输入设备（例如按钮和滑块）是任何接口的基础。典型的以用户为中心的设计工作流程要求开发人员和用户经历设计、实施和分析的许多迭代。该过程效率低下，并且人为的决策会严重影响结果。尽管计算方法用于辅助各种设计任务，但还没有任何整体方法可以使输入组件的设计自动化。我的论文提出了一系列的计算输入设计工作流程：我构想了一个样本高效的多目标优化算法，该算法巧妙地选择了设计实例，这些实例立即部署在物理模拟器上。然后，当在模拟器上使用设计实例时，元强化学习用户模型将模拟用户行为。新的工作流程以高效和自动化的方式推导了帕累托最优设计。我演示了如何通过建议的方法设计按钮，最终的设计优于已知的基准。计算输入设计过程可以推广到其他设备，例如操纵杆、触摸屏、鼠标、控制器等。
原文题目：Computational Workflows for Designing Input Devices
原文：Input devices, such as buttons and sliders, are the foundation of any interface. The typical user-centered design workflow requires the developers and users to go through many iterations of design, implementation, and analysis. The procedure is inefficient, and human decisions highly bias the results. While computational methods are used to assist various design tasks, there has not been any holistic approach to automate the design of input components. My thesis proposed a series of Computational Input Design workflows: I envision a sample-efficient multi-objective optimization algorithm that cleverly selects design instances, which are instantly deployed on physical simulators. A meta-reinforcement learning user model then simulates the user behaviors when using the design instance upon the simulators. The new workflows derive Pareto-optimal designs with high efficiency and automation. I demonstrate designing a push-button via the proposed methods. The resulting designs outperform the known baselines. The Computational Input Design process can be generalized to other devices, such as joystick, touchscreen, mouse, controller, etc.
原文作者：Yi-Chi Liao
原文地址：https://arxiv.org/abs/2101.10032
设计输入设备的计算工作流程（CS HC）.pdf