ShanghaiTech University Knowledge Management System
ClueCart: Supporting Game Story Interpretation and Narrative Inference from Fragmented Clues | |
2025 | |
会议录名称 | THE ACM CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS |
发表状态 | 正式接收 |
摘要 | Indexical storytelling is gaining popularity in video games, where the narrative unfolds through fragmented clues. This approach fosters player-generated content and discussion, as story interpreters piece together the overarching narrative from these scattered elements. However, the fragmented and non-linear nature of the clues makes systematic categorization and interpretation challenging, potentially hindering efficient story reconstruction and creative engagement. To address these challenges, we first proposed a hierarchical taxonomy to categorize narrative clues, informed by a formative study. Using this taxonomy, we designed ClueCart, a creativity support tool aimed at enhancing creators' ability to organize story clues and facilitate intricate story interpretation. We evaluated ClueCart through a between-subjects study (N=40), using Miro as a baseline. The results showed that ClueCart significantly improved creators' efficiency in organizing and retrieving clues, thereby better supporting their creative processes. Additionally, we offer design insights for future studies focused on player-centric narrative analysis. |
文献类型 | 会议论文 |
条目标识符 | https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/496963 |
专题 | 信息科学与技术学院_本科生 信息科学与技术学院_硕士生 信息科学与技术学院_PI研究组_李权组 |
通讯作者 | Li Q(李权) |
作者单位 | 1.School of Information Science and Technology, ShanghaiTech University, Shanghai, China 2.Computational Media and Arts, Hong Kong University of Science and Technology, Hong Kong, China 3.Chalmers University of Technology, Gothenburg , Sweden 4.University of Southern California, Los Angeles, California, United States 5.Computational Media and Arts - Information Hub, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, Guangdong, China, jakezhang@hkust-gz.edu.cn |
第一作者单位 | 信息科学与技术学院 |
通讯作者单位 | 信息科学与技术学院 |
第一作者的第一单位 | 信息科学与技术学院 |
推荐引用方式 GB/T 7714 | Wang XY,Cao YF,Xiong JJ,et al. ClueCart: Supporting Game Story Interpretation and Narrative Inference from Fragmented Clues[C],2025. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 |
修改评论
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。