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User Experience of Gesture Based Interfaces: A Comparison with Traditional Interaction Methods on Pragmatic and Hedonic Qualities

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Gesture and Sign Language in Human-Computer Interaction and Embodied Communication (GW 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7206))

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Abstract

Studies into gestural interfaces – and interfaces in general - typically focus on pragmatic or usability aspects (e.g., ease of use, learnability). Yet the merits of gesture-based interaction likely go beyond the purely pragmatic and impact a broader class of experiences, involving also qualities such as enjoyment, stimulation, and identification. The current study compared gesture-based interaction with device-based interaction, in terms of both their pragmatic and hedonic qualities. Two experiments were performed, one in a near-field context (mouse vs. gestures), and one in a far-field context (Wii vs. gestures). Results show that, whereas device-based interfaces generally scored higher on perceived performance, and the mouse scored higher on pragmatic quality, embodied interfaces (gesture-based interfaces, but also the Wii) scored higher in terms of hedonic quality and fun. A broader perspective on evaluating embodied interaction technologies can inform the design of such technologies and allow designers to tailor them to the appropriate application.

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© 2012 Springer-Verlag Berlin Heidelberg

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van Beurden, M.H.P.H., Ijsselsteijn, W.A., de Kort, Y.A.W. (2012). User Experience of Gesture Based Interfaces: A Comparison with Traditional Interaction Methods on Pragmatic and Hedonic Qualities. In: Efthimiou, E., Kouroupetroglou, G., Fotinea, SE. (eds) Gesture and Sign Language in Human-Computer Interaction and Embodied Communication. GW 2011. Lecture Notes in Computer Science(), vol 7206. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34182-3_4

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  • DOI: https://doi.org/10.1007/978-3-642-34182-3_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34181-6

  • Online ISBN: 978-3-642-34182-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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