NeuroDivSim：用于界面设计中认知多样性基于模型反思的交互式工具

中文摘要 AI 辅助

近期模拟用户与合成用户的方法为设计提供了新支持，但也引发了关于用户的计算表征应如何助力设计实践的问题。我们提出NeuroDivSim，这是一款交互式工具，将模拟作为可检查的机制，用于在设计与原型制作过程中反思认知多样性。NeuroDivSim并非使用大语言模型（LLM）充当模拟用户，而是利用生成式AI从使用场景构建可检查的任务、界面与环境模型。经人工审核后，这些模型会与明确的认知参考配置相结合，通过确定性模拟进行处理。这使得设计师能在保持建模使用场景不变的情况下，改变认知假设并追踪其对交互步骤及基于规则的设计建议的影响。我们还报告了一项探索性试点评估（N=10），该评估为参与者如何参与工作流程提供了形成性见解，并为后续优化模型、模拟结果及建议的呈现提供了依据。

英文摘要

Recent approaches to simulated and synthetic users offer new ways to support design, but raise questions about how computational representations of users should contribute to design practice. We present NeuroDivSim, an interactive tool that explores simulation as an inspectable mechanism for reflecting on cognitive diversity during design and prototyping. Rather than using an LLM to act as a simulated user, NeuroDivSim uses generative AI to construct inspectable task, interface, and environment models from a usage scenario. After human review, these models are combined with explicit cognitive reference configurations and processed through deterministic simulation. This enables designers to hold a modeled usage situation constant while varying cognitive assumptions and tracing their consequences to interaction steps and rule-based design recommendations. We further report an exploratory pilot evaluation (N=10) that provided formative insights into how participants engaged with the workflow and informed subsequent refinements to the presentation of models, simulation results, and recommendations.

发表机构

• University of Applied Sciences Bremen（不来梅应用科学大学）
• Fraunhofer Institute for Digital Medicine MEVIS（弗劳恩霍夫数字医学MEVIS研究所）

机构由 AI 辅助整理，请以论文原文为准。