Comparing Paper- and AR-Based Assembly Manuals in Task Performance, dlPFC Hemodynamic Responses, and Perceived Workload
比较了传统纸质、用户固定AR和世界固定AR三种装配手册，发现世界固定AR手册能减少定位错误、提升任务表现，但两种AR手册都增加了认知控制需求，而感知工作负荷无显著差异。
ObjectiveThis study comparatively evaluated three assembly manual types (traditional paper-based, user-fixed AR, and world-fixed AR) in terms of task performance, dlPFC hemodynamic responses, and perceived workload.BackgroundPrior studies of AR and traditional assembly manuals have relied mainly on subjective workload ratings, providing only an indirect view of cognitive effort. Neurophysiological assessment can quantify mental workload more directly. Measuring dlPFC activation may offer a process-specific index of cognitive control demands.MethodTwenty-four participants performed a 7-min modified Purdue Pegboard Test with each manual type in a within-subjects design. Task performance, dlPFC hemodynamic responses, and perceived workload were assessed. fNIRS was used to measure hemodynamic responses.ResultsThe world-fixed AR manual yielded significantly better task performance than both paper-based and user-fixed AR manuals, particularly in reducing location errors. Both AR manuals elicited significantly higher dlPFC activation than the paper-based manual, indicating elevated cognitive control demands. Perceived workload did not differ significantly across manual types.ConclusionThe world-fixed AR manual improved task performance by reducing information access cost, yet both AR manuals increased cognitive control demands relative to the paper-based manual, likely due to perceptual conflicts inherent in AR. The user-fixed AR manual did not outperform the paper-based version, indicating that AR effectiveness depends on design specifics.ApplicationThe study recommends the world-fixed AR manual among the three types examined while emphasizing the need for innovations that reduce perceptual conflicts. It also shows that neurophysiological assessment provides insights beyond task performance and subjective ratings, supporting multidimensional evaluation to optimize interface technologies.