Evaluating large language models in generating synthetic hci research data: a case study

P Hämäläinen, M Tavast, A Kunnari - … of the 2023 CHI Conference on …, 2023 - dl.acm.org
Collecting data is one of the bottlenecks of Human-Computer Interaction (HCI) research.
Motivated by this, we explore the potential of large language models (LLMs) in generating …

Transparency in measurement reporting: A systematic literature review of CHI PLAY

LF Aeschbach, SAC Perrig, L Weder, K Opwis… - Proceedings of the …, 2021 - dl.acm.org
Measuring theoretical concepts, so-called constructs, is a central challenge of Player
Experience research. Building on recent work in HCI and psychology, we conducted a …

Rethinking dynamic difficulty adjustment for video game design

Z Guo, R Thawonmas, X Ren - Entertainment Computing, 2024 - Elsevier
Abstract Dynamic Difficulty Adjustment (DDA) has garnered significant interest in game
research fields for many years. Despite high expectations, the effectiveness of DDA in …

Towards automated video game testing: Still a long way to go

C Politowski, YG Guéhéneuc, F Petrillo - Proceedings of the 6th …, 2022 - dl.acm.org
As the complexity and scope of game development increases, playtesting remains an
essential activity to ensure the quality of video games. Yet, the manual, ad-hoc nature of …

Breathing life into biomechanical user models

A Ikkala, F Fischer, M Klar, M Bachinski… - Proceedings of the 35th …, 2022 - dl.acm.org
Forward biomechanical simulation in HCI holds great promise as a tool for evaluation,
design, and engineering of user interfaces. Although reinforcement learning (RL) has been …

Off-peak: An examination of ordinary player experience

A Tyack, ED Mekler - Proceedings of the 2021 CHI Conference on …, 2021 - dl.acm.org
Videogames' increasing cultural relevance and suffusion into everyday use contexts
suggests they can no longer be considered novelties. Broadly speaking, games research at …

A difficulty-aware framework for churn prediction and intervention in games

J Li, H Lu, C Wang, W Ma, M Zhang, X Zhao… - Proceedings of the 27th …, 2021 - dl.acm.org
User's leaving from the system without further return, called user churn, is a severe negative
signal in online games. Therefore, churn prediction and intervention are of great value for …

RaidEnv: Exploring new challenges in automated content balancing for boss raid games

HC Jeon, IC Baek, C Bae, T Park, W You… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The balance of game content significantly impacts the gaming experience. Unbalanced
game content diminishes engagement or increases frustration because of repetitive failure …

Large language models are pretty good zero-shot video game bug detectors

MR Taesiri, F Macklon, Y Wang, H Shen… - arXiv preprint arXiv …, 2022 - arxiv.org
Video game testing requires game-specific knowledge as well as common sense reasoning
about the events in the game. While AI-driven agents can satisfy the first requirement, it is …

Predicting game difficulty and engagement using AI players

S Roohi, C Guckelsberger, A Relas… - Proceedings of the …, 2021 - dl.acm.org
This paper presents a novel approach to automated playtesting for the prediction of human
player behavior and experience. We have previously demonstrated that Deep …