This research investigates User Experience (UX) issues in dataset search platform interfaces, targeting Google Dataset Search and data.europa.eu. It focuses on 6 areas within UX: Initial Interaction, Search Process, Dataset Exploration, Filtering and Sorting, Dataset Actions, and Assistance and Feedback. The evaluation method combines 'The Pandemic Puzzle' user task, think-aloud methods, and demographic and post-task questionnaires. 29 strengths and 63 weaknesses were collected from 19 participants involved in roles within technology firm or academia. While certain insights are specific to particular platforms, most are derived from features commonly observed in dataset search platforms across a variety of fields, implying that our findings are broadly applicable. Observations from commonly found features in dataset search platforms across various fields have led to the development of 10 new design prototypes. Unlike literature retrieval, dataset retrieval involves a significant focus on metadata accessibility and quality, each element of which can impact decision-making. To address issues like reading fatigue from metadata presentation, inefficient methods for results searching, filtering, and selection, along with other unresolved user-centric issues on current platforms. These prototypes concentrate on enhancing metadata-related features. They include a redesigned homepage, an improved search bar, better sorting options, an enhanced search result display, a metadata comparison tool, and a navigation guide. Our aim is to improve usability for a wide range of users, including both developers and researchers.

翻译：本研究针对数据集搜索平台界面中的用户体验问题展开调查，以Google数据集搜索和data.europa.eu为研究对象。研究聚焦用户体验六大领域：初始交互、搜索过程、数据集探索、筛选与排序、数据集操作，以及协助与反馈。评估方法采用"疫情拼图"用户任务、有声思维法，并结合人口统计问卷与任务后问卷。来自科技企业或学术机构的19名参与者共收集到29项优势与63项不足。虽然部分发现具有特定平台属性，但多数结论源于跨领域数据集搜索平台的通用功能特征，表明研究结果具有广泛适用性。基于多领域数据集搜索平台常见功能的观察，研究最终提出10项新型设计原型。与文献检索不同，数据集检索更强调元数据的可获取性与质量，其中每个要素都可能影响决策过程。为应对元数据呈现导致的阅读疲劳、低效的结果检索/筛选/选取方法，以及当前平台其他未解决的用户中心问题，这些原型着重优化元数据相关功能，包括：重新设计的主页、改进的搜索栏、更优的排序选项、增强的结果展示界面、元数据对比工具及导航指南。我们旨在为开发者与研究人员等广泛用户群体提升平台可用性。