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dc.contributor.authorMCOWAN, PW
dc.contributor.authorMCCALLUM, L
dc.identifier.citationIEEE Transactions on Cognitive and Developmental Systems. (2017). Extending Human-Robot Relationships Based in Music with Virtual Presence - IEEE Journals & Magazine. [online] Available at: [Accessed 19 Jan. 2018].en_US
dc.description.abstractSocial relationships between humans and robots require both long term engagement and a feeling of believabilty or social presence towards the robot. It is our contention that music can provide the extended engagement that other open-ended interaction studies have failed to do, also, that in combination with the engaging musical interaction, the addition of simulated social behaviours is necessary to trigger this sense of believability or social presence. Building on previous studies with our robot drummer Mortimer that show including social behaviours can increase engagement and social presence, we present the results of a longitudinal study investigating the effect of extending weekly collocated musical improvisation sessions by making Mortimer an active member of the participant’s virtual social network. Although we found the effects of extending the relationship into the virtual world were less pronounced than results we have previously found by adding social modalties to human-robot musical interaction, interesting questions are raised about the interpretation of our automated behavioural metrics across different contexts. Further, we found repeated results of increasingly uninteruppted playing and notable differences in responses to online posts by Mortimer and posts by participant’s human friends.en_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.relation.ispartofIEEE Transactions on Cognitive and Developmental Systems
dc.titleExtending Human-Robot Relationships Based in Music with Virtual Presenceen_US
dc.rights.holder© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
pubs.organisational-group/Queen Mary University of London
pubs.organisational-group/Queen Mary University of London/Faculty of Science & Engineering
pubs.organisational-group/Queen Mary University of London/Faculty of Science & Engineering/Electronic Engineering and Computer Science - Staff

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