Show simple item record

dc.contributor.authorDi Nuovo, A
dc.contributor.authorWang, N
dc.contributor.authorBroz, F
dc.contributor.authorBelpaeme, Tony
dc.contributor.authorJones, Ray
dc.contributor.authorCangelosi, Angelo
dc.date.accessioned2017-02-17T12:33:40Z
dc.date.available2017-02-17T12:33:40Z
dc.date.issued2016
dc.identifier.isbn9783319403786
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.urihttp://hdl.handle.net/10026.1/8523
dc.description.abstract

This paper reports the experimental evaluation of a Multi- Modal User Interface (MMUI) designed to enhance the user experience in terms of service usability and to increase acceptability of assistive robot systems by elderly users. The MMUI system offers users two main modalities to send commands: they are a GUI, usually running on the tablet attached to the robot, and a SUI, with a wearable microphone on the user. The study involved fifteen participants, aged between 70 and 89 years old, who were invited to interact with a robotic platform customized for providing every-day care and services to the elderly. The experimental task for the participants was to order a meal from three different menus using any interaction modality they liked. Quantitative and qualitative data analyses demonstrate a positive evaluation by users and show that the multi-modal means of interaction can help to make elderly-robot interaction more flexible and natural.

dc.format.extent87-98
dc.language.isoen
dc.publisherSpringer International Publishing
dc.subjectHuman-robot interaction and interfaces
dc.subjectService robotics
dc.subjectSocially Assistive Robotics
dc.titleExperimental Evaluation of a Multi-modal User Interface for a Robotic Service
dc.typeconference
dc.typeConference Proceeding
plymouth.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000386324700009&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008
plymouth.volume9716
plymouth.publication-statusPublished
plymouth.journalTOWARDS AUTONOMOUS ROBOTIC SYSTEMS, TAROS 2016
dc.identifier.doi10.1007/978-3-319-40379-3_9
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Health
plymouth.organisational-group/Plymouth/Faculty of Health/School of Nursing and Midwifery
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA03 Allied Health Professions, Dentistry, Nursing and Pharmacy
plymouth.organisational-group/Plymouth/Research Groups
plymouth.organisational-group/Plymouth/Research Groups/Institute of Health and Community
plymouth.organisational-group/Plymouth/Research Groups/Marine Institute
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
dc.identifier.eissn1611-3349
dc.rights.embargoperiodNot known
rioxxterms.versionofrecord10.1007/978-3-319-40379-3_9
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.typeConference Paper/Proceeding/Abstract
plymouth.oa-locationhttp://shura.shu.ac.uk/13375/1/di%20nuovo_taros16%20accepted.pdf


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record


All items in PEARL are protected by copyright law.
Author manuscripts deposited to comply with open access mandates are made available in accordance with publisher policies. Please cite only the published version using the details provided on the item record or document. In the absence of an open licence (e.g. Creative Commons), permissions for further reuse of content should be sought from the publisher or author.
Theme by 
Atmire NV