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User-centred process for the definition of free-hand gestures applied to controlling music playback

机译:以用户为中心的过程,用于定义用于控制音乐播放的徒手手势

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Music is a fundamental part of most cultures. Controlling music playback has commonly been used to demonstrate new interaction techniques and algorithms. In particular, controlling music playback has been used to demonstrate and evaluate gesture recognition algorithms. Previous work, however, used gestures that have been defined based on intuition, the developers' preferences, and the respective algorithm's capabilities. In this paper we propose a refined process for deriving gestures from constant user feedback. Using this process every result and design decision is validated in the subsequent step of the process. Therefore, comprehensive feedback can be collected from each of the conducted user studies. Along the process we develop a set of free-hand gestures for controlling music playback. The situational context is analysed to shape the usage scenario and derive an initial set of necessary functions. In a successive user study the set of functions is validated and proposals for gestures are collected from participants for each function. Two gesture sets containing static and dynamic gestures are derived and analysed in a comparative evaluation. The comparative evaluation shows the suitability of the identified gestures and allows further refinement. Our results indicate that the proposed process, that includes validation of each design decision, improves the final results. By using the process to identify gestures for controlling music playback we not only show that the refined process can successfully be applied, but we also provide a consistent gesture set that can serve as a realistic benchmark for gesture recognition algorithms.
机译:音乐是大多数文化的基本组成部分。控制音乐播放通常已用于演示新的交互技术和算法。特别是,控制音乐播放已用于演示和评估手势识别算法。但是,以前的工作使用的手势是根据直觉,开发人员的偏好以及相应算法的功能定义的。在本文中,我们提出了一种从持续的用户反馈中得出手势的改进过程。使用此过程,将在该过程的后续步骤中验证每个结果和设计决策。因此,可以从每个进行的用户研究中收集全面的反馈。在此过程中,我们开发了一组自由手势来控制音乐播放。分析情境,以塑造使用场景并导出一组必要的功能。在连续的用户研究中,对功能集进行了验证,并从参与者的每个功能中收集了手势建议。在比较评估中派生并分析了包含静态和动态手势的两个手势集。比较评估显示了所识别手势的适合性,并允许进一步完善。我们的结果表明,所提出的过程(包括对每个设计决策的验证)可以改善最终结果。通过使用该过程来标识用于控制音乐播放的手势,我们不仅表明可以成功应用改进的过程,而且还提供了一致的手势集,可以用作手势识别算法的现实基准。

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