Abstract
Input 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.
| Original language | English |
|---|---|
| Title of host publication | MUM 2016 - 15th International Conference on Mobile and Ubiquitous Multimedia, Proceedings |
| Publisher | Association for Computing Machinery |
| Pages | 115-122 |
| Number of pages | 8 |
| Volume | Part F125832 |
| ISBN (Electronic) | 9781450348607 |
| DOIs | |
| Publication status | Published - 2016 Dec 12 |
| Event | 15th International Conference on Mobile and Ubiquitous Multimedia, MUM 2016 - Rovaniemi, Finland Duration: 2016 Dec 12 → 2016 Dec 15 |
Other
| Other | 15th International Conference on Mobile and Ubiquitous Multimedia, MUM 2016 |
|---|---|
| Country | Finland |
| City | Rovaniemi |
| Period | 16/12/12 → 16/12/15 |
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Keywords
- Adaptation
- Adaptive
- Augmented reality
- Borrowing
- Multimodal
ASJC Scopus subject areas
- Human-Computer Interaction
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Software
Cite this
Input forager : A user-driven interaction adaptation approach for head worn displays. / Al-Sada, Mohammed; Ishizawa, Fumiko; Tsurukawa, Junichi; Nakajima, Tatsuo.
MUM 2016 - 15th International Conference on Mobile and Ubiquitous Multimedia, Proceedings. Vol. Part F125832 Association for Computing Machinery, 2016. p. 115-122.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Input forager
T2 - A user-driven interaction adaptation approach for head worn displays
AU - Al-Sada, Mohammed
AU - Ishizawa, Fumiko
AU - Tsurukawa, Junichi
AU - Nakajima, Tatsuo
PY - 2016/12/12
Y1 - 2016/12/12
N2 - Input 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.
AB - Input 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.
KW - Adaptation
KW - Adaptive
KW - Augmented reality
KW - Borrowing
KW - Multimodal
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UR - http://www.scopus.com/inward/citedby.url?scp=85014842581&partnerID=8YFLogxK
U2 - 10.1145/3012709.3012719
DO - 10.1145/3012709.3012719
M3 - Conference contribution
VL - Part F125832
SP - 115
EP - 122
BT - MUM 2016 - 15th International Conference on Mobile and Ubiquitous Multimedia, Proceedings
PB - Association for Computing Machinery
ER -