| 吴丹,孙国烨.生成式智能搜索结果可信度研究[J].中国图书馆学报,2023,49(6):51~67 |
| 生成式智能搜索结果可信度研究 |
| The Credibility of the Results of Generative Intelligent Search |
| 投稿时间：2023-07-24 |
| DOI： |
| 中文关键词: 生成式人工智能 信息检索 可信度 Microsoft Bing |
| 英文关键词: Generative AI Information retrieval Credibility Microsoft Bing |
| 基金项目: |
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| 摘要点击次数: 263 |
| 全文下载次数: 232 |
| 中文摘要: |
以ChatGPT为代表的生成式人工智能取得突破性进展,使生成式智能搜索在运行机制和结果呈现形式上与传统搜索引擎的差异更加显著,也使得生成式智能搜索这一新型搜索工具的结果可信度面临新的挑战。本研究以SOR模型为基础,基于可信度研究的成果和想象可供性理论,从用户信息获取的视角出发,运用卡片分类法和叙事研究法,通过生成式智能搜索典型代表New Bing开展实验,旨在厘清生成式智能搜索结果可信度从刺激、机体到反应的个体心理链路,探究其形成机理与影响因素。以生成式智能搜索结果界面的信息线索为外部刺激,以用户的内在感知和信任意愿为机体,将导致的用户情绪及行为作为反应,最终形成了生成式智能搜索可信度的SOR模型。对生成式智能搜索可信度的形成机理进行分析后认为,系统的研发者可以面向用户,根据使用体验催生的搜索需求,从内容整合性、问答交互性、工具拟人性三个维度出发,优化生成式智能搜索系统。图4。表2。参考文献54。
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| 英文摘要: |
Along with the breakthrough of generative AI represented by ChatGPT,generative intelligent search is more significantly different from traditional search engines in operating mechanism and result presentation form,which makes the credibility of the results of this new search tool face new challenges. Since users trust and willingness to accept generative intelligent search is particularly important,based on SOR model,combined with the results of credibility research and imagined affordances theory,this study focuses on the users,and makes up for the research gap on the credibility of generative intelligent search results from the perspective of individual information acquisition.
This study adopts card sorting and narrative research methods,and conducts experiments through New Bing,a typical representative of generative intelligent search,aiming to clarify the individual psychological link of the credibility of generative intelligent search results from stimulus,organism to response,and explore its formation mechanism and influencing factors.
First of all,this study summarizes three characteristic dimensions of generative intelligent search,which are content integration,question and answer interactivity,and tool imitation humanity.
Secondly,this study takes the information clues in the interface of generative intelligent search results as external stimuli,takes the users internal perception and trust willingness in three characteristic dimensions as the organism,and takes the users emotions and behaviors caused by credibility changes as responses,to form the SOR analytical framework of generative intelligent search credibility.
Subsequently,this study divided the elements of the search result interface of New Bing into seven types of information cue stimulus labels. Participants were asked to classify the cards corresponding to the clues into different trust perceptions,and answered which type of characteristic perception was stimulated by these clues,as well as whether they trusted New Bing or traditional search engines more in three characteristic perception dimensions. Participants were further asked to rank the degree to which three characteristic perceptions affected the credibility of search results,and to indicate how they would react when the credibility of a characteristic perception dimension was reduced.
Through research data analysis,this study identifies the information clues that have an impact on the credibility of search results,and which information cues stimulate each of the three characteristic perceptions. In addition,this study extracts the perception attributes corresponding to the three characteristic perception,and the user response caused by the reduction of credibility under each characteristic perception dimensionFinally,this study constructs a complete SOR model of generative intelligent search credibility. After a detailed analysis of the formation mechanism of generative intelligent search credibility,this study provides specific suggestions for system developers to optimize generative intelligent search system from three characteristic perception dimensions. 4 figs. 2 tabs. 54 refs.
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