Physiological Data-Based Evaluation of a Social Robot Navigation System

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dc.authoridKivrak, Hasan/0000-0002-3782-309X
dc.authoridKose, Hatice/0000-0003-4796-4766
dc.authoridCakmak, Furkan/0000-0001-5232-7919
dc.authoridYAVUZ, SIRMA/0000-0001-8029-6689
dc.authoridErol Barkana, Duygun/0000-0002-8929-0459
dc.contributor.authorKivrak, Hasan
dc.contributor.authorUluer, Pinar
dc.contributor.authorKose, Hatice
dc.contributor.authorGumuslu, Elif
dc.contributor.authorBarkana, Duygun Erol
dc.contributor.authorCakmak, Furkan
dc.contributor.authorYavuz, Sirma
dc.date.accessioned2024-09-29T16:12:18Z
dc.date.available2024-09-29T16:12:18Z
dc.date.issued2020
dc.departmentKarabük Üniversitesien_US
dc.description29th IEEE International Conference on Robot and Human Interactive Communication (IEEE RO-MAN) -- AUG 31-SEP 04, 2020 -- ELECTR NETWORKen_US
dc.description.abstractThe aim of this work is to create a social navigation system for an affective robot that acts as an assistant in the audiology department of hospitals for children with hearing impairments. Compared to traditional navigation systems, this system differentiates between objects and human beings and optimizes several parameters to keep at a social distance during motion when faced with humans not to interfere with their personal zones. For this purpose, social robot motion planning algorithms are employed to generate human-friendly paths that maintain humans' safety and comfort during the robot's navigation. This paper evaluates this system compared to traditional navigation, based on the surveys and physiological data of the adult participants in a preliminary study before using the system with children. Although the self-report questionnaires do not show any significant difference between navigation profiles of the robot, analysis of the physiological data may be interpreted that, the participants felt comfortable and less threatened in social navigation case.en_US
dc.description.sponsorshipIEEE,IEEE Robot & Automat Soc,Robot Soc Japan,Korean Robot Soc,Furhat Robot,EurAi,Assoc Italiana Lingusitica Computazionale,Assoc Italiana Scienze Voce,Springer,Roboticsen_US
dc.description.sponsorshipScientific and Technological Research Council of Turkey (TUBITAK) [118E214]en_US
dc.description.sponsorshipThis work is supported by The Scientific and Technological Research Council of Turkey (TUBITAK) under the Grant number 118E214en_US
dc.identifier.endpage999en_US
dc.identifier.isbn978-1-7281-6075-7
dc.identifier.issn1944-9445
dc.identifier.startpage994en_US
dc.identifier.urihttps://hdl.handle.net/20.500.14619/8672
dc.identifier.wosWOS:000598571700144en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherIeeeen_US
dc.relation.ispartof2020 29th Ieee International Conference On Robot and Human Interactive Communication (Ro-Man)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectsocial navigationen_US
dc.subjectpersonal zoneen_US
dc.subjectHRIen_US
dc.subjectemotion recognitionen_US
dc.subjectdeeplearningen_US
dc.subjectphysiological dataen_US
dc.titlePhysiological Data-Based Evaluation of a Social Robot Navigation Systemen_US
dc.typeConference Objecten_US

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