Abstract
We evaluated the user-defined gestures for interacting with personal devices which are positioned in the periphery of attention. The evaluation process includes two phases: selecting user-elicited gestures and assessing their learnability and intuitiveness in a dual-task test. We first made use of image schemas to interpret user gestures and then group them into several cross-cultural mental models of defining gestures. Through this step we selected the most usable gesture for each mental model. A user test was then conducted to evaluate the performances of selected gestures when participants were concentrating on a concurrent typing task on the PC. These gestures were at the same level of distracting users from main task and the ease of use, in doing so the feasibility of the evaluation method were partly verified.
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Xiao, Y., He, R. (2020). Evaluating User-Elicited Gestures for Physical Peripheral Interaction with Smart Devices. In: Ahram, T., Falcão, C. (eds) Advances in Usability, User Experience, Wearable and Assistive Technology. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1217. Springer, Cham. https://doi.org/10.1007/978-3-030-51828-8_40
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DOI: https://doi.org/10.1007/978-3-030-51828-8_40
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