Impact of Different Field-of-Views on Visuospatial Memory and Cognitive Workload in a Complex Virtual Environment

Rao, Akash K.; Daniel, Ronnie V.; Pandey, Vishal; Chandra, Sushil; Dutt, Varun

doi:10.1007/978-981-16-7220-0_2

Cited by 3 publications

(2 citation statements)

References 17 publications

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“…But most of the training conditions mentioned above have only so far been tested on generic cognitive or motor tasks, where the acquisition of mere rule-based heuristics would suffice for successfully executing the task. Researchers, namely Rao et al (2018aRao et al ( ,b, 2020aRao et al ( , 2022 The primary objective of this research is to test these expectations in an experiment with human participants where the type of training condition (heterogenous, difficult, and sham) is varied between subjects. As per IBLT, we hypothesize that the heterogenous training condition, owing to the succinct variations in the environment, would enable the decision-maker to store and retrieve salient instances (experiences) from the environment compared with those stored in difficult training conditions and the sham condition.…”

Section: Introductionmentioning

confidence: 99%

“…But most of the training conditions mentioned above have only so far been tested on generic cognitive or motor tasks, where the acquisition of mere rule-based heuristics would suffice for successfully executing the task. Researchers, namely Rao et al (2018a , b , 2020a , 2022) have demonstrated that VR training would maximize performance if individuals are first trained in a difficult environment compared with an easy environment in a dynamic decision-making context. But these studies have only given a glimpse of what the combination of immersive HMD VR and different training conditions have to offer in enhancing dynamic decision-making and regulating cognitive workload.…”

Section: Introductionmentioning

confidence: 99%

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Learning from feedback: Evaluation of dynamic decision-making in virtual reality under various repetitive training frameworks

2022

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Dynamic decision-making involves a series of interconnected interdependent confluence of decisions to be made. Experiential training is preferred over traditional methods to train individuals in dynamic decision-making. Imparting experiential training in physical settings can be very expensive and unreliable. In virtual reality (VR), synthetic environments play a significant role in providing flexible and cost-effective training environments to enhance dynamic decision-making. However, it is still unclear how VR can be used to impart dynamic decision-making training to increase cognitive performance in complex situations. Besides, different repetitive training methods like desirable difficulty framework and heterogeneity of practice have been evaluated on generic cognitive and motor tasks. However, an evaluation of how these repetitive training methods facilitate dynamic decision-making in an individual in a virtual complex environment setting is lacking in the literature. The objective of this study is to evaluate the effect of different repetitive training methods in immersive VR on dynamic decision-making in a complex search-and-shoot environment. In a lab-based experiment, 66 healthy subjects are divided equally and randomly into three between-subject training conditions: heterogenous, difficult, and sham. On Day 1, all the participants, regardless of the condition, executed an environment of a baseline difficulty level. From Days 2 to 7, the participants alternatively executed the novice difficulty and expert difficulty versions of the environment in the heterogenous condition. In difficult conditions, the participants executed the expert difficulty version of the environment from Days 2 to 7. In the sham condition, the participants executed an unrelated VR environment from Days 2 to 7. On Day 8, the participants executed the baseline difficulty version of the environment again in all the conditions. Various performance and workload-based measures were acquired. Results revealed that the participants in the heterogenous and difficult conditions performed significantly better on Day 8 compared with Day 1. The results inferred that a combination of immersive VR environment with repetitive heterogenous training maximized performance and decreased cognitive workload at transfer. We expect to use these conclusions to create effective training environments in VR for imparting training to military personnel in dynamic decision-making scenarios.

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Section: Introductionmentioning

confidence: 99%

“…But most of the training conditions mentioned above have only so far been tested on generic cognitive or motor tasks, where the acquisition of mere rule-based heuristics would suffice for successfully executing the task. Researchers, namely Rao et al (2018a , b , 2020a , 2022) have demonstrated that VR training would maximize performance if individuals are first trained in a difficult environment compared with an easy environment in a dynamic decision-making context. But these studies have only given a glimpse of what the combination of immersive HMD VR and different training conditions have to offer in enhancing dynamic decision-making and regulating cognitive workload.…”

Section: Introductionmentioning

confidence: 99%