Most multi-user horizontal interactive surfaces, or tabletop computers, cannot determine which user has performed a given action. These tabletops are less capable than identity-aware (IA) tabletops, which can. However, current research on IA is scarce and speculative. Notably, no one has rigorously compared the power of IA and non-IA devices, so evidence that IA enables groups to work better together is lacking.
My thesis establishes an identity-aware perspective for interactive surface design. First, I have constructed an experiment to determine that IA can improve the effectiveness of small collaborative groups. A second experiment compares several emulation techniques designed to bring the benefits of IA to non-IA devices. I explore IA in detail through examples, present some open problems involving IA, and discuss promising solutions. Taken as a whole, this document serves as a comprehensive introduction to the study of identity awareness and a springboard for future research on the topic.
| Identifer | oai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:MWU.1993/4807 |
| Date | 31 August 2011 |
| Creators | Partridge, Grant |
| Contributors | Irani, Pourang (Computer Science), Jin, Dean (Computer Science); Fitzell, Gordon (Marcel A. Desautels Faculty of Music) |
| Source Sets | Library and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada |
| Detected Language | English |
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