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An elaborated model of social search

机译：精细的社交搜索模型

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摘要

Search engine researchers typically depict search as the solitary activity of an individual searcher. In contrast, results from our critical-incident survey of 150 users on Amazon's Mechanical Turk service suggest that social interactions play an important role throughout the search process. A second survey of also 150 users, focused instead on difficulties encountered during searches, suggests similar conclusions. These social interactions range from highly coordinated collaborations with shared goals to loosely coordinated collabora-tions in which only advice is sought. Our main contribution is that we have integrated models from previous work in sensemaking and information-seeking behavior to present a canonical social model of user activities before, during, and after a search episode, sug-gesting where in the search process both explicitly and implicitly shared information may be valuable to individual searchers.rnWe seek to situate collaboration in these search episodes in the context of our developed model for social search. We discuss factors that influence social interactions and content sharing during search activities. We also explore the relationship between social interac-tions, motivations, and query needs. Finally, we introduce preliminary findings from the second survey on difficult and failed search efforts, discussing how query needs and social interactions may differ in cases of search failures.
机译：搜索引擎研究人员通常将搜索描述为单个搜索者的单独活动。相比之下，我们对Amazon的Mechanical Turk服务上的150位用户进行的重大事件调查结果表明，社交互动在整个搜索过程中都起着重要作用。对150个用户的第二次调查着重于搜索过程中遇到的困难，得出了类似的结论。这些社交互动包括从具有共同目标的高度协调的协作到仅寻求建议的松散协调的协作。我们的主要贡献是，我们已经整合了先前在感官和信息寻求行为方面的工作模型，以呈现搜索情节之前，之中和之后的用户活动的规范社交模型，建议在搜索过程中的显式和隐式位置共享的信息可能对个人搜索者有价值。我们寻求在我们开发的社交搜索模型的背景下，将协作放在这些搜索事件中。我们讨论了在搜索活动中影响社交互动和内容共享的因素。我们还探讨了社交互动，动机和查询需求之间的关系。最后，我们介绍了第二次调查中关于困难和失败搜索工作的初步发现，并讨论了在搜索失败的情况下查询需求和社交互动可能有何不同。

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