设计和评估用于选择外部物体的车载时间解耦指选取系统
Designing and Evaluating In-Vehicle Temporal Decoupling Pointing System for Selecting External Object
AI总结：
本文提出了一种车载交互范式Point and Select，通过时间解耦空间手势，减少驾驶认知负荷并保持驾驶性能。
摘要：
随着车载娱乐系统（IVIS）复杂性增加，使用传统触屏选择外部兴趣点（POIs）显著增加驾驶员认知负荷。最近证据表明，这种视觉-运动过载导致危险的'手在眼前'行为，影响主要驾驶任务。为此，我们提出Point and Select，一种新型车载交互范式，引入时间解耦到空间手势。通过将交互分为快速、 ballistic空间锚定阶段（'Rough Pointing'）和延迟、触觉确认阶段（'Fine Selection'），我们的设计符合驾驶员的认知-运动序列。我们在高保真驾驶模拟器中评估了这种时间解耦方法，在城市速度条件下。结果表明，Point and Select有效最小化感知认知负荷，同时无缝保持主要驾驶性能。本研究证明，将空间识别与确认解耦成功减轻了认知摩擦，为非自动驾驶环境提供更安全的行为设计策略。
英文摘要：
As In-Vehicle Infotainment Systems (IVIS) grow in complexity, selecting external points of interest (POIs) using traditional touchscreens significantly increases driver cognitive load. Recent evidence indicates that this visual-motor overload induces dangerous "hand-before-eye" behaviors, degrading primary driving tasks. To address this, we propose Point and Select, a novel in-vehicle interaction paradigm that introduces temporal decoupling to spatial gestures. By dividing the interaction into a rapid, ballistic spatial anchoring phase ("Rough Pointing") and a deferred, tactile confirmation phase ("Fine Selection"), our design aligns with the driver's cognitive-motor sequence. We evaluated this temporally decoupled approach in a high-fidelity driving simulator under urban speed conditions. Results indicate that Point and Select effectively minimizes perceived cognitive workload while seamlessly maintaining primary driving performance. This study demonstrates that decoupling spatial identification from confirmation successfully mitigates cognitive friction, offering a safer behavioral design strategy for non-autonomous driving environments.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
