EAGER: Interaction Can Hurt - Exploring a Gesture-Based Design Paradigm for Chronic Pain Sufferers

人类最常见的经历之一就是疼痛。重要的是在事情不对劲时发出警告，在需要采取行动时发出警报。但当疼痛持续超过3个月时，它被称为慢性疼痛，它会剥夺那些遭受疼痛的人的生产力、精神健康，甚至可能是他们的生命。随着人口老龄化，由纤维肌痛和腕管综合征等疾病引起的慢性疼痛需要计算机交互的人数将会增加。与此同时，在Microsoft Kinect等新商用技术部署的推动下，各种主流应用程序越来越依赖基于空中手势的非接触式交互，作为非预期用户的鼠标/键盘范例的替代方案。随着这一趋势的加速并变得更加普遍，慢性疼痛相关疾病(CPD)患者将成为受影响最严重的人群之一。PI在这项探索性研究中的目标是通过为使用CPD的用户开发手势交互的设计范例和最佳实践来缓解这一问题。项目成果不仅将深刻地改变目标用户社区成员的日常生活，而且通过更广泛地推进基于手势的交互技术的最新水平，它们还将减少其他用户未来患上身体疾病的机会。为此，PI将建立在他的手势交互的“个人空间”方法上，该方法允许用户定义交互区域以及在交互过程中休息肘部。他将分别考虑手势指向(使用用户的身体来控制交互位置和方向)和手势操作(用于在交互系统中保持、释放或选择项目的手势)，寻找每个问题空间，以发现常见非接触式手势交互的哪些更改对用户的疲劳、准确性和吞吐量有积极影响。实验将从抓取、捏和抓握等操作的文献中自然而直观的手势入手，回答各种最受欢迎的输入类型，以及哪些肌肉群在使用过程中受到最大影响等问题。其他输入选项，包括是否使用静态手势还是动态手势，对手势切换的支持，以及基于语音的输入也将被评估。这些发现将被结合起来，以创建一个设计范式，以帮助为CPD用户塑造完整的基于手势的交互和最佳实践。

One of the most common human experiences is pain. It is essential to warn when something is not right, and to alert when action needs to be taken. But when pain persists for longer than 3 months it is called chronic and it can rob those who suffer from it of their productivity, their mental well-being, and potentially even their lives. As the general population ages the number of people suffering from chronic pain induced by conditions such as Fibromyalgia and Carpal Tunnel Syndrome who require computer interaction will increase. Meanwhile, fueled by the deployment of new commodity technologies such as the Microsoft Kinect, there is a growing reliance in a variety of mainstream applications on touchless mid-air gesture-based interaction as an alternative to the mouse/keyboard paradigm for non-expect users. As this trend accelerates and becomes more widespread, people with chronic pain-related diseases (CPD) will be among those most negatively affected. The PI's goal in this exploratory research is to alleviate this problem by developing a design paradigm and best practices for gestural interaction for users with CPD. Not only will project outcomes profoundly change everyday life for members of the target user community, but by more generally advancing the state-of-the art in gesture-based interaction techniques they will also lessen the chance of other users developing future physical ailments.To these ends, the PI will build upon his "personal space" approach to gestural interaction, which allows the user to define the area of interaction as well as to rest their elbow during the interaction. He will consider separately gestural pointing (the use of a user's body to control interaction location and direction), and gestural manipulation (gestures used to hold, release, or select items within an interaction system), seeking for each problem space to discover which alterations to common touchless gesture interaction have a positive impact on users' fatigue, accuracy, and throughput. Using natural and intuitive gestures from the literature for operations such as grab, pinch and grasp as a starting point, experiments will be conducted to answer questions such as what are the various favored types of input, and which muscle groups are most affected during use. Other input options, including whether to use static vs. dynamic gestures, support for hand switching, and speech based input will also be evaluated. The findings will be combined to create a design paradigm to help shape a complete gesture-based interaction and best practices for users with CPD.