Doctors' online information needs, cognitive search strategies, and judgments of information quality and cognitive authority: How predictive judgments introduce bias into cognitive search models.
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| Title: | Doctors' online information needs, cognitive search strategies, and judgments of information quality and cognitive authority: How predictive judgments introduce bias into cognitive search models. |
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| Authors: | Hughes, Benjamin1 benjamin.hughes@alumni.esade.edu, Wareham, Jonathan1 wareham@acm.org, Joshi, Indra2 indrajoshi@hotmail.com |
| Source: | Journal of the American Society for Information Science & Technology. Mar2010, Vol. 61 Issue 3, p433-452. 20p. 3 Diagrams, 4 Charts. |
| Subjects: | Internet, Electronic information resources, Database searching, Information retrieval, Internet searching, Thematic analysis, Online information services, Electronic information resource searching, Web search engines |
| Abstract: | Literature examining information judgments and Internet search behaviors notes a number of major research gaps, including how users actually make these judgments outside of experiments or researcher-defined tasks, and how search behavior is impacted by a user's judgment of online information. Using the medical setting, where doctors face real consequences in applying the information found, we examine how information judgments employed by doctors to mitigate risk impact their cognitive search. Diaries encompassing 444 real clinical information search incidents, combined with semistructured interviews across 35 doctors, were analyzed via thematic analysis. Results show that doctors, though aware of the need for information quality and cognitive authority, rarely make evaluative judgments. This is explained by navigational bias in information searches and via predictive judgments that favor known sites where doctors perceive levels of information quality and cognitive authority. Doctors' mental models of the Internet sites and Web experience relevant to the task type enable these predictive judgments. These results suggest a model connecting online cognitive search and information judgment literatures. Moreover, this implies a need to understand cognitive search through longitudinal- or learning-based views for repeated search tasks, and adaptations to medical practitioner training and tools for online search. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of the American Society for Information Science & Technology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 48069482 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Doctors' online information needs, cognitive search strategies, and judgments of information quality and cognitive authority: How predictive judgments introduce bias into cognitive search models. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Hughes%2C+Benjamin%22">Hughes, Benjamin</searchLink><relatesTo>1</relatesTo><i> benjamin.hughes@alumni.esade.edu</i><br /><searchLink fieldCode="AR" term="%22Wareham%2C+Jonathan%22">Wareham, Jonathan</searchLink><relatesTo>1</relatesTo><i> wareham@acm.org</i><br /><searchLink fieldCode="AR" term="%22Joshi%2C+Indra%22">Joshi, Indra</searchLink><relatesTo>2</relatesTo><i> indrajoshi@hotmail.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+the+American+Society+for+Information+Science+%26+Technology%22">Journal of the American Society for Information Science & Technology</searchLink>. Mar2010, Vol. 61 Issue 3, p433-452. 20p. 3 Diagrams, 4 Charts. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Internet%22">Internet</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+information+resources%22">Electronic information resources</searchLink><br /><searchLink fieldCode="DE" term="%22Database+searching%22">Database searching</searchLink><br /><searchLink fieldCode="DE" term="%22Information+retrieval%22">Information retrieval</searchLink><br /><searchLink fieldCode="DE" term="%22Internet+searching%22">Internet searching</searchLink><br /><searchLink fieldCode="DE" term="%22Thematic+analysis%22">Thematic analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Online+information+services%22">Online information services</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+information+resource+searching%22">Electronic information resource searching</searchLink><br /><searchLink fieldCode="DE" term="%22Web+search+engines%22">Web search engines</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Literature examining information judgments and Internet search behaviors notes a number of major research gaps, including how users actually make these judgments outside of experiments or researcher-defined tasks, and how search behavior is impacted by a user's judgment of online information. Using the medical setting, where doctors face real consequences in applying the information found, we examine how information judgments employed by doctors to mitigate risk impact their cognitive search. Diaries encompassing 444 real clinical information search incidents, combined with semistructured interviews across 35 doctors, were analyzed via thematic analysis. Results show that doctors, though aware of the need for information quality and cognitive authority, rarely make evaluative judgments. This is explained by navigational bias in information searches and via predictive judgments that favor known sites where doctors perceive levels of information quality and cognitive authority. Doctors' mental models of the Internet sites and Web experience relevant to the task type enable these predictive judgments. These results suggest a model connecting online cognitive search and information judgment literatures. Moreover, this implies a need to understand cognitive search through longitudinal- or learning-based views for repeated search tasks, and adaptations to medical practitioner training and tools for online search. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of the American Society for Information Science & Technology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=48069482 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/asi.21245 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 20 StartPage: 433 Subjects: – SubjectFull: Internet Type: general – SubjectFull: Electronic information resources Type: general – SubjectFull: Database searching Type: general – SubjectFull: Information retrieval Type: general – SubjectFull: Internet searching Type: general – SubjectFull: Thematic analysis Type: general – SubjectFull: Online information services Type: general – SubjectFull: Electronic information resource searching Type: general – SubjectFull: Web search engines Type: general Titles: – TitleFull: Doctors' online information needs, cognitive search strategies, and judgments of information quality and cognitive authority: How predictive judgments introduce bias into cognitive search models. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hughes, Benjamin – PersonEntity: Name: NameFull: Wareham, Jonathan – PersonEntity: Name: NameFull: Joshi, Indra IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2010 Type: published Y: 2010 Identifiers: – Type: issn-print Value: 15322882 Numbering: – Type: volume Value: 61 – Type: issue Value: 3 Titles: – TitleFull: Journal of the American Society for Information Science & Technology Type: main |
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