Cocoon,一个上下文敏感的推荐系统:通过定性研究进行价值分析

Fatoumata Camara, Rachel Demumieux, Gaëlle Calvary, N. Mandran
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引用次数: 2

摘要

由于环境计算,信息可以在任何地方、任何时间、任何平台上传播和访问。但这对公民来说有多大价值呢?他们的生活质量提高了吗?本文描述了G. Cockton提出的以价值为中心的设计(WCD)的应用,用于识别上下文感知推荐系统Cocoon的价值。本文介绍的工作涉及世界可持续发展框架的第一阶段:需求分析。这项工作是通过个人访谈完成的。这项研究使我们能够从用户的角度了解Cocoon的价值,并建立设计的关键需求。本文给出了这些结果以及访谈的协议。最后,我们讨论了以价值为中心的设计的优点和局限性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cocoon, un système de recommandation sensible au contexte: analyse de la valeur par une étude qualitative
In Thanks to ambient computing, information can be diffused and accessed everywhere, at anytime, on any platform. But how worthwhile is this for citizens? Is their quality of life improved? This article describes the application of the Worth Centered Design (WCD), proposed by G. Cockton, for identifying the worth of a context-aware recommender system, Cocoon. The work presented in this paper concerns the first phase of the WCD framework: analysis of needs. This work has been done through individual interviews. This study allowed us to understand the worth of Cocoon from a user point of view and establish key requirements for design. These outcomes are presented here as well as the protocol of interviews. To end, we discuss advantages and limitations of the Worth Centered Design.
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