Suzuki, KoutaIwasaki, YukikoNishida, NonokaTsuji, AyumuKato, FumihiroIwata, HiroyasuAbey CampbellClaudia KrogmeierGareth Young2023-12-042023-12-042023978-3-03868-236-31727-530Xhttps://doi.org/10.2312/egve.20231345https://diglib.eg.org:443/handle/10.2312/egve20231345In recent years, various proposals have been made for body extensions, such as the [third arm] and other extended limbs. These extended limbs overcome physical limitations in multitasking, but they place a heavy burden on human cognition because they require attention to multiple positions. In this study, we developed VR training that applies a moderate attentional load and raises it step by step with the aim of improving multitasking ability by extending human effective attentional resources. The results of the validation test showed a 10 20% improvement in test task performance , confirming that the amount of tasks that can be handled and the speed of response to tasks increased. In addition, it was confirmed that switching of attention became more efficient, reducing the amount of attentional resources that were being wasted.Attribution 4.0 International LicenseCCS Concepts: Human-centered computing → Empirical studies in HCI; Virtual realityHumancentered computing → Empirical studies in HCIVirtual reality10.2312/egve.2023134537-382 pages