• 285 Citations
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Personal profile

Research profile

Günter is Assistant Professor in the Systemic Change Cluster in the Department of Industrial Design. His research interests lie at the intersection of games user research, data analytics, and information visualization. His work particularly centers on understanding player behavior in games and on researching methods to explore and communicate the collected data to derive actionable insights for game design and development. As part of this, he is working on data visualizations to support the analysis of the increasingly large-scale player behavioral datasets used in game analytics. Günter frequently serves on the program committee of games, visualization, and human-computer interaction related conferences. He is actively involved in the organization of academic games conferences such as CHI PLAY for which he serves as program chair in 2019. His research has been published in international journals and conference proceedings, such as CHI, CHI PLAY, FDG, Computers & Graphics, and Entertainment Computing.

Academic background

Günter holds a diploma degree in computer science from the University of Technology from where he graduated with distinction in 2005. He received a doctoral degree in natural sciences for his work on hardware accelerated radiosity algorithmsfrom the University of Applied Arts Vienna from where he graduated with distinction four years later, in 2009. In 2018, he joined TU/e as assistant professor. He also holds a permanent position as Senior Scientist at the University of Applied Arts Vienna, Institute of Art & Technology. He has published more than 60 peer-reviewed articles and frequently speaks at academic conferences. Günter has received various awards and recognitions for his work on games.

External positions

Senior Scientist, University of Applied Arts Vienna

Fingerprint Dive into the research topics where Günter Wallner is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Visualization Engineering & Materials Science
Industry Engineering & Materials Science
Ontology Engineering & Materials Science
Electric network analysis Engineering & Materials Science
Directed Acyclic Graph Mathematics
Websites Engineering & Materials Science
Telemetering Engineering & Materials Science

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Research Output 2005 2019

A brief overview of data mining and analytics in games

Wallner, G., 2019, Data Analytics Applications in Gaming and Entertainment. Wallner, G. (ed.). New York: CRC Press, p. 1-14 14 p.

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

data mining
twenty first century
decision making
3 Citations (Scopus)
1 Downloads (Pure)

Aggregated visualization of playtesting data

Wallner, G., Halabi, N. & Mirza-Babaei, P., 2 May 2019, CHI 2019 - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. New York: Association for Computing Machinery, Inc, 12 p. 363

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access

Assessing the impact of visual design on the interpretation of aggregated playtesting data visualization

Halabi, N., Wallner, G. & Mirza-Babaei, P., 17 Oct 2019, CHI PLAY 2019 - Proceedings of the Annual Symposium on Computer-Human Interaction in Play. New York: Association for Computing Machinery, Inc, p. 639-650 12 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access
Data visualization
Decision making
1 Citation (Scopus)
159 Downloads (Pure)

Beyond the individual: understanding social structures of an online player matchmaking website

Wallner, G., Schinnerl, C., Schiller, M. H., Monte Calvo, A., Pirker, J., Sifa, R. & Drachen, A., May 2019, In : Entertainment Computing. 30, 14 p., 100284.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access

Data analytics applications in gaming and entertainment

Wallner, G. (ed.), 2019, Boca Raton: CRC Press. 306 p.

Research output: Book/ReportBook editingAcademicpeer-review

Data mining
Customer satisfaction
Electric sparks


Data analytics for engineers

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