WristMenu with Tactons: An Eyes- and Ears-free Menu with Tactons Describing Menu Items in the Wrist Rotation Space

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dc.contributor.authorYoun, Eunhyeko
dc.contributor.authorKim, Taejunko
dc.contributor.authorLee, Geehyukko
dc.date.accessioned2024-06-13T07:00:31Z-
dc.date.available2024-06-13T07:00:31Z-
dc.date.created2022-11-11-
dc.date.issued2022-12-
dc.identifier.citationINTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION-
dc.identifier.issn1044-7318-
dc.identifier.urihttp://hdl.handle.net/10203/319759-
dc.description.abstractWe propose a new interface concept; Proprioceptive Menu with Tactons, an eyes- and ears-free menu in a proprioceptive space that uses a set of Tactons to describe its menu items. While previous proprioceptive menus utilized vibrotactile feedback only to express the boundary between menu items, we spot an unexplored possibility that distinct vibrotactile stimuli, Tactons, can be used to describe the status of each menu item. As an instance of this concept, we present WristMenu with Tactons, an eyes- and ears-free menu using a one-dimensional proprioceptive space of the axial wrist rotation. Users can grasp an overview of each menu item's status through Tactons delivered on their wrist skin and eventually decide to select the desired item. Our evaluation study showed that users could find a target item among five candidates and recognize its status in 5 seconds on average at the accuracies of 93% and 86% in seated and walking conditions, respectively. Through our evaluation, we could confirm the feasibility of the proposed concept.-
dc.languageEnglish-
dc.publisherTAYLOR & FRANCIS INC-
dc.titleWristMenu with Tactons: An Eyes- and Ears-free Menu with Tactons Describing Menu Items in the Wrist Rotation Space-
dc.typeArticle-
dc.identifier.wosid000905304900001-
dc.identifier.scopusid2-s2.0-85145362217-
dc.type.rimsART-
dc.citation.publicationnameINTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION-
dc.identifier.doi10.1080/10447318.2022.2159780-
dc.contributor.localauthorLee, Geehyuk-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle; Early Access-
dc.subject.keywordPlusDESIGN-
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