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Designing pacing for video games presents a unique set of challenges. Due to their interactivity, non-linearity, and narrative nature, many aspects must be coordinated and considered simultaneously. In addition, games are often developed in…

Human-Computer Interaction · Computer Science 2024-08-28 Julian Geheeb , Daniel Dyrda , Sebastian Geheeb

This study examines students' na\"ive mindset (misconceptions) about video game development, idealized and inaccurate beliefs that shape an unrealistic understanding of the field. The research evaluated the effectiveness of a…

Human-Computer Interaction · Computer Science 2025-11-04 Łukasz Sikorski , Jacek Matulewski

Building of tools--from simple prototypes to industrial-strength applications--is a pervasive activity in academic research. When proposing a new technique for software maintenance, effective tool support is typically required to…

Software Engineering · Computer Science 2008-08-05 Holger M. Kienle , Hausi A. Müller

People enjoy encounters with generative software, but rarely are they encouraged to interact with, understand or engage with it. In this paper we define the term 'PCG-based game', and explain how this concept follows on from the idea of an…

Artificial Intelligence · Computer Science 2016-10-12 Michael Cook , Mirjam Eladhari , Andy Nealen , Mike Treanor , Eddy Boxerman , Alex Jaffe , Paul Sottosanti , Steve Swink

This paper focuses on "tracing player knowledge" in educational games. Specifically, given a set of concepts or skills required to master a game, the goal is to estimate the likelihood with which the current player has mastery of each of…

Artificial Intelligence · Computer Science 2019-08-16 Pavan Kantharaju , Katelyn Alderfer , Jichen Zhu , Bruce Char , Brian Smith , Santiago Ontañón

We propose a novel architecture design for video prediction in order to utilize procedural domain knowledge directly as part of the computational graph of data-driven models. On the basis of new challenging scenarios we show that…

Computer Vision and Pattern Recognition · Computer Science 2024-07-16 Patrick Takenaka , Johannes Maucher , Marco F. Huber

The explosive growth of the video game industry has created an urgent need for recommendation systems that can scale with expanding catalogs and maintain user engagement. While prior work has explored accuracy and diversity in…

Information Retrieval · Computer Science 2025-08-21 Jingmao Zhang , Zhiting Zhao , Yunqi Lin , Jianghong Ma , Tianjun Wei , Haijun Zhang , Xiaofeng Zhang

This paper introduces application of Reflexive Game Theory to the matter of multistage decision making processes. The idea behind is that each decision making session has certain parameters like "when the session is taking place", "who are…

Multiagent Systems · Computer Science 2014-11-19 Sergey Tarasenko

In an era dominated by information overload, effective recommender systems are essential for managing the deluge of data across digital platforms. Multi-stage cascade ranking systems are widely used in the industry, with retrieval and…

Information Retrieval · Computer Science 2025-10-14 Junjie Huang , Jizheng Chen , Jianghao Lin , Jiarui Qin , Ziming Feng , Weinan Zhang , Yong Yu

In software engineering (SE) tasks, the naming approach is so important that it attracts many scholars from all over the world to study how to improve the quality of method names. To accurately recommend method names, we employ a novel…

Software Engineering · Computer Science 2022-01-25 Weidong Wang , Dian Li , Yujian Kang

This paper reviews the major methods and theories regarding the preservation of new media artifacts such as videogames, and argues for the importance of collecting and coming to a better understanding of videogame artifacts of creation,…

Digital Libraries · Computer Science 2008-11-20 Megan A. Winget , Caitlin Murray

Very little has been explored about the narrative as a process when constructing entertainment for interactive media. Simultaneously, the interest in narrative vehicles increases while certain occupations, seeing the narrative as a…

Human-Computer Interaction · Computer Science 2009-05-20 Katarina Borg Gyllenback

Process discovery aims to automatically derive process models from historical execution data (event logs). While various process discovery algorithms have been proposed in the last 25 years, there is no consensus on a dominating discovery…

Machine Learning · Computer Science 2025-02-17 Tsung-Hao Huang , Tarek Junied , Marco Pegoraro , Wil M. P. van der Aalst

In this paper, we present a method for automated persona-driven video game tutorial level generation. Tutorial levels are scenarios in which the player can explore and discover different rules and game mechanics. Procedural personas can…

Artificial Intelligence · Computer Science 2022-04-12 Michael Cerny Green , Ahmed Khalifa , M Charity , Julian Togelius

With the explosive growth of online products and content, recommendation techniques have been considered as an effective tool to overcome information overload, improve user experience, and boost business revenue. In recent years, we have…

Machine Learning · Computer Science 2020-01-28 Xi Liu , Li Li , Ping-Chun Hsieh , Muhe Xie , Yong Ge , Rui Chen

Before the computer age, games were played in the physical world where players would have to interact with real objects and each other, triggering a series of emotions. Nowadays, the computer games have become one of the most popular forms…

Human-Computer Interaction · Computer Science 2013-10-09 Vasco Pereira Torres

This chapter reports an empirical teaching experience integrating newsgame creation-serious games addressing current events and contributing to public debate-into an introductory game design course for engineering students. From 2010 to…

Computers and Society · Computer Science 2026-01-13 Damien Djaouti , Julian Alvarez

The term Procedural Content Generation (PCG) refers to the (semi-)automatic generation of game content by algorithmic means, and its methods are becoming increasingly popular in game-oriented research and industry. A special class of these…

Artificial Intelligence · Computer Science 2023-02-17 Vanessa Volz , Boris Naujoks , Pascal Kerschke , Tea Tusar

Personality assessment in career guidance and personnel selection traditionally relies on self-report questionnaires, which are susceptible to response bias, fatigue, and intentional distortion. Game-based assessment offers a promising…

Machine Learning · Computer Science 2026-01-06 Soroush Elyasi , Arya VarastehNezhad , Fattaneh Taghiyareh

Reward design plays a pivotal role in the training of game AIs, requiring substantial domain-specific knowledge and human effort. In recent years, several studies have explored reward generation for training game agents and controlling…

Artificial Intelligence · Computer Science 2026-05-26 In-Chang Baek , Sung-Hyun Kim , Sam Earle , Zehua Jiang , Jin-Ha Noh , Julian Togelius , Kyung-Joong Kim