Designing Mixed-Initiative Video Games
원문 초록
The development of Artificial Intelligence (AI) enables humans to co-create content with machines. The unexpectedness of AI-generated content can bring inspiration and entertainment to users. However, the co-creation interactions are always designed for content creators and have poor accessibility. To explore gamification of mixed-initiative co-creation and make human-AI interactions accessible and fun for players, I prototyped Snake Story, a mixed-initiative game where players can select AI-generated texts to write a story of a snake by playing a "Snake" like game. A controlled experiment was conducted to investigate the dynamics of player-AI interactions with and without the game component in the designed interface. As a result of a study with 11 players (n=11), I found that players utilized different strategies when playing with the two versions, game mechanics significantly affected the output stories, players' creative process, as well as role perceptions, and players with different backgrounds showed different preferences for the two versions. Based on these results, I further discussed considerations for mixed-initiative game design. This work aims to inspire the design of engaging co-creation experiences.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
BlenderGym: Benchmarking Foundational Model Systems for Graphics Editing
FREYR: A Framework for Recognizing and Executing Your Requests
Identifying and Clustering Counter Relationships of Team Compositions in PvP Games for Efficient Balance Analysis
Grammar-based Game Description Generation using Large Language Models
Word2World: Generating Stories and Worlds through Large Language Models
Learning Models of Adversarial Agent Behavior under Partial Observability
토론
이 논문과 연결된 포럼 글이 아직 없습니다.