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User-Defined Gestures for Taking Self-portraits with Smartphone Based on Consistency

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Advances in Usability, User Experience, Wearable and Assistive Technology (AHFE 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1217))

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Abstract

Contrary to most general studies focusing on applicable methods of gesture recognition and system actualization, this paper is aimed at obtaining gestures for taking self-portraits from a distance, which should be consistent with user intuition, to enhance user experience. The study was conducted through two experiments: 1) Gesture set acquisition: Participants were encouraged to propose five different gestures to trigger the gesture shot function, which would be collected as an original gesture set; 2) Consistency verification and evaluation: Participants subjectively evaluated the level of consistent experience of the representative gestures selected from the first experiment. Three user characteristics were presented in results, that was, a preference for dynamic gestures, a preference for one-hand gestures, and a preference for gestures with definite meanings. The results also showed two optimal gestures that met participants’ preferences and were verified to have the best consistency with high significance levels. This study can be a reference for the researches on gestural interaction behaviors and also a reference for the exploration of user-centered research methods.

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Authors and Affiliations

  1. School of Design, Hunan University, Changsha, Hunan, China

    Zhuochao Peng & Jiaxin Xu

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  1. Zhuochao Peng
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  2. Jiaxin Xu
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Correspondence to Zhuochao Peng .

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Editors and Affiliations

  1. Institute for Advanced Systems Engineering, University of Central Florida, Orlando, FL, USA

    Tareq Ahram

  2. Catholic University of Pernambuco, Boa Vista, Recife, Brazil

    Christianne Falcão

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Peng, Z., Xu, J. (2020). User-Defined Gestures for Taking Self-portraits with Smartphone Based on Consistency. 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_42

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  • DOI: https://doi.org/10.1007/978-3-030-51828-8_42

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-51827-1

  • Online ISBN: 978-3-030-51828-8

  • eBook Packages: EngineeringEngineering (R0)

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