Title: | Advances in AI-assisted Game Testing |
Author(s): | Roohi, Shaghayegh |
Date: | 2022 |
Language: | en |
Pages: | 82 + app. 58 |
Department: | Tietotekniikan laitos Department of Computer Science |
ISBN: | 978-952-64-0825-5 (electronic) 978-952-64-0824-8 (printed) |
Series: | Aalto University publication series DOCTORAL THESES, 79/2022 |
ISSN: | 1799-4942 (electronic) 1799-4934 (printed) 1799-4934 (ISSN-L) |
Supervising professor(s): | Hämäläinen, Perttu, Prof., Aalto University, Department of Computer Science, Finland |
Subject: | Computer science |
Keywords: | game testing, player experience, emotion recognition, AI agents, reinforcement learning |
Archive | yes |
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Abstract:Game testing is an essential part of game development, in which developers try to select a game design that delivers a desirable experience for the players and engages them. However, the interactive nature of games makes the player experience and behavior unpredictable. Therefore, game testing requires collecting a large amount of playtest data in iterative sessions, which makes game testing time and money consuming.
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Parts:[Publication 1]: Roohi, Shaghayegh and Takatalo, Jari and Kivikangas, J. Matias and Hämäläinen, Perttu. Neural Network Based Facial Expression Analysis of Game Events: a Cautionary Tale. In Proceedings of the 2018 Annual Symposium on Computer-Human Interaction in Play, Melbourne, VIC, Australia, pp. 429–437, 10 2018. DOI: 10.1145/3242671.3242701 View at Publisher [Publication 2]: Roohi, Shaghayegh and Mekler, Elisa D. and Tavast, Mikke and Blomqvist, Tatu and Hämäläinen, Perttu. Recognizing Emotional Expression in Game Streams. In Proceedings of the Annual Symposium on Computer-Human Interaction in Play, Barcelona, Spain, pp. 301–311, 10 2019. DOI: 10.1145/3311350.3347197 View at Publisher [Publication 3]: Roohi, Shaghayegh and Relas, Asko and Takatalo, Jari and Heiskanen, Henri and Hämäläinen, Perttu. Predicting Game Difficulty and Churn Without Players. In Proceedings of the Annual Symposium on Computer-Human Interaction in Play, Virtual Event, Canada, pp. 585–593, 11 2020. Full text in Acris/Aaltodoc: http://urn.fi/URN:NBN:fi:aalto-2020123160449. DOI: 10.1145/3410404.3414235 View at Publisher [Publication 4]: Roohi, Shaghayegh and Guckelsberger, Christian and Relas, Asko and Takatalo, Jari and Heiskanen, Henri and Hämäläinen, Perttu. Predicting Game Difficulty and Engagement Using AI Players. Proceedings of the ACM on Human-Computer Interaction, vol. 5, no. CHI PLAY, pp. 1-17, 9 2021. Full text in Acris/Aaltodoc: http://urn.fi/URN:NBN:fi:aalto-2021112410418. DOI: 10.1145/3474658 View at Publisher |
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