Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/74336
DC FieldValueLanguage
dc.contributorSchool of Design-
dc.creatorTan, L-
dc.creatorChow, KKN-
dc.date.accessioned2018-03-29T07:16:37Z-
dc.date.available2018-03-29T07:16:37Z-
dc.identifier.isbn9783319677439-
dc.identifier.issn0302-9743-
dc.identifier.urihttp://hdl.handle.net/10397/74336-
dc.description16th IFIP TC13 International Conference on Human–Computer Interaction, INTERACT 2017, 25 - 29 September 2017en_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.subjectAmbient mediaen_US
dc.subjectAudience experienceen_US
dc.subjectBodily movementen_US
dc.subjectEmbodied interactionen_US
dc.subjectEmbodied metaphoren_US
dc.titlePiano staircase : exploring movement-based meaning making in interacting with ambient mediaen_US
dc.typeConference Paperen_US
dc.identifier.spage282-
dc.identifier.epage291-
dc.identifier.volume10513-
dc.identifier.doi10.1007/978-3-319-67744-6_19-
dcterms.abstractWhile embodiment is widely accepted as an important theoretical basis in interaction design and HCI, few studies explore movement-based meaning making in interacting with ambient media. Building on embodied interaction, this paper aims to identify and analyze key characteristics of audience experience and the role of bodily movement in meaningful making through an empirical study. A prototype “Piano Staircase” is built for experience tests and empirical data collection. Experiments with 30 participants have been conducted. The findings show bodily interaction can activate embodied conceptual mapping and facilitate meaningful audience experience. The model of embodied meaning making provides possibilities for analyzing meaningful experience with ambient media.-
dcterms.bibliographicCitationLecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2017, v. 10513, p. 282-291-
dcterms.isPartOfLecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics)-
dcterms.issued2017-
dc.identifier.scopus2-s2.0-85030700151-
dc.relation.conferenceIFIP TC13 International Conference on Human–Computer Interaction [INTERACT]-
dc.identifier.eissn1611-3349-
dc.identifier.rosgroupid2017005934-
dc.description.ros2017-2018 > Academic research: refereed > Refereed conference paper-
dc.description.validate201802 bcrc-
Appears in Collections:Conference Paper
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

SCOPUSTM   
Citations

2
Last Week
0
Last month
Citations as of Jul 9, 2020

WEB OF SCIENCETM
Citations

2
Last Week
0
Last month
Citations as of Jul 11, 2020

Page view(s)

117
Last Week
0
Last month
Citations as of Jul 12, 2020

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.