collaborators

5 papers

cs.HC2026

"Pharos Night: Crown Pursuit": An AI-Native Deck-Building and Tactical Arena Game Design Based on Multi-Agent Systems

Ting-Chen Hsu, Jueyao Liu, Yanzi Zhou +5

With advancements in generative AI technology, an increasing number of researchers have begun exploring AI-native games in which gameplay rules are directly driven by generative AI…

cs.HC2026

IF:CARGO: LLM-Based Semantic Compilation for Al-Native Rule Programming Games

Ting-Chen Hsu, Lianye Zhang, Jiangxu Lin +3

This case study presents IF: CARGO, an experimental puzzle game that uses a large language model as a semantic compiler rather than an autonomous game-playing agent. Players author…

cs.HC2026

Who embraces AI in play? Exploratory modeling of player preference profiles toward game AI

Ting-Chen Hsu, Jiangxu Lin, Wenran Chen +2

Artificial intelligence is increasingly entering digital games through diverse functions. While prior work has shown that player attitudes toward game AI are strongly context-depen…

cs.HC2026

"It depends on where AI is used": Players' attitude patterns and evaluative logics toward different AI applications in digital games

Ting-Chen Hsu, Jiangxu Lin, Wenran Chen +2

As AI becomes increasingly embedded in digital games, players' attitudes de-pend not only on whether AI is used, but also on where and how it intervenes in gameplay. This study exa…

cs.HC2026

The Double-Edged Sword of Open-Ended Interaction: How LLM-Driven NPCs Affect Players' Cognitive Load and Gaming Experience

Ting-Chen Hsu, Wenran Chen, Jiangxu Lin +2

This study examines how large language model-driven non-player characters (LLM-NPCs) affect players' cognitive load and gaming experience, with a particular focus on the underlying…