David Halbhuber, M.Sc.

Lebenslauf

seit 10/2020	Wissenschaftlicher Mitarbeiter am Lehrstuhl für Medieninformatik, Universität Regensburg.
09/2020	Master of Science (M. Sc.) in Medieninformatik, Universität Regensburg. Thema der Masterarbeit: Entwicklung und Evaluation eines prädiktiven Systems zur Prognose von Benutzereingaben in 3D-Spielen.
09/2020 - 04/2019	Wissenschaftliche Hilfskraft am Lehrstuhl für Medieninformatik, Tutor: "Digitalisierung und Digitale Gesellschaft I "Digitalisierung und Digitale Gesellschaft IV
04/2019	Bachelor of Arts (B.A.) Medieninformatik, Universität Regensburg Thema der Bachelorarbeit: Konzeptionelle Implementierung und Evaluation eines innerbetrieblichen „Vulnerability Assessment System“.

Lehre

Wintersemester 2022/2023

Übung Einführung in die Informatik und Medieninformat
Übung Digitalisierung und digitale Gesellschaft I: Technologische Grundlagen
Vorlesung Usability Engineering

Sommersemester 2022

Projektseminar Multimedia Engineering
Forschungsseminar HCI

Wintersemester 2021/2022

Übung Einführung in die Informatik und Medieninformatik
Übung Usability Engineering

Sommersemester 2021

Digitalisierung und digitale Gesellschaft I: Technologische Grundlagen
Forschungsseminar HCI

Wintersemester 2020/2021

Übung Einführung in die Informatik und Medieninformatik
Übung Digitalisierung und digitale Gesellschaft II: Anwendungsfelder der Digitalisierung

Forschungsinteressen

Latency in Video Games
Artificial Neural Networks in Games
Effects of Latency on Player Performance and Game Experience

Publikationen

Halbhuber, D., Schlenczek, M., Bogon, J., & Henze, N. (2022, November). Better be quiet about it! The Effects of Phantom Latency on Experienced First-Person Shooter Players. In Proceedings of the 21st International Conference on Mobile and Ubiquitous Multimedia (pp. 172-181).
Halbhuber, D. (2022, November). To Lag or Not to Lag: Understanding and Compensating Latency in Video Games. In Extended Abstracts of the 2022 Annual Symposium on Computer-Human Interaction in Play (pp. 370-373).
Halbhuber, D., Huber, M., Schwind, V., & Henze, N. (2022, November). Understanding Player Performance and Gaming Experience while Playing a First-Person Shooter with Auditory Latency. In Extended Abstracts of the 2022 Annual Symposium on Computer-Human Interaction in Play (pp. 24-30).
Halbhuber, D., Höpfinger, J., Schwind, V., & Henze, N. (2022, November). A Dataset to Investigate First-Person Shooter Players. In Extended Abstracts of the 2022 Annual Symposium on Computer-Human Interaction in Play (pp. 51-56).
Halbhuber, D., Schwind, V., & Henze, N. (2022). Don't Break my Flow: Effects of Switching Latency in Shooting Video Games. Proceedings of the ACM on Human-Computer Interaction, 6(CHI PLAY), 1-20.
Halbhuber, D., Seewald, M., Schiller, F., Götz, M., Fehle, J., & Henze, N. (2022). Using Artificial Neural Networks to Compensate Negative Effects of Latency in Commercial Real-Time Strategy Games. In Proceedings of Mensch und Computer 2022 (pp. 182-191).
Halbhuber, D., Köhler, A., Schmidbauer, M., Wiese, J., & Henze, N. (2022). The Effects of Auditory Latency on Experienced First-Person Shooter Players. In Proceedings of Mensch und Computer 2022 (pp. 286-296)
Halbhuber, D., Henze, N., & Schwind, V. (2021). Increasing Player Performance and Game Experience in High Latency Systems. Proceedings of the ACM on Human-Computer Interaction, 5(CHI PLAY), 1-20.
Schmidt, T., Engl, I., Halbhuber, D., & Wolff, C. (2020). Comparing Live Sentiment Annotation of Movies via Arduino and a Slider with Textual Annotation of Subtitles. In DHN Post-Proceedings (pp. 212-223).
Schmidt, T., & Halbhuber, D. (2020). Live Sentiment Annotation of Movies via Arduino and a Slider.
Schwind, V., Halbhuber, D., Fehle, J., Sasse, J., Pfaffelhuber, A., Tögel, C., ... & Henze, N. (2020, November). The Effects of Full-Body Avatar Movement Predictions in Virtual Reality using Neural Networks. In 26th ACM Symposium on Virtual Reality Software and Technology (pp. 1-11).
Halbhuber, D., Fehle, J., Kalus, A., Seitz, K., Kocur, M., Schmidt, T., & Wolff, C. (2019). The Mood Game-How to Use the Player's Affective State in a Shoot'em up Avoiding Frustration and Boredom. In Proceedings of Mensch und Computer 2019 (pp. 867-870).

Reviewer

CHI 2022: LBW, CHI 2023: Full Paper, LBW
CHI Play 2021: WIP, CHI Play 2022: Full Paper, WIP
mobileHCI 2022: Full Paper, mobileHCI 2023: Full Paper
VRST 2021: Full Paper (Special Recognition)
Virtual Reality Journal (VIRE)
MuC2021: Short Paper, MuC2022: Short Paper
IEEE VR23: Full Paper