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| Content Provider | ACM Digital Library |
|---|---|
| Author | Nakajima, Tatsuo Tsurukawa, Junichi Al-Sada, Mohammed Ishizawa, Fumiko |
| 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 interaction-event 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. |
| Starting Page | 115 |
| Ending Page | 122 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781450348607 |
| DOI | 10.1145/3012709.3012719 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2016-12-12 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Adaptive Borrowing Multimodal Augmented reality Adaptation |
| Content Type | Text |
| Resource Type | Article |
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