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Virtual-Reality Training Under Varying Degrees of Task Difficulty in a Complex Search-and-Shoot Scenario

  • Akash K. Rao*
  • , Jibraan Singh Chahal
  • , Sushil Chandra
  • , Varun Dutt
  • *Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    The type of training in virtual-reality (VR) environment plays a crucial role in enhancing military personnel’s decision-making ability. Little is currently known about how exposure to different types of training in VR designs may assist operators in getting trained in different simulated scenarios. We developed a VR search-and-shoot simulation with two scenarios in task complexity (novice and professional). Thirty healthy subjects played both the novice and professional scenarios in the VR design. Half of the participants were given novice training first, and half of the participants were given professional training first. We took various cognitive and behavioral measures into consideration for statistical analyses. Results disclosed that the participants who faced the professional scenario first fared better than the participants who faced the novice scenario first. We discuss the implication of our results involving VR technologies for creating effective environments for training military personnel.

    Original languageEnglish
    Title of host publicationIntelligent Human Computer Interaction - 11th International Conference, IHCI 2019, Proceedings
    EditorsUma Shanker Tiwary, Santanu Chaudhury
    PublisherSpringer
    Pages248-258
    Number of pages11
    ISBN (Print)9783030446888
    DOIs
    Publication statusPublished - 2020
    Event11th International Conference on Intelligent Human Computer Interaction, IHCI 2019 - Allahabad, India
    Duration: 12-12-201914-12-2019

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume11886 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference11th International Conference on Intelligent Human Computer Interaction, IHCI 2019
    Country/TerritoryIndia
    CityAllahabad
    Period12-12-1914-12-19

    All Science Journal Classification (ASJC) codes

    • Theoretical Computer Science
    • General Computer Science

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