ABSTRACT
Mobile touch-screen interfaces and tetraplegic people have a controversial connection. While users with residual capacities in their upper extremities could benefit immensely from a device which does not require strength to operate, the precision needed to effectively select a target bars these people access to countless communication, leisure and productivity opportunities. Insightful projects attempted to bridge this gap via either special hardware or particular interface tweaks. Still, we need further insight into the challenges and the frontiers separating failure from success for such applications to take hold. This paper discusses an evaluation conducted with 15 tetraplegic people to learn the limits to their performance within a comprehensive set of interaction methods. We then present the results concerning a particular interaction technique: Tapping. Results show that performance varies across different areas of the screen whose distribution changes with target size.
References
- Cook, A. and Hussey, S. Assistive Technologies - Principles and Practice. Mosby, 2002.Google Scholar
- Froehlich, J.,et al. Barrier Pointing: Using Physical Edges to Assist Target Acquisition on Mobile Device Touch Screens. Proc. of ACM ASSETS (2007), 19--26. Google Scholar
Digital Library
- Myers, B. A., et al.. Using Handhelds to Help People with Motor Impairments. Proc. of ACM ASSETS (2002), 89--96. Google Scholar
Digital Library
- Mizobuchi, S., Chignell, M., and Newton, D. Mobile text entry: relationship between walking speed and text input task difficulty. Proc. MobileHCI (2005), 122--128. Google Scholar
Digital Library
- Parhi, P., et al. Target Size Study for One-Handed Thumb Use on Small Touchscreen Devices. Proc. MobileHCI (2006). Google Scholar
Digital Library
- Park, Y. S., et al. Touch Key Design for Target Selection on a Mobile Phone. Proc. 10th MobileHCI (2008), 423--426. Google Scholar
Digital Library
- Perry, K. B. et al.. Evaluating One Handed Thumb Tapping on Mobile Touchscreen Devices. Proc . GI (2008), 57--64. Google Scholar
Digital Library
- Sears, A., et al. When Computers Fade. Pervasive Computing and Situationally-Induced Impairments and Disabilities, pp. 1298--1302. Lawrence Erlbaum Associates, 2003.Google Scholar
- Wobbrock, J. O., Myers, B. A., and Kembel, J. A. EdgeWrite: A Stylus-Based Text Entry Method Designed for High Accuracy and Stability of Motion. UIST (2003), 61--70. Google Scholar
Digital Library
Index Terms
Assessing mobile touch interfaces for tetraplegics

Tiago João Vieira Guerreiro
Hugo Nicolau
Joaquim Jorge


Comments