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Evaluating User-Elicited Gestures for Physical Peripheral Interaction with Smart Devices

  • Yiqi XiaoEmail author
  • Renke He
Conference paper
  • 27 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1217)

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.

Keywords

User-elicited gestures Peripheral interaction Evaluation Image schemas 

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Copyright information

© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.College of Communication and Art DesignUniversity of Shanghai for Science and TechnologyShanghaiPeople’s Republic of China
  2. 2.School of DesignHunan UniversityChangshaPeople’s Republic of China

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