EducationComputer ScienceEducational TechnologyAssistive TechnologyComputer-assisted InstructionHuman-computer InteractionMobile Human-computer InteractionOnline TutoringOnline Tutoring SystemsTutorial Dialogue SystemsTutoring System EvaluationAssistive Reading TechnologyHuman-computer Interaction In TutoringPersonalized TutoringText Entry InteractionText Entry On Mobile DevicesTutoring Interaction
Many older adults are interested in smartphones. However most of them encounter difficulties in self-instruction and need support. Text entry, which is essential for various applications, is one of the most difficult operations to master. In this paper, we propose Typing Tutor, an individualized tutoring system for text entry that detects input stumbles and provides instructions. By conducting two user studies, we clarify the common difficulties that novice older adults experience and how skill level is related to input stumbles. Based on these studies, we develop Typing Tutor to support learning how to enter text on a smartphone. A two-week evaluation experiment with novice older adults (65+) showed that Typing Tutor was effective in improving their text entry proficiency, especially in the initial stage of use.
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Jacob O. Wobbrock, Shaun K. Kane, Krzysztof Z. Gajos et al. · ACM Transactions on Accessible Computing · 2011 · 540 citations · Full text
Arts, Design, Interaction Design +7
Designing for dynamic diversity
Peter Gregor, Alan F. Newell, Mary Zajicek · 2002 · 363 citations
Arts, Design, Human-centered Design +16