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A New Integrated Model for Multitasking during Web Searching

机译:Web搜索期间多任务处理的新集成模型

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There have been many studies in the field of information behavior. Recently Du and Spink (2011) presented a model, which simulates multitasking, cognitive coordination and cognitive shifts on web. However, this model does not incorporate personal variables and the impact of task or web design. This research addresses this gap. Information and psychological scientists have shown that information behavior (IR) is affected by: the affective domain, cognitive attributes, psychological factors, personality dimensions and sociological factors. This study investigates how IR is affected by working memory (wm), cognitive coordination, cognitive shifts and various artifacts and task variables influenced by the PAT model (Personal, Artifact and Task characteristics) of flow. The research is exploratory and takes a pragmatic, mixed method approach. Thirty University students will participate. The research tools include: pre and post questionnaires, working memory tests, Flow State Scale test, think aloud data, observations, audio-visual data, web search logs and use of the Critical Decision Method. The qualitative data will be coded and analyzed thematically and will be related to the quantitative data. This study is expected to identify the impact of all these variables on multitasking IR in the web and provide a new integrated framework, which is not only going to help information scientists to better understand this behavior but also web companies to develop more effective web products.
机译:在信息行为领域已有许多研究。最近,Du和Spink(2011)提出了一个模型,该模型可以模拟网络上的多任务处理,认知协调和认知转移。但是,此模型未包含个人变量以及任务或网页设计的影响。这项研究解决了这一差距。信息和心理学家的研究表明,信息行为(IR)受以下因素影响:情感领域,认知属性,心理因素,人格维度和社会学因素。这项研究调查了IR如何受工作记忆(wm),认知协调,认知转移以及受流程PAT模型(个人,伪像和任务特征)影响的各种伪像和任务变量的影响。该研究是探索性的,采用务实的混合方法方法。 30名大学学生将参加。研究工具包括:问卷调查前后,工作记忆测试,流动状态量表测试,大声思考数据,观察结果,视听数据,网络搜索日志以及关键决策方法的使用。定性数据将按主题进行编码和分析,并将与定量数据相关。预期该研究将确定所有这些变量对Web中多任务IR的影响,并提供一个新的集成框架,这不仅将帮助信息科学家更好地了解这种行为,而且还将帮助Web公司开发更有效的Web产品。

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