自动建议对电子商务搜索可用性的影响

ISI ... : ... IEEE Intelligence and Security Informatics. IEEE International Conference on Intelligence and Security Informatics Pub Date : 2015-05-26 DOI:10.5281/zenodo.17948

Katharina C. Furtner, Thomas Mandl, Christa Womser-Hacker

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引用次数: 5

摘要

下面的研究分析了在移动网站上实施的自动建议对用户在移动电子商务商店中搜索的影响。一个基准测试显示，许多关于AutoSuggest实现的设计准则都得到了满足。为了进行可用性测试，我们系统地选择了不同的AutoSuggest设计。结果显示，平均而言，AutoSuggest功能保证了大多数任务与网站的更快交互。对于需要更多时间的任务，额外的交互时间约为10%，令人惊讶的是，这并非来自更多的交互步骤。许多定性研究结果解释了与AutoSuggest互动对用户来说是多么麻烦。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Effects of Auto-Suggest on the Usability of Search in eCommerce

The following study analyses the effects of Auto-Suggest as implemented on mobile Websites on user’s search in m-commerce-shops. A benchmark showed that many design guidelines regarding the implementation of AutoSuggest have been fulfilled. For usability tests, different designs of AutoSuggest have been systematically selected. The results showed that the AutoSuggest function guarantees a faster interaction with the website for most of the tasks on average. For tasks which require more time, the additional interaction time is around 10% and, surprisingly, does not result from more interaction steps. Many qualitative findings explain how interacting with AutoSuggest can be troublesome for users.

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ISI ... : ... IEEE Intelligence and Security Informatics. IEEE International Conference on Intelligence and Security Informatics

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