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dc.contributor.authorIrfan, Ben
dc.date.accessioned2020-12-04T22:24:09Z
dc.date.available2020-12-04T22:24:09Z
dc.date.issued2019-04-10en
dc.identifier.urihttp://hdl.handle.net/10026.1/16710
dc.description.abstract

In the future, long-term human-robot interaction (HRI) will be integral in domestic applications, education, and rehabilitation. However, user engagement can decrease over time if the interaction is based on a fixed set of behaviours. Personalisation can improve user engagement and facilitate building rapport and trust by adapting to the user's personality, preferences or needs. This talk will touch on two approaches of personalisation in long-term HRI: user identification, and progress tracking for socially assistive robotics.

en
dc.language.isoenen
dc.titleMulti-modal Personalisation in Long-Term Human-Robot Interactionen
dc.typePresentation
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering/School of Engineering, Computing and Mathematics
dc.publisher.placeBehaviors.AI workshop, Lyon, Franceen
dc.rights.embargoperiodNot knownen
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.typeOtheren


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