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#mixed-initiative
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Geheeb et al.: Let an LLM Poke at Your Game Design Pillars — Fukai Reads
A paper on game design pillars and LLMs by Julian Geheeb and colleagues at the Technical University of Munich. Pillars are heavily used in industry but almost unexamined academically; the paper gives them a formal definition and quality criteria, then hands structural checking, contradiction detection and feature evaluation to an LLM in a prototype called SPINE. A 42-hour game jam and interviews with four developers produce a consistent picture: useful at the moment of putting a pillar into words, thinning with each rewrite iteration, and unable to recognise deliberate juxtaposition when flagging contradictions. Peer-reviewed at FDG '26.
Luo et al.：AI“如何提供帮助”与帮助的内容同样有效——Fukai 解读
这是 UC Santa Barbara 的 Luo 等人关于混合主导型 AI“如何提供帮助”的论文。研究以 Rush Hour 谜题为题材，比较了按按钮请求的按需式帮助，与在无操作时间后自动触发的计时器式帮助，结果显示两者成绩几乎相同，但计时器型的做法却让被试对 AI 给出更高评价。论文已被 IUI '26 收录。
