Harada Susumu, Landay James A, Malkin Jonathan, Li Xiao, Bilmes Jeff A
DUB Group, Computer Science and Engineering Department, University of Washington, Seattle, WA 98195, USA.
Disabil Rehabil Assist Technol. 2008 Jan;3(1):22-34. doi: 10.1080/17483100701352963.
Mouse control has become a crucial aspect of many modern day computer interactions. This poses a challenge for individuals with motor impairments or those whose use of hands is restricted due to situational constraints. We present a system called the Vocal Joystick which allows the user to continuously control the mouse cursor by varying vocal parameters such as vowel quality, loudness and pitch.
Evaluations were conducted to characterize expert performance capability of the Vocal Joystick, and to compare novice user performance and preference for the Vocal Joystick and two other existing speech based cursor control methods.
Our results show that Fitts' law, a well adopted model of human motor performance for movement tasks, is a good predictor of the speed - accuracy tradeoff for the Vocal Joystick, and suggests that the optimal performance of the Vocal Joystick may be comparable to that of a conventional hand-operated joystick. Novice user evaluations show that the Vocal Joystick can be used by people without extensive training, and that it presents a viable alternative to existing speech-based cursor control methods.
The Vocal Joystick, with its ease of use, minimal setup requirement, and controllability, offers promise for providing an efficient method for cursor control and other forms of continuous input for individuals with motor impairments.
鼠标控制已成为许多现代计算机交互中的关键环节。这给有运动障碍的人或因情境限制手部使用受限的人带来了挑战。我们提出了一种名为语音操纵杆的系统,它允许用户通过改变诸如元音质量、响度和音高等语音参数来持续控制鼠标光标。
进行了评估,以表征语音操纵杆的专家性能能力,并比较新手用户对语音操纵杆和其他两种现有的基于语音的光标控制方法的性能和偏好。
我们的结果表明,菲茨定律(一种广泛应用于运动任务的人类运动性能模型)是语音操纵杆速度-准确性权衡的良好预测指标,并表明语音操纵杆的最佳性能可能与传统手动操纵杆相当。新手用户评估表明,无需大量训练,人们就能使用语音操纵杆,并且它是现有基于语音的光标控制方法的可行替代方案。
语音操纵杆使用方便、设置要求最低且具有可控性,有望为有运动障碍的人提供一种有效的光标控制方法以及其他形式的连续输入方式。