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作 者:陈明红[1] 徐玮婕 张玉子 韦芷晴 甄慧琳 李晶 CHEN Minghong;XU Weijie;ZHANG Yuzi
机构地区:[1]中山大学资讯管理学院,广州510006 [2]南京大学信息管理学院,南京210023 [3]中山大学中国语言文学系,广州510000 [4]中国人民大学信息资源管理学院,北京100872
出 处:《图书情报知识》2020年第4期8-18,共11页Documentation,Information & Knowledge
基 金:国家自然科学基金项目“基于HSM的移动互联网用户信息搜索行为研究”(71603295)的研究成果之一。
摘 要:[目的/意义]以启发式-系统式模型为基础,将时空限制与任务复杂度分别作为启发式与系统式线索构建理论模型,探究影响搜索结果的关键因素,并对比不同搜索设备的影响差异。[研究设计/方法]设计2(时空限制:强/弱)×2(任务复杂度:高/低)×2(搜索设备:只能用手机/手机和PC都可使用)的多因素实验,构造8个不同的搜索情境,将使用过手机搜索和PC搜索的200名在校大学生作为被试对象,探索不同搜索情境下启发式和系统式线索对搜索结果行为与结果的影响。[结论/发现]根据搜索用时长短将搜索行为划分为启发式和系统式搜索行为:对于启发式搜索行为,搜索结果匹配度仅受搜索时空限制影响;对于系统式搜索行为,搜索结果匹配度则同时受搜索时空限制和任务复杂度影响。此外,使用不同的搜索设备(只有手机可用、手机与PC都可用)时,时空限制和任务复杂度对搜索结果匹配度的影响存在差异。[创新/价值]揭示了启发式与系统式搜索行为模式以及两种行为的重要影响因素,有助于改进搜索产品与服务。[Purpose/Significance]Based upon the Heuristic-Systematic Model(HSM), this paper chose space-time limitation and task complexity as heuristic and systematic clues respectively to build a theoretical model and explore the impact factors of these two clues on search results. Then it compared the different effects of space-time limitation and task complexity on search results when using different search devices.[Design/Methodology]The paper designed a 2(space-time limitation: high vs.low) ×2(task complexity: high vs.low) ×2(search device: only mobile phone vs.both mobile phone and PC) multi-factor experiment and built eight different search situations. A total of 200 college students who have searched both by mobile and PC participated in the online experiment to investigate the influences of heuristic and systematic cues on search behaviors and results.[Findings/Conclusion]According to the length of search time, search behaviors were divided into heuristic and systematic behaviors. For the heuristic search behaviors, the match of search results was only affected by space-time limitation;and for the systematic search behaviors, both space-time limitation and task complexity had significant effects on the match of search results. In addition, the effects of space-time limitation and task complexity differ on the match of search results when using different search devices(e.g. the use of mobile phone and the use of both mobile phone and PC).[Originality/Value]This paper not only reveals heuristic and systematic models of search behaviors, but also discovers their influencing factors, which could help to improve search products and services.
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