Johannes Büttner

M.Sc. Johannes Büttner

E-Mail: johannes.buettner@uni-wuerzburg.de

Johannes is a PhD student at the Games Engineering Group of the University of Würzburg. His research centers on dynamic difficulty adjustment, focusing on adaptive AI in interactive systems to improve user experiences.

He is currently working on his PhD thesis, supervised by Prof. Sebastian von Mammen, which explores how AI can dynamically adapt to user interactions to maintain engagement.

Johannes holds a Bachelor’s degree in Human-Computer Systems and a Master’s degree in Human-Computer Interaction. He has been a Research Assistant at the University of Würzburg from 2020 to 2024, participating in the VIA-VR project as part of the Games Engineering group.

Publications

2023[ to top ]

Baked Burger Bash: A Serious Virtual Reality Game Informing about the Effects of Acute Cannabinoid Intoxication. Vetter, Anne; Büttner, Johannes; von Mammen, Sebastian. In 2023 IEEE Conference on Games (CoG), pp. 1–4. 2023.
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@inproceedings{10333198, abstract = {This paper presents Baked Burger Bash, a serious game that aims to enhance a drug prevention program for adolescents using virtual reality (VR). The game is based on a simulation of acute cannabinoid intoxication embedded in an interactive cooking game. The player takes on the role of a food truck chef who needs to serve up the orders of passers-by. Various effects of intoxication make it hard to live up to the customers’ expectations. In this paper, we present the scientific background, insights from formative playtests, and feedback from a drug prevention expert who guided the iterative development.}, author = {Vetter, Anne and Büttner, Johannes and von Mammen, Sebastian}, booktitle = {2023 IEEE Conference on Games (CoG)}, keywords = {myown}, month = {08}, pages = {1-4}, title = {Baked Burger Bash: A Serious Virtual Reality Game Informing about the Effects of Acute Cannabinoid Intoxication}, year = 2023 }

2021[ to top ]

Playing with Dynamic Systems - Battling Swarms in Virtual Reality. Büttner, Johannes; Merz, Christian; von Mammen, Sebastian. In Applications of Evolutionary Computation, P. A. Castillo, J. L. Jiménez Laredo (eds.), pp. 309–324. Springer International Publishing, Cham, 2021.
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@inproceedings{10.1007/978-3-030-72699-7_20, abstract = {In this paper, we present a serious game with the goal to provide an engaging and immersive experience to foster the players' understanding of dynamic networked systems. Confronted with attacking swarm networks, the player has to analyse their underlying network topologies and to systematically dismantle the swarms using a set of different weapons. We detail the game design, including the artificial intelligence of the swarm, the play mechanics and the level designs. Finally, we conducted an analysis of the play performances of a test group over the course of the game which revealed a positive learning outcome.}, address = {Cham}, author = {B{\"u}ttner, Johannes and Merz, Christian and von Mammen, Sebastian}, booktitle = {Applications of Evolutionary Computation}, editor = {Castillo, Pedro A. and Jim{\'e}nez Laredo, Juan Luis}, keywords = {myown}, pages = {309–324}, publisher = {Springer International Publishing}, title = {Playing with Dynamic Systems - Battling Swarms in Virtual Reality}, year = 2021 }
Utilizing the Observer/Controller Architecture for a General Game AI. Büttner, Johannes. In Organic Computing: Doctoral Dissertation Colloquium 2021, S. Tomforde, C. Krupitzer (eds.), pp. 74–85. kassel university press, 2021.
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@inbook{buttner2021utilizing, author = {Büttner, Johannes}, booktitle = {Organic Computing: Doctoral Dissertation Colloquium 2021}, editor = {Tomforde, Sven and Krupitzer, Christian}, keywords = {myown}, pages = {74–85}, publisher = {kassel university press}, title = {Utilizing the Observer/Controller Architecture for a General Game AI}, year = 2021 }
Training a Reinforcement Learning Agent based on XCS in a Competitive Snake Environment. Büttner, Johannes; von Mammen, Sebastian. In IEEE COG 2021, 2021. 2021.
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@article{buttner2021training, author = {Büttner, Johannes and von Mammen, Sebastian}, journal = {IEEE COG 2021}, keywords = {myown}, title = {Training a Reinforcement Learning Agent based on XCS in a Competitive Snake Environment}, volume = 2021, year = 2021 }

2020[ to top ]

Horde Battle III or How to Dismantle a Swarm. Büttner, Johannes; Merz, Christian; von Mammen, Sebastian. In 2020 IEEE Conference on Games (CoG), pp. 640–641. IEEE, Osaka, Japan, 2020.
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@inproceedings{9231746, abstract = {In this demo paper, we present the design of a virtual reality (VR) first-person shooter (FPS) in which the player fends off waves of hostile flying swarm robots that took over the Earth. The purpose of this serious game is to train the player in understanding networks by learning how to dismantle them. We explain the play and game mechanics and the level designs tailored to provide an engaging experience and to re-enforce the network perspective of the swarm dynamics.}, address = {Osaka, Japan}, author = {{Büttner}, Johannes and {Merz}, Christian and {von Mammen}, Sebastian}, booktitle = {2020 IEEE Conference on Games (CoG)}, keywords = {myown}, pages = {640-641}, publisher = {IEEE}, title = {Horde Battle III or How to Dismantle a Swarm}, year = 2020 }

Hubland Süd, Geb. M2

Johannes Büttner

M.Sc. Johannes Büttner

Publications

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