The impact of task complexity on people’s mental models of MedlinePlus

► Task complexity affects people’s representations and evaluations of IR systems. ► Task complexity affects people’s pragmatic knowledge of using IR systems. ► Concept listing method is efficient and effective in eliciting mental models. This study explored the impact of task complexity on people’s...

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Bibliographic Details
Published inInformation processing & management Vol. 48; no. 1; pp. 107 - 119
Main Author Zhang, Yan
Format Journal Article
LanguageEnglish
Published Kidlington Elsevier Ltd 2012
Elsevier
Elsevier Science Ltd
Subjects
Online AccessGet full text
ISSN0306-4573
1873-5371
DOI10.1016/j.ipm.2011.02.007

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Summary:► Task complexity affects people’s representations and evaluations of IR systems. ► Task complexity affects people’s pragmatic knowledge of using IR systems. ► Concept listing method is efficient and effective in eliciting mental models. This study explored the impact of task complexity on people’s mental models of MedlinePlus, an information-rich web space providing consumer health information to the general public. Thirty-eight subjects were randomly assigned to two groups, performing either simple or complex search tasks. After the search session, subjects’ perceptions of MedlinePlus were elicited using a concept listing protocol where subjects listed concepts concerning MedlinePlus in the order each concept occurred to them. The analysis of the concepts suggested that task complexity impacted subjects’ mental models by influencing the objects in the system that they perceived and represented, the specificity of the representations, their evaluations of and emotions about the objects, and the heuristics that they developed for what works and what does not in the system. The pragmatic aspect of mental models was represented by subjects’ descriptions of the steps that they would follow to tackle a hypothetical task. The analysis showed that task complexity affected the strategies that subjects perceived themselves using to solve new tasks using the system.
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ISSN:0306-4573
1873-5371
DOI:10.1016/j.ipm.2011.02.007