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Influence of Different Fields of View on Decision-Making in a Search-and-Shoot Scenario

  • Akash K. Rao
  • , Utkrisht Dhankar
  • , Chandan Satyarthi
  • , Sushil Chandra
  • , Varun Dutt

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

    Abstract

    Indirect visual displays (IVDs) play a significant role in providing full-spectrum views of the immediate environment in closed systems (e.g., tanks). However, currently little is known about how different fields of views (FoVs) in IVDs influence operator's decision-making in scenarios requiring search and shoot operations. The primary objective of this study was to determine the influence of varying degrees of FoVs on human decision-making in a terrainbased search-and-shoot scenario. A total of 25 participants performed in two FoV designs that were presented to them in a random order: A 180∗2 FoV, where the computer screen was split into two sections (top and bottom) and each section provided a 180° FoV of the outside scene (front and back); and, a 90∗4 FoV, where the computer screen was split into four sections, where each section provided a 90° FoV of the outside scene (front, back, left, and right). Results revealed that performance was better, frustration was less, and effort was less in the 180∗2 FoV compared to the 90∗4 FoV; however, the mental demand was more in the 180∗2 FoV compared to the 90∗4 FoV. We highlight the implication of our results for operator's decision-making in IVD tasks.

    Original languageEnglish
    Title of host publicationProceedings - 2017 International Conference on Machine Learning and Data Science, MLDS 2017
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages61-67
    Number of pages7
    ISBN (Electronic)9781538634462
    DOIs
    Publication statusPublished - 02-07-2017
    Event2017 International Conference on Machine Learning and Data Science, MLDS 2017 - Noida, India
    Duration: 14-12-201715-12-2017

    Publication series

    NameProceedings - 2017 International Conference on Machine Learning and Data Science, MLDS 2017
    Volume2018-January

    Conference

    Conference2017 International Conference on Machine Learning and Data Science, MLDS 2017
    Country/TerritoryIndia
    CityNoida
    Period14-12-1715-12-17

    All Science Journal Classification (ASJC) codes

    • Artificial Intelligence
    • Computer Science Applications
    • Signal Processing

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