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Moment-to-moment Engagement Prediction through the Eyes of the Observer: PUBG Streaming on Twitch

Authors:

Daniele Gravina,

Georgios N. YannakakisAuthors Info & Claims

FDG '20: Proceedings of the 15th International Conference on the Foundations of Digital Games

Article No.: 60, Pages 1 - 10

https://doi.org/10.1145/3402942.3402958

Published: 17 September 2020 Publication History

Abstract

Is it possible to predict moment-to-moment gameplay engagement based solely on game telemetry? Can we reveal engaging moments of gameplay by observing the way the viewers of the game behave? To address these questions in this paper, we reframe the way gameplay engagement is defined and we view it, instead, through the eyes of a game’s live audience. We build prediction models for viewers’ engagement based on data collected from the popular battle royale game PlayerUnknown’s Battlegrounds as obtained from the Twitch streaming service. In particular, we collect viewers’ chat logs and in-game telemetry data from several hundred matches of five popular streamers (containing over 100,000 game events) and machine learn the mapping between gameplay and viewer chat frequency during play, using small neural network architectures. Our key findings showcase that engagement models trained solely on 40 gameplay features can reach accuracies of up to 80% on average and 84% at best. Our models are scalable and generalisable as they perform equally well within- and across-streamers, as well as across streamer play styles.

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Cited By

Kleinman ESeif El-Nasr MPfau JKriglstein SWallner GMelhart DYannakakis GZhu JWatson BHarteveld C(2024)Ethics and Transparency in Game DataCompanion Proceedings of the 2024 Annual Symposium on Computer-Human Interaction in Play10.1145/3665463.3678859(466-470)Online publication date: 14-Oct-2024
https://dl.acm.org/doi/10.1145/3665463.3678859
Nguyen DMelcer EAdams D(2024)Exploring Gender and Racial/Ethnic Bias Against Video Game Streamers: Comparing Perceived Gameplay Skill and Viewer EngagementProceedings of the 19th International Conference on the Foundations of Digital Games10.1145/3649921.3650009(1-11)Online publication date: 21-May-2024
https://dl.acm.org/doi/10.1145/3649921.3650009
Mavromoustakos-Blom PMelhárt DLiapis AYannakakis GBakkes SSpronck P(2023)Multiplayer Tension In the Wild: A Hearthstone CaseProceedings of the 18th International Conference on the Foundations of Digital Games10.1145/3582437.3582440(1-9)Online publication date: 12-Apr-2023
https://dl.acm.org/doi/10.1145/3582437.3582440
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Published In

cover image ACM Other conferences

FDG '20: Proceedings of the 15th International Conference on the Foundations of Digital Games

September 2020

804 pages

ISBN:9781450388078

DOI:10.1145/3402942

Editors:
Georgios N. Yannakakis
University of Malta
,
Antonios Liapis
University of Malta
,
Penny Kyburz
Australian National University
,
Vanessa Volz
Modl.AI
,
Foaad Khosmood
California Polytechnic State University
,
Phil Lopes
École Polytechnique Fédèrale de Lausanne

Copyright © 2020 ACM.

Permission to make digital or hard copies of all or part 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 components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Publication History

Published: 17 September 2020

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FDG '20

FDG '20: International Conference on the Foundations of Digital Games

September 15 - 18, 2020

Bugibba, Malta

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Cited By

Kleinman ESeif El-Nasr MPfau JKriglstein SWallner GMelhart DYannakakis GZhu JWatson BHarteveld C(2024)Ethics and Transparency in Game DataCompanion Proceedings of the 2024 Annual Symposium on Computer-Human Interaction in Play10.1145/3665463.3678859(466-470)Online publication date: 14-Oct-2024
https://dl.acm.org/doi/10.1145/3665463.3678859
Nguyen DMelcer EAdams D(2024)Exploring Gender and Racial/Ethnic Bias Against Video Game Streamers: Comparing Perceived Gameplay Skill and Viewer EngagementProceedings of the 19th International Conference on the Foundations of Digital Games10.1145/3649921.3650009(1-11)Online publication date: 21-May-2024
https://dl.acm.org/doi/10.1145/3649921.3650009
Mavromoustakos-Blom PMelhárt DLiapis AYannakakis GBakkes SSpronck P(2023)Multiplayer Tension In the Wild: A Hearthstone CaseProceedings of the 18th International Conference on the Foundations of Digital Games10.1145/3582437.3582440(1-9)Online publication date: 12-Apr-2023
https://dl.acm.org/doi/10.1145/3582437.3582440
Pinitas KRenaudie DThomsen MBarthet MMakantasis KLiapis AYannakakis G(2023)Predicting Player Engagement in Tom Clancy's The Division 2: A Multimodal Approach via Pixels and Gamepad ActionsProceedings of the 25th International Conference on Multimodal Interaction10.1145/3577190.3614203(488-497)Online publication date: 9-Oct-2023
https://dl.acm.org/doi/10.1145/3577190.3614203
Makantasis KLiapis AYannakakis G(2023)The Pixels and Sounds of Emotion: General-Purpose Representations of Arousal in GamesIEEE Transactions on Affective Computing10.1109/TAFFC.2021.306087714:1(680-693)Online publication date: 1-Jan-2023
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Yannakakis GMelhart D(2023)Affective Game Computing: A SurveyProceedings of the IEEE10.1109/JPROC.2023.3315689111:10(1423-1444)Online publication date: Oct-2023
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Haposan DHidayat MSantosa AIbrahim MRizki Nur Majiid M(2023)Estimated Twitch Streamer Revenue Using Linear Regression Algorithm2023 5th International Conference on Cybernetics and Intelligent System (ICORIS)10.1109/ICORIS60118.2023.10352194(1-5)Online publication date: 6-Oct-2023
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Melhart DLiapis AYannakakis G(2022)The Arousal Video Game AnnotatIoN (AGAIN) DatasetIEEE Transactions on Affective Computing10.1109/TAFFC.2022.318885113:4(2171-2184)Online publication date: 1-Oct-2022
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Indulkar Y(2021)PUBG Winner Ranking Prediction using R Interface ‘h2o’ Scalable Machine Learning Platform2021 International Conference on Emerging Smart Computing and Informatics (ESCI)10.1109/ESCI50559.2021.9396823(300-305)Online publication date: 5-Mar-2021
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Melhart DLiapis AYannakakis G(2021)Towards General Models of Player Experience: A Study Within Genres2021 IEEE Conference on Games (CoG)10.1109/CoG52621.2021.9618902(01-08)Online publication date: 17-Aug-2021
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