Publication:
Communicative cues for reach-to-grasp motions: From humans to robots

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.kuprofilePhD 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.yokid42946
dc.contributor.yokid258784
dc.date.accessioned2024-11-09T22:52:50Z
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 (MA), (2) overall motion duration (OT), (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 participants. 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.openaccessNO
dc.identifier.doiN/A
dc.identifier.isbn978-1-4503-5649-7
dc.identifier.uriN/A
dc.identifier.urihttps://hdl.handle.net/20.500.14288/7077
dc.identifier.wos468231300105
dc.keywordsHuman-robot interaction
dc.keywordsMotion legibility
dc.keywordsCommunicative cues
dc.languageEnglish
dc.publisherAssoc Computing Machinery
dc.sourceProceedings Of The 17th International Conference On Autonomous Agents And Multiagent Systems (Aamas' 18)
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
dc.typeConference proceeding
dspace.entity.typePublication
local.contributor.authorid0000-0001-6769-7373
local.contributor.authorid0000-0003-3077-4042
local.contributor.authorid0000-0002-2372-9158
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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