Publication:
Communicative cues for reach-to-grasp motions: from humans to robots: robotics track

dc.contributor.coauthorN/A
dc.contributor.departmentN/A
dc.contributor.departmentN/A
dc.contributor.departmentDepartment of Computer Engineering
dc.contributor.departmentDepartment of Computer Engineering
dc.contributor.kuauthorKebüde, Doğancan
dc.contributor.kuauthorEteke, Cem
dc.contributor.kuauthorSezgin, Tevfik Metin
dc.contributor.kuauthorAkgün, Barış
dc.contributor.kuprofileMaster Student
dc.contributor.kuprofileMaster Student
dc.contributor.kuprofileFaculty Member
dc.contributor.kuprofileFaculty Member
dc.contributor.otherDepartment of Computer Engineering
dc.contributor.schoolcollegeinstituteGraduate School of Sciences and Engineering
dc.contributor.schoolcollegeinstituteGraduate School of Sciences and Engineering
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.yokidN/A
dc.contributor.yokidN/A
dc.contributor.yokid18632
dc.contributor.yokid258784
dc.date.accessioned2024-11-09T23:13:30Z
dc.date.issued2018
dc.description.abstractIntent communication is an important challenge in the context of human-robot interaction. The aim of this work is to identify subtle non-verbal cues that make communication among humans fluent and use them to generate intent expressive robot motion. A human- human reach-to-grasp experiment (n = 14) identified two temporal and two spatial cues: (1) relative time to reach maximum hand aperture (AM), (2) overall motion duration (07), (3) exaggeration in motion (Exg), and (4) change in grasp modality (GM). Results showed there was statistically significant difference in the temporal cues between no-intention and intention conditions. In a follow-up experiment (n = 30), reach-to-grasp motions of a simulated robot containing different cue combinations were shown to the partici-pants. They were asked to guess the target object during robot's motion, based on the assumption that intent expressive motion would result in earlier and more accurate guesses. Results showed that, OT, GM and several cue combinations led to faster and more accurate guesses which imply they can be used to generate communicative motion. However, MA had no effect, and surprisingly Exg had a negative effect on expressiveness.
dc.description.indexedbyWoS
dc.description.indexedbyScopus
dc.description.openaccessYES
dc.description.publisherscopeInternational
dc.description.sponsorshipArtificial Intelligence
dc.description.sponsorshipElsevier
dc.description.sponsorshipet al.
dc.description.sponsorshipInternational Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
dc.description.sponsorshipNissan
dc.description.sponsorshipNSF
dc.description.volume2
dc.identifier.doiN/A
dc.identifier.isbn9781-5108-6808-3
dc.identifier.issn1548-8403
dc.identifier.linkhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85054672397&partnerID=40&md5=8ac7304a7cd496e7569f413179cf65ec
dc.identifier.scopus2-s2.0-85054672397
dc.identifier.uriN/A
dc.identifier.urihttps://hdl.handle.net/20.500.14288/9985
dc.keywordsCommunicative cues
dc.keywordsHuman-robot interaction
dc.keywordsMotion legibility
dc.languageEnglish
dc.publisherInternational Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
dc.sourceProceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
dc.subjectAutomation
dc.subjectControl systems
dc.subjectComputer science
dc.subjectArtificial intelligence
dc.subjectEngineering
dc.subjectElectrical and electronic engineering
dc.subjectRobotics
dc.titleCommunicative cues for reach-to-grasp motions: from humans to robots: robotics track
dc.typeConference proceeding
dspace.entity.typePublication
local.contributor.authorid0000-0001-6769-7373
local.contributor.authorid0000-0003-3077-4042
local.contributor.authorid0000-0002-1524-1646
local.contributor.authorid0000-0002-4079-6889
local.contributor.kuauthorKebüde, Doğancan
local.contributor.kuauthorEteke, Cem
local.contributor.kuauthorSezgin, Tevfik Metin
local.contributor.kuauthorAkgün, Barış
relation.isOrgUnitOfPublication89352e43-bf09-4ef4-82f6-6f9d0174ebae
relation.isOrgUnitOfPublication.latestForDiscovery89352e43-bf09-4ef4-82f6-6f9d0174ebae

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