对于流行的桌面应用程序的使用和可用性,互联网搜索引擎能“建议”什么?

Adam Fourney, R. Mann, Michael A. Terry
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引用次数: 1

摘要

在本文中,我们展示了互联网搜索查询日志如何产生丰富的、生态有效的数据集,这些数据集描述了人们在日常使用软件时遇到的常见任务和问题。这些数据集可以直接提供给标准的可用性实践。我们解决了收集、过滤和汇总查询方面的挑战,并展示了如何以极低的成本收集数据,即使不直接访问原始查询日志。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
What can internet search engines "suggest" about the usage and usability of popular desktop applications?
In this paper, we show how Internet search query logs can yield rich, ecologically valid data sets describing the common tasks and issues that people encounter when using software on a day-to-day basis. These data sets can feed directly into standard usability practices. We address challenges in collecting, filtering, and summarizing queries, and show how data can be collected at very low cost, even without direct access to raw query logs.
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