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

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

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

    Abstract

    Two-dimensional (2D) desktop and three-dimensional (3D) Virtual-Reality (VR) play a significant role in providing military personnel with training environments to hone their decision-making skills. The nature of the environment (2D versus 3D) and the order of task difficulty (novice to expert or expert to novice) may influence human performance in these environments. However, an empirical evaluation of these environments and their interaction with the order of task difficulty has been less explored. The primary objective of this research was to address this gap and explore the influence of different environments (2D desktop or 3D VR) and order of task difficulty (novice to expert or expert to novice) on human performance. In a lab-based experiment, a total of 60 healthy subjects executed scenarios with novice or expert difficulty levels across both 2D desktop environments (N = 30) and 3D VR environments (N = 30). Within each environment, 15 participants executed the novice scenario first and expert scenario second, and 15 participants executed the expert scenario first and novice scenario second. Results revealed that the participants performed better in the 3D VR environment compared to the 2D desktop environment. Participants performed better due to both expert training (performance in novice second better compared to novice first) and novice training (performance in expert second better compared to expert first). The combination of a 3D VR environment with expert training first and novice training second maximized performance. We expect to use these conclusions for creating effective training environments using VR technology.

    Original languageEnglish
    Title of host publicationHCI International 2020 – Late Breaking Papers
    Subtitle of host publicationVirtual and Augmented Reality - 22nd HCI International Conference, HCII 2020, Proceedings
    EditorsConstantine Stephanidis, Jessie Y.C. Chen, Gino Fragomeni
    PublisherSpringer Science and Business Media Deutschland GmbH
    Pages421-439
    Number of pages19
    ISBN (Print)9783030599898
    DOIs
    Publication statusPublished - 2020
    Event22nd International Conference on Human-Computer Interaction,HCII 2020 - Copenhagen, Denmark
    Duration: 19-07-202024-07-2020

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume12428 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference22nd International Conference on Human-Computer Interaction,HCII 2020
    Country/TerritoryDenmark
    CityCopenhagen
    Period19-07-2024-07-20

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    All Science Journal Classification (ASJC) codes

    • Theoretical Computer Science
    • General Computer Science

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