How AI-Based Training Affected the Performance of Professional Go Players

Jimoon Kang; June Seop Yoon; Byungjoo Lee

doi:10.1145/3491102.3517540

How AI-Based Training Affected the Performance of Professional Go Players

Jimoon Kang, June Seop Yoon, Byungjoo Lee

College of Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this study, we analyzed how the performance of professional Go players has changed since the advent of AlphaGo, the first artificial intelligence (AI) application to defeat a human world Go champion. We interviewed and surveyed professional Go players and found that AI has been actively introduced into the Go training process since the advent of AlphaGo. The significant impact of AI-based training was confirmed in a subsequent analysis of 6,292 games in Korean Go tournaments and Elo rating data of 1,362 Go players worldwide. Overall, the tendency of players to make moves similar to those recommended by AI has sharply increased since 2017. The degree to which players' expected win rates fluctuate during a game has also decreased significantly since 2017. We also found that AI-based training has provided more benefits to senior players and allowed them to achieve Elo ratings higher than those of junior players.

Original language	English
Title of host publication	CHI 2022 - Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Publisher	Association for Computing Machinery
ISBN (Electronic)	9781450391573
DOIs	https://doi.org/10.1145/3491102.3517540
Publication status	Published - 2022 Apr 29
Event	2022 CHI Conference on Human Factors in Computing Systems, CHI 2022 - Virtual, Online, United States Duration: 2022 Apr 30 → 2022 May 5

Publication series

Name	Conference on Human Factors in Computing Systems - Proceedings

Conference

Conference	2022 CHI Conference on Human Factors in Computing Systems, CHI 2022
Country/Territory	United States
City	Virtual, Online
Period	22/4/30 → 22/5/5

Bibliographical note

Funding Information:
This research was funded by National Research Foundation of Korea (2020R1A2C4002146), Korea Creative Content Agency (R2021040105), and Institute of Information and Communications Technology Planning and Evaluation (2020-0-01361).

Publisher Copyright:
© 2022 ACM.

All Science Journal Classification (ASJC) codes

Human-Computer Interaction
Computer Graphics and Computer-Aided Design
Software

Access to Document

10.1145/3491102.3517540

Cite this

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title = "How AI-Based Training Affected the Performance of Professional Go Players",

abstract = "In this study, we analyzed how the performance of professional Go players has changed since the advent of AlphaGo, the first artificial intelligence (AI) application to defeat a human world Go champion. We interviewed and surveyed professional Go players and found that AI has been actively introduced into the Go training process since the advent of AlphaGo. The significant impact of AI-based training was confirmed in a subsequent analysis of 6,292 games in Korean Go tournaments and Elo rating data of 1,362 Go players worldwide. Overall, the tendency of players to make moves similar to those recommended by AI has sharply increased since 2017. The degree to which players' expected win rates fluctuate during a game has also decreased significantly since 2017. We also found that AI-based training has provided more benefits to senior players and allowed them to achieve Elo ratings higher than those of junior players.",

author = "Jimoon Kang and Yoon, {June Seop} and Byungjoo Lee",

note = "Funding Information: This research was funded by National Research Foundation of Korea (2020R1A2C4002146), Korea Creative Content Agency (R2021040105), and Institute of Information and Communications Technology Planning and Evaluation (2020-0-01361). Publisher Copyright: {\textcopyright} 2022 ACM.; 2022 CHI Conference on Human Factors in Computing Systems, CHI 2022 ; Conference date: 30-04-2022 Through 05-05-2022",

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Kang, J, Yoon, JS & Lee, B 2022, How AI-Based Training Affected the Performance of Professional Go Players. in CHI 2022 - Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems., 520, Conference on Human Factors in Computing Systems - Proceedings, Association for Computing Machinery, 2022 CHI Conference on Human Factors in Computing Systems, CHI 2022, Virtual, Online, United States, 22/4/30. https://doi.org/10.1145/3491102.3517540

How AI-Based Training Affected the Performance of Professional Go Players. / Kang, Jimoon; Yoon, June Seop; Lee, Byungjoo.

CHI 2022 - Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, 2022. 520 (Conference on Human Factors in Computing Systems - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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How AI-Based Training Affected the Performance of Professional Go Players

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