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Is Query Reuse Potentially Harmful? Anchoring and Adjustment in Adapting Existing Database Queries

机译:查询重用可能有害吗?调整现有数据库查询中的锚定和调整

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Reusing database queries by adapting them to satisfy new information requests is an attractive strategy for extracting information from databases without involving database specialists. However, the reuse of information systems artifacts has been shown to be susceptible to the phenomenon of anchoring and adjustment. Anchoring often leads to a systematic adjustment bias in which people fail to make sufficient changes to an anchor in response to the needs of a new task. In a study involving 157 novice query writers from six universities, we examined the effect of this phenomenon on the reuse of Structured Query Language (SQL) queries under varying levels of domain familiarity and for different types of anchors. Participants developed SQL queries to respond to four information requests in a familiar domain and four information requests in an unfamiliar domain. For two information requests in each domain, participants were also provided with sample queries (anchors) that answered similar information requests. We found evidence that the opportunity to reuse sample queries resulted in an adjustment bias leading to poorer quality query results and greater overconfidence in the correctness of results. The results also indicate that the strength of the adjustment bias depends on a combination of domain familiarity and type of anchor. This study demonstrates that anchoring and adjustment during query reuse can lead to queries that are less accurate than those written from scratch. We also extend the concept of anchoring and adjustment by distinguishing between surface-structure and deep-structure anchors and by considering the impact of domain familiarity on the adjustment bias.
机译:通过使数据库查询适应新的需求来重用数据库查询是从数据库中提取信息而无需数据库专家参与的一种有吸引力的策略。但是,信息系统工件的重用已显示容易受到锚定和调整现象的影响。锚定通常会导致系统的调整偏见,即人们无法根据新任务的需要对锚点进行足够的更改。在一项涉及来自六所大学的157名新手查询作者的研究中,我们研究了此现象对不同领域熟悉程度和不同锚类型下结构化查询语言(SQL)查询重用的影响。参与者开发了SQL查询,以响应熟悉域中的四个信息请求和陌生域中的四个信息请求。对于每个域中的两个信息请求,还为参与者提供了示例查询(锚),它们回答了类似的信息请求。我们发现有证据表明,重用样本查询的机会导致调整偏差,从而导致质量较差的查询结果和对结果正确性的过度自信。结果还表明,调整偏倚的强度取决于领域熟悉程度和锚类型。这项研究表明,在查询重用期间进行锚定和调整会导致查询的准确性不如从头开始编写的查询。通过区分表面结构锚和深结构锚,并考虑域熟悉度对调整偏差的影响,我们还扩展了锚定和调整的概念。

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