Movement-based full-body interactions are increasingly being used in the design of interactive spaces, computer-mediated environments, and virtual user experiences due to the development and availability of diverse sensing technologies. In this context, the role of interaction designers is to find systematic and predictable relationships between bodily actions and the corresponding responses from technology. Sensor-based interaction design relies on sensor data analysis and higher-level feature extraction to improve detection capabilities. However, understanding human movement to inform the design of motion-based interactions is not straightforward if the detection capabilities of interaction technologies are unknown. We aim at understanding the problems and opportunities that practitioners—regardless of their technical background—perceive in using different motion-based full-body features. To achieve this, we conducted four separate focus groups with experienced practitioners, with and without technical backgrounds. We used a framework for the analysis of focus group data in information systems research to identify content areas and draw conclusions. Our findings suggest that most interaction designers, regardless of their technical background, consider motion-based feature extraction to be challenging and time-consuming. However, participants acknowledge they might use designer-interpretable features as a potential tool to foster user behavior exploration. Understanding how practitioners link sensor-based interaction design with feature extraction technology is relevant to design computational tools and reduce the technical effort required from designers to characterize the user’s movement.

由于各种传感技术的发展和可用性，基于运动的全身交互越来越多地用于交互空间、计算机中介环境和虚拟用户体验的设计。在这种情况下，交互设计师的作用是在身体动作与相应的技术响应之间找到系统的和可预测的关系。基于传感器的交互设计依靠传感器数据分析和更高级别的特征提取来提高检测能力。然而，如果交互技术的检测能力未知，那么了解人体运动来为基于运动的交互设计提供信息就不是一件容易的事。我们旨在了解从业者（无论其技术背景如何）在使用不同的基于运动的全身特征时所感知的问题和机会。为实现这一目标，我们与经验丰富的从业人员进行了四个独立的焦点小组，有技术背景和无技术背景。我们使用了一个框架来分析信息系统研究中的焦点小组数据，以确定内容领域并得出结论。我们的研究结果表明，大多数交互设计师，无论他们的技术背景如何，都认为基于动作的特征提取具有挑战性且耗时。但是，参与者承认他们可能会使用 我们使用了一个框架来分析信息系统研究中的焦点小组数据，以确定内容领域并得出结论。我们的研究结果表明，大多数交互设计师，无论他们的技术背景如何，都认为基于动作的特征提取具有挑战性且耗时。但是，参与者承认他们可能会使用 我们使用了一个框架来分析信息系统研究中的焦点小组数据，以确定内容领域并得出结论。我们的研究结果表明，大多数交互设计师，无论他们的技术背景如何，都认为基于动作的特征提取具有挑战性且耗时。但是，参与者承认他们可能会使用设计师可解释的功能作为促进用户行为探索的潜在工具。了解从业者如何将基于传感器的交互设计与特征提取技术联系起来，与设计计算工具和减少设计人员表征用户运动所需的技术工作有关。