探索增强现实引导的心理运动任务中的专业技能维度
Exploring Dimensions of Expertise in AR-Guided Psychomotor Tasks
AI总结：
本研究通过问卷与手部追踪、GSR、注视追踪等多模态数据，比较新手与专家在AR引导精密检测任务中的决策和技术表现，为个性化工业AR培训的专业技能建模提供依据。
摘要：
本研究旨在探究新手与专家在执行增强现实（AR）引导的复杂心理运动任务时有何差异，重点关注决策与技术熟练度。研究依据一份评估参与者在精密检测方面技术技能和理论知识的预调查问卷，将其分为新手组和专家组。参与者完成了研究后问卷，该问卷评估认知负荷（NASA-TLX）、自我效能感、使用HoloLens 2和AR应用的体验，并收集总体反馈。我们使用来自AR设备和可穿戴设备的多模态数据，包括手部追踪、皮肤电反应和注视追踪，以测量关键绩效指标。结果发现，专家在技术任务执行中的决策速度、效率、准确性和灵巧性方面显著优于新手。新手在NASA-TLX中的感知绩效与GSR波幅之间呈正相关，表明较高的感知绩效与增强的生理应激反应相关。本研究为设计多维度专业技能评估模型以实现个性化工业AR培训系统奠定了基础。
英文摘要：
This study aimed to explore how novices and experts differ in performing complex psychomotor tasks guided by augmented reality (AR), focusing on decision-making and technical proficiency. Participants were divided into novice and expert groups based on a pre-questionnaire assessing their technical skills and theoretical knowledge of precision inspection. Participants completed a post-study questionnaire that evaluated cognitive load (NASA-TLX), self-efficacy, and experience with the HoloLens 2 and AR app, along with general feedback. We used multimodal data from AR devices and wearables, including hand tracking, galvanic skin response, and gaze tracking, to measure key performance metrics. We found that experts significantly outperformed novices in decision-making speed, efficiency, accuracy, and dexterity in the execution of technical tasks. Novices exhibited a positive correlation between perceived performance in the NASA-TLX and the GSR amplitude, indicating that higher perceived performance is associated with increased physiological stress responses. This study provides a foundation for designing multidimensional expertise estimation models to enable personalized industrial AR training systems.
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。
