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The possibility of using player engagement predictions to profile high spending video game users is explored. In particular, individual-player survival curves in terms of days after first login, game level reached and accumulated playtime…

Machine Learning · Computer Science 2020-03-10 Ana Fernández del Río , Pei Pei Chen , África Periáñez

The emergence of mobile games has caused a paradigm shift in the video-game industry. Game developers now have at their disposal a plethora of information on their players, and thus can take advantage of reliable models that can accurately…

Machine Learning · Statistics 2018-11-29 Paul Bertens , Anna Guitart , África Periáñez

Reducing user attrition, i.e. churn, is a broad challenge faced by several industries. In mobile social games, decreasing churn is decisive to increase player retention and rise revenues. Churn prediction models allow to understand player…

Machine Learning · Statistics 2017-10-09 África Periáñez , Alain Saas , Anna Guitart , Colin Magne

Mobile gaming has emerged as a promising market with billion-dollar revenues. A variety of mobile game platforms and services have been developed around the world. One critical challenge for these platforms and services is to understand…

Machine Learning · Computer Science 2018-10-12 Xi Liu , Muhe Xie , Xidao Wen , Rui Chen , Yong Ge , Nick Duffield , Na Wang

Mobile games are extremely popular and engage millions of people every day. Even if they are often quite simple, their development features a high degree of difficulty and requires close attention to both achieve a high satisfaction from…

Computers and Society · Computer Science 2017-03-14 Daniele Grassi , Giacomo Barigazzi , Giacomo Cabri

Difficulty is one of the key drivers of player engagement and it is often one of the aspects that designers tweak most to optimise the player experience; operationalising it is, therefore, a crucial task for game development studios. A…

Artificial Intelligence · Computer Science 2025-03-20 Jeppe Theiss Kristensen , Paolo Burelli

For sustainable growth and profitability, online game companies are constantly carrying out various events to attract new game users, to maximize return users, and to minimize churn users in online games. Because minimizing churn users is…

Human-Computer Interaction · Computer Science 2019-09-25 Kyoung Ho Kim , Huy Kang Kim

Understanding player behavior is fundamental in game data science. Video games evolve as players interact with the game, so being able to foresee player experience would help to ensure a successful game development. In particular, game…

Machine Learning · Statistics 2018-12-10 Anna Guitart , Pei Pei Chen , Paul Bertens , África Periáñez

In the free online game industry, churn prediction is an important research topic. Reducing the churn rate of a game significantly helps with the success of the game. Churn prediction helps a game operator identify possible churning players…

Human-Computer Interaction · Computer Science 2019-12-30 Wanshan Yang , Ting Huang , Junlin Zeng , Lijun Chen , Shivakant Mishra , Youjian , Liu

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…

Human-Computer Interaction · Computer Science 2020-08-18 David Melhart , Daniele Gravina , Georgios N. Yannakakis

User churn, characterized by customers ending their relationship with a business, has profound economic consequences across various Business-to-Customer scenarios. For numerous system-to-user actions, such as promotional discounts and…

Machine Learning · Computer Science 2023-09-27 Shamik Bhattacharjee , Utkarsh Thukral , Nilesh Patil

With the surge in mobile gaming, accurately predicting user spending on newly downloaded games has become paramount for maximizing revenue. However, the inherently unpredictable nature of user behavior poses significant challenges in this…

Information Retrieval · Computer Science 2024-04-15 Peijie Sun , Yifan Wang , Min Zhang , Chuhan Wu , Yan Fang , Hong Zhu , Yuan Fang , Meng Wang

To which degree can abstract gameplay metrics capture the player experience in a general fashion within a game genre? In this comprehensive study we address this question across three different videogame genres: racing, shooter, and…

Human-Computer Interaction · Computer Science 2021-10-05 David Melhart , Antonios Liapis , Georgios N. Yannakakis

Game recommendation is an important application of recommender systems. Recommendations are made possible by data sets of historical player and game interactions, and sometimes the data sets include features that describe games or players.…

Information Retrieval · Computer Science 2020-09-21 Markus Viljanen , Jukka Vahlo , Aki Koponen , Tapio Pahikkala

As mobile devices become more and more popular, mobile gaming has emerged as a promising market with billion-dollar revenues. A variety of mobile game platforms and services have been developed around the world. A critical challenge for…

Machine Learning · Computer Science 2019-01-21 Xi Liu , Muhe Xie , Xidao Wen , Rui Chen , Yong Ge , Nick Duffield , Na Wang

Is it possible to predict the affect of a user just by observing her behavioral interaction through a video? How can we, for instance, predict a user's arousal in games by merely looking at the screen during play? In this paper we address…

Human-Computer Interaction · Computer Science 2019-10-16 Konstantinos Makantasis , Antonios Liapis , Georgios N. Yannakakis

The games research community has developed substantial knowledge on designing engaging experiences that draw players in. Surprisingly, less is known about player \textit{dis}engagement, with existing work predominantly addressing…

Human-Computer Interaction · Computer Science 2024-06-04 Dmitry Alexandrovsky , Kathrin Gerling , Merlin Steven Opp , Christopher Benjamin Hahn , Max V. Birk , Meshaiel Alsheail

Maximizing product use is a central goal of many businesses, which makes retention and monetization two central analytics metrics in games. Player retention may refer to various duration variables quantifying product use: total playtime or…

Applications · Statistics 2017-01-11 Markus Viljanen , Antti Airola , Jukka Heikkonen , Tapio Pahikkala

We study strategic interaction in data-driven games where players face uncertainty about payoff distributions inferred from finite samples. To model calibrated attitudes toward such uncertainty, we formulate distributionally robust games…

Computer Science and Game Theory · Computer Science 2026-05-28 Bharat Gangwani , Arunesh Sinha

Modified digital games manage to drive motivation in repetitive exercises needed for motor rehabilitation, however designing modifications that satisfy both rehabilitation and engagement goals is challenging. We present a method wherein a…

Human-Computer Interaction · Computer Science 2022-11-22 Antoine Loriette , Baptiste Caramiaux , Sebastian Stein , John H. Williamson
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