Improving viewing experiences of first-person shooter gameplays with automatically-generated motion efects

Gyeore Yun, Hyoseung Lee, Sangyoon Han, Seungmoon Choi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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 efects automatically generated from the audiovisual stream to the viewers watching a frst-person shooter (FPS) gameplay. The motion efects express the game character's movement and gunfre action. We describe algorithms for the computation of such motion efects developed using computer vision techniques and deep learning. By a user study, we demonstrate that our method of providing motion efects signifcantly improves the viewing experiences of FPS game-play. The contributions of this paper are with the motion synthesis algorithms integrated for FPS games and the empirical evidence for the benefts of experiencing multisensory gameplays.

Original languageEnglish
Title of host publicationCHI 2021 - Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Subtitle of host publicationMaking Waves, Combining Strengths
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450380966
DOIs
StatePublished - 6 May 2021
Event2021 CHI Conference on Human Factors in Computing Systems: Making Waves, Combining Strengths, CHI 2021 - Virtual, Online, Japan
Duration: 8 May 202113 May 2021

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

Conference2021 CHI Conference on Human Factors in Computing Systems: Making Waves, Combining Strengths, CHI 2021
Country/TerritoryJapan
CityVirtual, Online
Period8/05/2113/05/21

Keywords

  • Automatic generation
  • Game
  • Gameplay
  • Motion efect
  • Viewing experience

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