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AuthorAl-Sada, Mohammed
AuthorIshizawa, Fumiko
AuthorTsurukawa, Junichi
AuthorNakajima, Tatsuo
Available date2021-03-25T11:33:35Z
Publication Date2016
Publication NameACM International Conference Proceeding Series
ResourceScopus
URIhttp://dx.doi.org/10.1145/3012709.3012719
URIhttp://hdl.handle.net/10576/18005
AbstractInput Forager is a user-driven adaptation approach that enables users to flexibly borrow different embedded inputs from smartwatches, smartphones and tablets, then map borrowed inputs to interaction-events that effect Head Worn Display's (HWD) contents. Our approach allows users to form a diverse set of interaction paradigms that involve different device combinations, input types and interactionevent mappings that supplement the limitations of HWD's interaction methods. Such adaptation flexibility allows users to form interaction patterns that correspond to various HWDs' usage contexts. Accordingly, we developed a prototype that comprised an adaptation-client that ran on a smartwatch, a smartphone and a tablet, then carried a user study to evaluate Input Forager within a scenario that resembled HWDs usage contexts. Results indicated that our approach enabled users to reflect both common and distinct input and interaction-mapping preferences. Moreover, qualitative analysis revealed an overall positive usability results, while shortcomings were mainly in the adaptationclients' user interfaces. Finally, we presented the future direction of our project.
SponsorThe presented work was supported in part through Program for Leading Graduate Schools, Graduate Program for Embodiment Informatics by the Ministry of Education, Culture, Sports, Science and Technology.
Languageen
PublisherAssociation for Computing Machinery
SubjectAugmented reality
Mapping
Smartphones
Wearable computers
Adaptation
Adaptive
Borrowing
Interaction methods
Interaction paradigm
Interaction pattern
Multi-modal
Qualitative analysis
User interfaces
TitleInput forager: A user-driven interaction adaptation approach for head worn displays
TypeConference Paper
Pagination115-122
dc.accessType Abstract Only


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