AI 中文总结
该研究提出历史接地比率（HGR）作为AI生成城市叙事的设计参数，通过GeoDrama系统的步行研究发现，HGR增强叙事与位置相关性，但多项体验指标在中间平衡条件下最优，为信息分配策略提供可操作测量方法。
AI 中文摘要
具备位置感知能力的生成系统如今可基于用户周边环境选择历史档案与实时上下文信息，自动生成城市遗产漫步的叙事内容。然而当多个来源共同为生成提供信息时，现有系统既无法清晰呈现各来源内容在输出中实际占比，也缺乏可操作的测量方法。我们提出历史接地比率（Historical Grounding Ratio, HGR），定义为生成叙事中承载主张的信息单元被历史档案支持的比例，将叙事中历史证据的实际占比转化为可直接测量的设计参数。在移动叙事系统GeoDrama中，我们创建了三种条件：采用相同检索流程、规模相当的证据束，仅改变生成过程中不同来源信息的分配比例。我们通过包含18名参与者的被试内步行研究，评估HGR的变化对叙事体验的影响。提高HGR显著增强了叙事内容与特定位置的感知相关性；但历史理解、与可见场景的融合、信息数量的恰当性及进一步探索意愿并未随HGR单调提升，这四项指标在中间平衡条件下达到最高。这些发现表明，设计位置感知生成式界面不仅需要检索相关材料，还需确定不同来源信息如何构成最终输出，HGR为比较信息分配策略及其体验后果提供了可操作的测量手段。
英文摘要
Location-aware generative systems can now select historical archives and real-time contextual information based on a user's surroundings to automatically generate narratives for urban heritage walks. Yet when multiple sources jointly inform generation, existing systems provide neither a clear representation of how much content from each source actually appears in the output nor an operational means of measuring it. We introduce the Historical Grounding Ratio (HGR), defined as the proportion of claim-bearing information units in a generated narrative that are supported by historical archives. HGR turns the realized share of historical evidence in a narrative into a directly measurable design parameter. In GeoDrama, a mobile narrative system, we created three conditions that used a common retrieval procedure and comparable evidence-bundle sizes while varying the allocation of information from different sources during generation. We evaluated how changes in HGR affected narrative experience through a within-subject walking study with 18 participants. Increasing HGR significantly strengthened the perceived relevance between narrative content and the specific location. However, historical understanding, integration with the visible scene, appropriateness of the amount of information, and intention to explore further did not increase monotonically with HGR; all four measures were highest in the intermediate, balanced condition. These findings show that designing location-aware generative interfaces involves not only retrieving relevant material but also determining how information from different sources composes the final output. HGR offers an operational measure for comparing information-allocation strategies and their experiential consequences.
Comments34 pages, 11 figures, 4 tables
