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Improving Viewing Experiences of First-Person Shooter Gameplays with Automatically-Generated Motion Effects

Gyeore Yun,Hyoseung Lee,Sangyoon Han,Seungmoon Choi

Published 2021 in International Conference on Human Factors in Computing Systems

ABSTRACT

In recent times, millions of people enjoy watching video gameplays at an eSports stadium or home. We seek a method that improves gameplay spectator or viewer experiences by presenting multisensory stimuli. Using a motion chair, we provide the motion effects automatically generated from the audiovisual stream to the viewers watching a first-person shooter (FPS) gameplay. The motion effects express the game character’s movement and gunfire action. We describe algorithms for the computation of such motion effects developed using computer vision techniques and deep learning. By a user study, we demonstrate that our method of providing motion effects significantly improves the viewing experiences of FPS gameplay. The contributions of this paper are with the motion synthesis algorithms integrated for FPS games and the empirical evidence for the benefits of experiencing multisensory gameplays.

PUBLICATION RECORD

  • Publication year

    2021

  • Venue

    International Conference on Human Factors in Computing Systems

  • Publication date

    2021-05-06

  • Fields of study

    Computer Science

  • Identifiers
    DOI 10.1145/3411764.3445358
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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