Tilt Techniques: Investigating the Dexterity of Wrist-based Input @BristolIG
Tilt Techniques: Investigating the Dexterity of Wrist-based Input  @BristolIG
Uploaded November 2011 | Updated September 2026, 1 hour ago
The work presented in this video is the result of a research project by Mahfuz Rahman, Sean Gustafson, Pourang Irani and Sriram Subramanian . The video accompanies a research paper presented at the 2009 ACM Conference on Human-Factors in Computing Systems (CHI 2009).

Abstract:
Most studies on tilt based interaction can be classified as point-designs that demonstrate the utility of wrist-tilt as an input medium; tilt parameters are tailored to suit the specific interaction at hand. In this paper, we systematically analyze the design space of wrist-based interactions and focus on the level of control possible with the wrist. In a first study, we investigate the various factors that can influence tilt control, separately along the three axes of wrist movement: flexion/extension, pronation/supination, and ulnar/radial deviation. Results show that users can control comfortably at least 16 levels on the pronation/supination axis and that using a quadratic mapping function for discretization of tilt space significantly improves user performance across all tilt axes. We discuss the findings of our results in the context of several interaction techniques and identify several general design recommendations.
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Tilt Techniques: Investigating the Dexterity of Wrist-based Input

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