日常搜索策略的转变:在跨应用交互搜索过程中

Jing Chen, Hong-Lin Chen, Yingyun Li
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引用次数: 1

摘要

跨应用互动搜索已成为新常态,但其策略转变的特点尚不明确。本研究考察了跨应用交互搜索过程中日常搜索策略的转变。设计/方法/方法总共收集了204名年轻参与者在真实日常情况下令人印象深刻的跨应用搜索体验。通过开放编码得到搜索策略及其搜索过程中的策略转换序列。采用统计分析和序列分析的方法,分析了战术转换的频率和概率,以及代表战术转换发生在开始、中期和结束阶段特征的战术转换序列。创建搜索语句(create)、评估搜索结果(EvalR)、评估单个项目(EvalI)和保存记录(Rec)是最常用的策略。不同战术类型之间的转换频率和概率存在显著差异。“创造?EvalR吗?EvalI吗?“Rec”是典型路径;启动搜索的各种方式和修改搜索语句在开始阶段被突出显示;迭代地创建搜索语句在中间阶段突出显示;最后强调信息的利用和反馈。原创性/价值本研究为跨应用交互环境下的策略转换提供了新的视角,以探索信息搜索行为。本研究结果为优化APP查询、浏览和监控系统提供了有针对性的建议。
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Transitions in daily search tactics: during the cross-app interaction search process
PurposeCross-app interactive search has become the new normal, but the characteristics of their tactic transitions are still unclear. This study investigated the transitions of daily search tactics during the cross-app interaction search process.Design/methodology/approachIn total, 204 young participants' impressive cross-app search experiences in real daily situations were collected. The search tactics and tactic transition sequences in their search process were obtained by open coding. Statistical analysis and sequence analysis were used to analyze the frequently applied tactics, the frequency and probability of tactic transitions and the tactic transition sequences representing characteristics of tactic transitions occurring at the beginning, middle and ending phases. FindingsCreating the search statement (Creat), evaluating search results (EvalR), evaluating an individual item (EvalI) and keeping a record (Rec) were the most frequently applied tactics. The frequency and probability of transitions differed significantly between different tactic types. “Creat? EvalR? EvalI? Rec” is the typical path; Initiate the search in various ways and modifying the search statement were highlighted at the beginning phase; iteratively creating the search statement is highlighted in the middle phase; Moreover, utilization and feedback of information are highlighted at the ending phase. Originality/valueThe present study shed new light on tactic transitions in the cross-app interactive environment to explore information search behaviour. The findings of this work provide targeted suggestions for optimizing APP query, browsing and monitoring systems.
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