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The Relevance of Social Cues in Assistive Training with a Social Robot
Örebro universitet, Institutionen för naturvetenskap och teknik.
Örebro universitet, Institutionen för naturvetenskap och teknik.ORCID-id: 0000-0002-0305-3728
Örebro universitet, Institutionen för naturvetenskap och teknik.ORCID-id: 0000-0002-4368-4751
Örebro universitet, Institutionen för naturvetenskap och teknik.ORCID-id: 0000-0002-3122-693X
2018 (Engelska)Ingår i: 10th International Conference on Social Robotics, ICSR 2018, Proceedings / [ed] Ge, S.S., Cabibihan, J.-J., Salichs, M.A., Broadbent, E., He, H., Wagner, A., Castro-González, Á., Springer , 2018, s. 462-471Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

This paper examines whether social cues, such as facial expressions, can be used to adapt and tailor a robot-assisted training in order to maximize performance and comfort. Specifically, this paper serves as a basis in determining whether key facial signals, including emotions and facial actions, are common among participants during a physical and cognitive training scenario. In the experiment, participants performed basic arm exercises with a social robot as a guide. We extracted facial features from video recordings of participants and applied a recursive feature elimination algorithm to select a subset of discriminating facial features. These features are correlated with the performance of the user and the level of difficulty of the exercises. The long-term aim of this work, building upon the work presented here, is to develop an algorithm that can eventually be used in robot-assisted training to allow a robot to tailor a training program based on the physical capabilities as well as the social cues of the users.

Ort, förlag, år, upplaga, sidor
Springer , 2018. s. 462-471
Serie
Lecture Notes in Computer Science, ISSN 0302-9743 ; 11357
Nyckelord [en]
Social cues, Facial signals, Robot-assisted training
Nationell ämneskategori
Datorsystem Datorseende och robotik (autonoma system)
Forskningsämne
Datavetenskap
Identifikatorer
URN: urn:nbn:se:mdh:diva-43377DOI: 10.1007/978-3-030-05204-1_45Scopus ID: 2-s2.0-85058342671ISBN: 978-3-030-05203-4 (tryckt)ISBN: 978-3-030-05204-1 (digital)OAI: oai:DiVA.org:mdh-43377DiVA, id: diva2:1314716
Konferens
10th International Conference on Social Robotics (ICSR 2018), Qingdao, China, November 28-30, 2018
Projekt
SOCRATES
Forskningsfinansiär
EU, Horisont 2020, 721619Tillgänglig från: 2018-12-19 Skapad: 2019-05-09Bibliografiskt granskad

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Akalin, NezihaKiselev, AndreyKristoffersson, AnnicaLoutfi, Amy

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Akalin, NezihaKiselev, AndreyKristoffersson, AnnicaLoutfi, Amy
DatorsystemDatorseende och robotik (autonoma system)

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Totalt: 149 träffar
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