Avenir-UX：通过模拟人类网络交互进行自动用户体验评估
Avenir-UX: Automated UX Evaluation via Simulated Human Web Interaction with GUI Grounding
AI总结：
Avenir-UX通过模拟人类交互行为，提供标准化的可用性评估，结合GUI接地技术，提升用户体验评估的效率和准确性，支持持续、可扩展的数据驱动测试。
摘要：
评估网页可用性通常需要耗费时间的用户研究和专家评审，这在产品开发过程中尤其是小团队和敏捷工作流中限制了迭代速度。我们提出了Avenir-UX，一个用户体验评估代理，通过模拟用户在网站上的行为并生成标准化的可用性。与传统工具依赖DOM解析不同，Avenir-UX通过接地动作和观察，使系统能够与真实网页端到端交互，同时保持用户旅程的连贯轨迹。基于Avenir-Web，我们的系统结合了模拟用户行为配置文件和结构化评估协议，整合了系统可用性量表（SUS）、逐步单次易用性问题（SEQ）和同时Think Aloud。随后将生成一份全面的用户体验（UX）报告。我们讨论了Avenir-UX的架构，并说明其多模态接地如何提高网页交互和用户体验评估场景的鲁棒性，为持续、可扩展和数据驱动的可用性测试新时代铺平道路，使每个开发者都能构建可用的网页界面。代码可在：https://github.com/Onflow-AI/Avenir-UX获取。
英文摘要：
Evaluating web usability typically requires time-consuming user studies and expert reviews, which often limits iteration speed during product development, especially for small teams and agile workflows. We present Avenir-UX, a user-experience evaluation agent that simulates user behavior on websites and produces standardized usability. Unlike traditional tools that rely on DOM parsing, Avenir-UX grounds actions and observations, enabling it to interact with real web pages end-to-end while maintaining a coherent trace of the user journey. Building on Avenir-Web, our system pairs this robust interaction with simulated user behavior profiles and a structured evaluation protocol that integrates the System Usability Scale (SUS), step-wise Single Ease Questions (SEQ), and concurrent Think Aloud. Subsequently, a comprehensive User Experience (UX) report will be generated. We discuss the architecture of Avenir-UX and illustrate how its multimodal grounding improves robustness for web-based interaction and UX evaluation scenarios, paving the way for a new era of continuous, scalable, and data-driven usability testing that empowers every developer to build web interfaces that are usable. Code is available at: https://github.com/Onflow-AI/Avenir-UX
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
