Soft-Constraints to Reduce Legacy and Performance Bias to Elicit Whole-body Gestures with Low Arm Fatigue
Soft-Constraints to Reduce Legacy and Performance Bias to Elicit Whole-body Gestures with Low Arm Fatigue
复制标题
软约束可减少遗留问题和性能偏差，从而引发全身手势并减轻手臂疲劳
DOI：
10.1145/2702123.2702583
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
Daniel Vogel
中科院分区：
文献类型：
--
作者：
Jaime Ruiz;Daniel Vogel
参与者的偏见会影响启发研究中提出的手势。以前对现有输入设备、接口和技术的经验甚至知识存在遗留偏见。还有一种表现偏差，即人工研究环境不鼓励考虑疲劳等长期因素。这些偏差使得发现适合全身手势输入的手势特别困难。我们建议使用软约束通过惩罚身体运动来纠正遗留和性能偏差。我们使用手腕重量作为软约束，以在手臂疲劳程度较低的情况下引发全身姿势。我们表明，软约束鼓励使用更微妙的手臂运动或交替的身体部位以及更低的手臂运动消耗耐力来实现更广泛的手势。
Participant biases can influence proposed gestures in elicitation studies. There is a legacy bias from previous experience with, or even knowledge of, existing input devices, interfaces, and technologies. There is also a performance bias, where the artificial study setting does not encourage consideration of long-term aspects such as fatigue. These biases make it especially difficult to uncover gestures appropriate for whole-body gestural input. We propose using soft constraints to correct for legacy and performance biases by penalizing physical movements. We use wrist weights as a soft constraint to elicit whole-body gestures with low arm fatigue. We show soft constraints encourage a wider range of gestures using subtler arm movements or alternate body parts and lower consumed endurance for arm movements.