behaviour | en_US |
dc.title | Media Skills Training Intervention Based on Automated Recognition of Human Emotion and Non-Verbal Behaviour | en_US |
dc.type | Conference Paper | en_US |
dc.identifier.doi | https://doi.org/10.14236/ewic/hci2018.190 | - |
dc.relation.isPartOf | Electronic Workshops in Computing | - |
pubs.finish-date | 2018-07-06 | - |
pubs.publication-status | Published online | - |
pubs.start-date | 2018-07-04 | - |
dc.identifier.eissn | 1477-9358 | - |
Appears in Collections: | Dept of Computer Science Research Papers |
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