Task switching training when interacting with several virtual worlds simultaneously

Today’s virtual reality (VR) environments can offer highly immersive experiences to users and a high sense of presence in these environments. Moreover, this sense of presence can be felt simultaneously in several virtual worlds, while users interact with each and move between them. In the current study, we hypothesized that enhancing humans’ physical capabilities by being present in several virtual worlds simultaneously will contribute positively to task switching training. We evaluated our hypothesis by examining the effectiveness of task switching training when the tasks are executed in one, two, and four different virtual worlds. The study randomly assigned 59 participants to one of three between-participants groups. The results demonstrated that although participants’ training experiences in the 1–World, 2–Worlds, and 4–Worlds groups were similar regarding training time and errors performed during training, the varied environments produced different results in the transfer phase. More worlds caused significantly longer transfer times. Additionally, the 4–Worlds group made many more errors when selecting the correct model to be assembled compared to the 1–World group. Hence, our hypothesis was not supported, with the findings pointing in the opposite direction. Instead of improving the task switching training, switching between tasks located in several different virtual worlds caused performance to deteriorate in the transfer task. The findings might imply that performing tasks set in multiple virtual worlds simultaneously can lower the cognitive load compared to performing them in one environment and can deteriorate the transfer of training. • We examined the effectiveness of task switching training in several virtual worlds. • The tasks were executed in one, two, or four different virtual worlds. • More worlds caused significantly longer transfer times. • The 4–Worlds group made more errors when selecting the correct model.

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Publication Details

Journal
Computers in Human Behavior
Published
2025-05-22
DOI
https://doi.org/10.1016/j.chb.2025.108708
Citations
1
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
2.44

Funders

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article

Task switching training when interacting with several virtual worlds simultaneously

Nirit Yuviler-Gavish, Yuval Blum Lazimi
1 citations
Computers in Human Behavior
Human-Automation Interaction and Safety
2.44
article

Task switching training when interacting with several virtual worlds simultaneously

Nirit Yuviler-Gavish, Yuval Blum Lazimi
article en
1 citations

Abstract

Today’s virtual reality (VR) environments can offer highly immersive experiences to users and a high sense of presence in these environments. Moreover, this sense of presence can be felt simultaneously in several virtual worlds, while users interact with each and move between them. In the current study, we hypothesized that enhancing humans’ physical capabilities by being present in several virtual worlds simultaneously will contribute positively to task switching training. We evaluated our hypothesis by examining the effectiveness of task switching training when the tasks are executed in one, two, and four different virtual worlds. The study randomly assigned 59 participants to one of three between-participants groups. The results demonstrated that although participants’ training experiences in the 1–World, 2–Worlds, and 4–Worlds groups were similar regarding training time and errors performed during training, the varied environments produced different results in the transfer phase. More worlds caused significantly longer transfer times. Additionally, the 4–Worlds group made many more errors when selecting the correct model to be assembled compared to the 1–World group. Hence, our hypothesis was not supported, with the findings pointing in the opposite direction. Instead of improving the task switching training, switching between tasks located in several different virtual worlds caused performance to deteriorate in the transfer task. The findings might imply that performing tasks set in multiple virtual worlds simultaneously can lower the cognitive load compared to performing them in one environment and can deteriorate the transfer of training. • We examined the effectiveness of task switching training in several virtual worlds. • The tasks were executed in one, two, or four different virtual worlds. • More worlds caused significantly longer transfer times. • The 4–Worlds group made more errors when selecting the correct model.

Computers in Human BehaviorVol. 171
Braude College of Engineering Karmiel (IL)
Council for Higher Education
Openalex Percentile: Top 13%
Human-Automation Interaction and Safety
2.44
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Task switching training when interacting with several virtual worlds simultaneously — Nirit Yuviler-Gavish, Yuval Blum Lazimi · Computers in Human Behavior (2025) | TGRS Research Map | TGRS