Repetitive strain injury (RSI) affects roughly one in five computer users and remains largely unresolved despite decades of ergonomic mouse redesign. All such devices share a fundamental limitation: they still require fine-motor motion to operate. This work investigates whether predictive, AI-assisted input can reduce that motion by replacing physical pointing with ranked on-screen suggestions. To preserve user agency, we introduce Preview Accept Discard (PAD), a zero-click interaction paradigm that lets users preview predicted GUI targets, cycle through a small set of ranked alternatives, and accept or discard them via key-release timing. We evaluate PAD in two settings: a browser-based email client and a ISO 9241-9 keyboard-prediction task under varying top-3 accuracies. Across both studies, PAD substantially reduces hand motion relative to trackpad use while maintaining comparable task times with the trackpad only when accuracies are similar to those of the best spell-checkers.

翻译：重复性劳损（RSI）影响约五分之一的计算机用户，尽管经过数十年的鼠标人体工学重新设计，该问题仍未得到根本解决。所有此类设备都存在一个基本限制：它们仍需要精细运动操作才能使用。本研究探讨了预测性、AI辅助的输入是否可以通过用屏幕上的排序建议替代物理指向来减少运动量。为保持用户自主性，我们提出了预览-接受-丢弃（PAD）交互范式，这是一种零点击交互模式，允许用户预览预测的图形用户界面目标，在少量排序备选项间循环切换，并通过按键释放时机进行接受或丢弃操作。我们在两种场景下评估PAD：基于浏览器的电子邮件客户端，以及在不同前3位准确率下的ISO 9241-9键盘预测任务。两项研究均表明，相对于触控板使用，PAD显著减少了手部运动，且仅当预测准确率与最佳拼写检查器相当时，任务完成时间才与触控板相当。