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The Effect of Gesture-Command Pairing Condition on Learnability when Interacting with TV

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dc.contributor.author조춘익-
dc.contributor.author임지현-
dc.contributor.author박준-
dc.date.accessioned2021-12-02T05:44:23Z-
dc.date.available2021-12-02T05:44:23Z-
dc.date.created2021-11-29-
dc.date.issued2012-
dc.identifier.issn1229-1684-
dc.identifier.urihttps://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/19422-
dc.description.abstractObjective: The aim of this study is to investigate learnability of gestures-commands pair when people use gestures to control a device. Background: In vision-based gesture recognition system, selecting gesture-command pairing is critical for its usability in learning. Subjective preference and its agreement score, used in previous study(Lim et al., 2012) was used to group four gesture-command pairings. To quantify the learnability, two learning models, average time model and marginal time model, were used. Method: Two sets of eight gestures, total sixteen gestures were listed by agreement score and preference data. Fourteen participants divided into two groups, memorized each set of gesture-command pair and performed gesture. For a given command, time to recall the paired gesture was collected. Results: The average recall time for initial trials were differed by preference and agreement score as well as the learning rate R driven by the two learning models. Conclusion: Preference rate agreement score showed influence on learning of gesture-command pairs. Application: This study could be applied to any device considered to adopt gesture interaction system for device control.-
dc.language한국어-
dc.language.isoko-
dc.publisher대한인간공학회-
dc.titleThe Effect of Gesture-Command Pairing Condition on Learnability when Interacting with TV-
dc.title.alternativeThe Effect of Gesture-Command Pairing Condition on Learnability when Interacting with TV-
dc.typeArticle-
dc.contributor.affiliatedAuthor임지현-
dc.contributor.affiliatedAuthor박준-
dc.identifier.bibliographicCitation대한인간공학회지, v.31, no.4, pp.525 - 531-
dc.relation.isPartOf대한인간공학회지-
dc.citation.title대한인간공학회지-
dc.citation.volume31-
dc.citation.number4-
dc.citation.startPage525-
dc.citation.endPage531-
dc.type.rimsART-
dc.identifier.kciidART001693537-
dc.description.journalClass2-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthorVision-based gesture interaction-
dc.subject.keywordAuthorOne-hand gesture-
dc.subject.keywordAuthorLearning curve-
dc.subject.keywordAuthorAgreement score-
dc.subject.keywordAuthorSubjective preference-
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College of Engineering > Computer Engineering > Journal Articles
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