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Special Interest Group: The Present and Future of Esports in HCI

Published: 08 May 2021 Publication History

Abstract

Rapidly gaining in mainstream appeal, esports constitute a phenomenon at the intersection of different Human-Computer Interaction (HCI) perspectives—relating to games user research, multifaceted aspects of game design for performance and entertainment, design and support of social or interpersonal interaction, inclusion vs. toxicity in online communities, visualization of esports data, subdomains like physical esports, as well as connections with education and health contexts. This special interest group (SIG) will provide a space for HCI researchers and practitioners to connect and discuss themes at the intersection of HCI and esports. It will serve as a starting point for mapping the esports design and research landscape in order to identify and pursue opportunities for research, to increase awareness for collaboration in this domain within the HCI community, to share experiences and knowledge, and to establish a community to shape the future of esports.

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Cited By

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  • (2024)ESPORT: Electronic Sports Professionals Observations and Reflections on TrainingPhysical Culture and Sport. Studies and Research10.2478/pcssr-2024-0021105:1(13-23)Online publication date: 11-Oct-2024
  • (2024)A Feature Comparison Study of Live Companion Tools for Esports GamesProceedings of the 19th International Conference on the Foundations of Digital Games10.1145/3649921.3650004(1-11)Online publication date: 21-May-2024
  • (2024)Characterizing and Quantifying Expert Input Behavior in League of LegendsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642588(1-21)Online publication date: 11-May-2024
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Information

Published In

cover image ACM Conferences
CHI EA '21: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems
May 2021
2965 pages
ISBN:9781450380959
DOI:10.1145/3411763
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 May 2021

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Author Tags

  1. communities
  2. education
  3. esports
  4. health
  5. mixed reality
  6. spectatorship experience
  7. streaming
  8. training

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  • Extended-abstract
  • Research
  • Refereed limited

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CHI '21
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Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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CHI 2025
ACM CHI Conference on Human Factors in Computing Systems
April 26 - May 1, 2025
Yokohama , Japan

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Cited By

View all
  • (2024)ESPORT: Electronic Sports Professionals Observations and Reflections on TrainingPhysical Culture and Sport. Studies and Research10.2478/pcssr-2024-0021105:1(13-23)Online publication date: 11-Oct-2024
  • (2024)A Feature Comparison Study of Live Companion Tools for Esports GamesProceedings of the 19th International Conference on the Foundations of Digital Games10.1145/3649921.3650004(1-11)Online publication date: 21-May-2024
  • (2024)Characterizing and Quantifying Expert Input Behavior in League of LegendsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642588(1-21)Online publication date: 11-May-2024
  • (2023)Body x MaterialsExtended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3573807(1-7)Online publication date: 19-Apr-2023
  • (2022)ggViz: Accelerating Large-Scale Esports Game AnalysisProceedings of the ACM on Human-Computer Interaction10.1145/35495016:CHI PLAY(1-22)Online publication date: 31-Oct-2022
  • (2022)Esports meets human-computer interactionInteractions10.1145/352485529:3(42-47)Online publication date: 2-May-2022
  • (2021)Research of e-sports development world tendencies on the base of Data Mining methodsBulletin of Taras Shevchenko National University of Kyiv. Series: Physics and Mathematics10.17721/1812-5409.2021/2.16(117-124)Online publication date: 2021

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