Enabling Expertise: Raising the Performance Ceiling for Touch Devices

启用专业知识：提高触摸设备的性能上限

• 批准号: RGPIN-2017-05536
• 负责人: Gutwin, Carl
• 金额: $ 5.17万
• 依托单位: University of Saskatchewan
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=711721
• 关键词: Enabling; Expertise; Raising; Performance; Ceiling

The long-term goal of this research program is to dramatically improve user performance with touch interfaces. Touch interaction is now ubiquitous, but current touch interfaces are severely limited in their support for expertise - unlike more traditional settings that provide shortcuts like hotkeys or command languages. Touch is easy for novices to learn, but the range and expressiveness of touch interfaces is less than traditional desktop systems. The problem is that current touch interfaces have a strong focus on visual direct manipulation; and although this approach has good explorability, it has a low performance ceiling. Therefore, as users become increasingly familiar with the interface, they must continue to work in a "beginner mode" interface designed for novices. As computation increasingly moves to touch-based interfaces, and as applications on touch devices become more complex (e.g., full office suites, 3D modeling tools, real-time multi-player games), it is critical to address the limitations of current interfaces and raise the performance ceiling for touch enabling expert interaction and greatly increasing user performance and satisfaction. We propose three main objectives: Objective 1: Understand Expertise by quantifying the role of task, guidance, and usage context on performance with expert interaction techniques and touch devices. Studies of expert interaction techniques typically do not include real-world factors in performance evaluations, leading to a limited understanding of the comparative performance of different techniques and different approaches to supporting transitions from novice to expert. We will carry out several studies to test the effects of three important factors (task differences, guidance during initial use, and usage context) on expertise development and performance ceilings in realistic use. Objective 2: Predict Expertise by developing predictive models of touch performance and expertise development. Predictive models play a valuable role in HCI they allow researchers to explore much larger areas of a design space and they enable new techniques that exploit the model. We will develop models of touch expertise in three areas: models of performance and retention of multitouch commands; models of errors in spatial touch techniques; and models of user willingness to use expert techniques. Objective 3: Exploit Expertise by developing and evaluating specific techniques with higher performance ceilings. There is great potential for new techniques that exploit the approaches proposed above to raise performance ceilings for touch interaction. We will develop several new techniques that combine touch input with other modalities, and that increase the expressive power of touch using spatial organization. These techniques will be evaluated in a variety of task and usage scenarios to fully explore their capabilities and limitations.

这项研究计划的长期目标是大幅提高触摸界面的用户性能。触摸交互现在无处不在，但目前的触摸界面在支持专业知识方面受到严重限制-不像提供快捷键或命令语言等快捷方式的传统设置。触摸对于新手来说很容易学习，但触摸界面的范围和表现力不如传统的桌面系统。问题在于，当前的触摸界面非常注重视觉直接操作;尽管这种方法具有良好的可探索性，但其性能上限较低。因此，随着用户对界面越来越熟悉，他们必须继续在为新手设计的“初学者模式”界面中工作。随着计算越来越多地移动到基于触摸的界面，并且随着触摸设备上的应用变得更加复杂（例如，完整的办公套件、3D建模工具、实时多人游戏），解决当前界面的局限性并提高触摸的性能上限至关重要，从而实现专家交互并大大提高用户性能和满意度。我们提出三个主要目标： 目标一：通过专家交互技术和触摸设备量化任务、指导和使用环境对性能的作用，了解专业知识。 专家互动技术的研究通常不包括现实世界的因素在性能评估，导致有限的理解不同的技术和不同的方法，以支持从新手到专家的过渡的比较性能。我们将进行几项研究，以测试三个重要因素（任务差异，初始使用期间的指导和使用环境）对专业知识发展和实际使用中的性能上限的影响。 目标2：通过开发触摸性能和专业技能发展的预测模型来预测专业技能。 预测模型在人机交互中发挥着重要作用，它们允许研究人员探索设计空间的更大区域，并使利用模型的新技术成为可能。我们将在三个领域开发触摸专业知识模型：多点触摸命令的性能和保留模型;空间触摸技术中的错误模型;以及用户使用专家技术的意愿模型。 目标3：通过开发和评估具有更高性能上限的特定技术来利用专业知识。 利用上面提出的方法来提高触摸交互的性能上限的新技术具有很大的潜力。我们将开发几种新技术，将联合收割机触摸输入与其他形式相结合，并使用空间组织来增加触摸的表达能力。这些技术将在各种任务和使用场景中进行评估，以充分探索其功能和局限性。