Movement Time and Subjective Rating of Difficulty in Real and Virtual Pipe Transferring Tasks

Abstract

An experiment was performed to investigate the movement time (MT) and subjective rating of difficulty for real and virtual pipe transferring tasks. Thirty adults joined as human participants. The HoloPipes app in a Microsoft® Hololens 2 augmented reality (AR) device was adopted to generate virtual pipes. The participants performed pipe transferring trials, from one location to another on a workbench, in both lateral and anterior–posterior directions. For the lateral transferring tasks, pipes in three diameters with three transferring distances and two origins were tested. For the anterior–posterior transferring tasks, pipes with a diameter of 2.2 cm with three transferring distances and two origins were tested. It was found that the MT of transferring a virtual pipe was significantly (p < 0.0001) shorter than that of transferring a real pipe. Moreover, male participants transferred the pipe significantly (p < 0.0001) faster than their female counterparts. Thus, the hypothesis that transferring a virtual pipe is less efficient than transferring a real pipe was rejected. It was also found that the MT of transferring both a real and a virtual object was dependent upon gender, handedness, and the transferring direction. In addition, the subjective rating of difficulty in pipe transferring is positively correlated (r = 0.48, p < 0.0001) with the MT. Based on Fitts’ law, additive MT models were proposed. These models could be used to predict the MT between handling real and virtual pipes under gender, handedness, and transferring direction conditions.

Assessments of Order-Picking Tasks Using a Paper List and Augmented Reality Glasses with Different Order Information Displays

“…These devices enable the augmentation of realworld environments with visualized entities, either directly or indirectly [6,7]. Moreover, AR devices not only present 2D or 3D virtual elements in the real world but also allow realtime interactions between humans and the rendered objects [8][9][10]. AR can be implemented using either stationary or mobile devices, with the latter being notably more convenient.…”