{"type":"ScholarlyArticle","title":"From Multimodal Perception to Strategic Reasoning: A Survey on AI-Generated Game Commentary","authors":[{"name":"Qirui Zheng","slug":"qirui-zheng","given":"Qirui","family":"Zheng","affiliation":""},{"name":"Xingbo Wang","slug":"xingbo-wang","given":"Xingbo","family":"Wang","affiliation":""},{"name":"Keyuan Cheng","slug":"keyuan-cheng","given":"Keyuan","family":"Cheng","affiliation":""},{"name":"Yunlong Lu","slug":"yunlong-lu","given":"Yunlong","family":"Lu","affiliation":""},{"name":"Muhammad Asif Ali","slug":"muhammad-asif-ali","given":"Muhammad Asif","family":"Ali","affiliation":""},{"name":"Lingfeng Li","slug":"lingfeng-li","given":"Lingfeng","family":"Li","affiliation":""},{"name":"Yongyi Wang","slug":"yongyi-wang","given":"Yongyi","family":"Wang","affiliation":""},{"name":"Wenxin Li","slug":"wenxin-li","given":"Wenxin","family":"Li","affiliation":""}],"abstract":"The advent of artificial intelligence has propelled AI-Generated Game Commentary (AI-GGC) into a rapidly expanding research area, offering advantages such as scalable availability and personalized narration. However, existing studies remain fragmented, and a systematic survey that unifies prior efforts is still lacking. To bridge this gap, our survey introduces a unified framework that systematically organizes the AI-GGC landscape. We present a novel taxonomy focused on three core commentator capabilities: Live Observation, Strategic Analysis, and Historical Recall, and further categorize commentary into three corresponding types: Descriptive Commentary, Analytical Commentary, and Background Commentary. Building on this structure, we provide an in-depth review of methods, datasets, and evaluation metrics, analyzing their strengths and limitations. Finally, we highlight key challenges and point out promising directions for future research in AI-GGC.","doi":"10.24963/ijcai.2026/901","url":"https://ijcai.org/proceedings/2026/901","pdf":"https://ijcai.org/proceedings/2026/0901.pdf","markdown":"https://ijcai.org/proceedings/2026/901.md","bibtex":"https://ijcai.org/proceedings/2026/bibtex/901","volume":{"slug":"2026","title":"Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2026","url":"https://ijcai.org/proceedings/2026/","year":2026,"location":"Bremen, Germany","dates":"15-21 August 2026","editors":"Diego Calvanese","isbn":"978-1-956792-09-6","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2026"},"section":"Survey Track","track":"Survey Track","number":901,"pages":{"first":8125,"last":8133},"keywords":["Natural Language Processing: Resources and evaluation","Natural Language Processing: Language generation","Machine Learning: Multi-modal learning","Multidisciplinary Topics and Applications: Entertainment"],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}