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 …
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
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 …
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 …
research fields for many years. Despite high expectations, the effectiveness of DDA in …
Towards automated video game testing: Still a long way to go
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 …
essential activity to ensure the quality of video games. Yet, the manual, ad-hoc nature of …
Breathing life into biomechanical user models
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 …
design, and engineering of user interfaces. Although reinforcement learning (RL) has been …
Off-peak: An examination of ordinary player experience
Videogames' increasing cultural relevance and suffusion into everyday use contexts
suggests they can no longer be considered novelties. Broadly speaking, games research at …
suggests they can no longer be considered novelties. Broadly speaking, games research at …
A difficulty-aware framework for churn prediction and intervention in games
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 …
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
The balance of game content significantly impacts the gaming experience. Unbalanced
game content diminishes engagement or increases frustration because of repetitive failure …
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 …
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 …
player behavior and experience. We have previously demonstrated that Deep …