Assessment of Instructor’s Capacity in One-to-Many AR Remote Instruction Giving
Mai Otsuki, Tzu-Yang Wang, Hideaki Kuzuoka · 2022
In this study, we focused on one-to-many remote collaboration which requires more mental resources from the remote instructor than the case of one-to-one since it is "multitasking". The main contribution of our study is that we assessed instructor’s capacity in one-to-many AR remote instruction giving both subjectively and objectively. We compared the remote instructor’s workload while interacting with a different number of local workers, assuming tasks at an industrial site. The results showed that the instructors perceived stronger workload and the communication quality became lower when interacting with multiple local workers. Based on the results, we discussed how to support the remote instructor in a one-to-many AR remote collaboration.