Things that make us smart: defending human attributes in the age of the machine
Things that make us smart: defending human attributes in the age of the machine
Task complexity affects information seeking and use
Information Processing and Management: an International Journal
A representational analysis of relational information displays
International Journal of Human-Computer Studies
Information Processing and Management: an International Journal - Special issue on Information Seeking In Context (ISIC)
Accessing heterogenous sources of evidence to answer clinical questions
Computers and Biomedical Research
Designing Human-Centered Distributed Information Systems
IEEE Intelligent Systems
Scale transformations and information presentation in supervisory control
International Journal of Human-Computer Studies
Cognitive strategies for the visual search of hierarchical computer displays
Human-Computer Interaction
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How information is distributed between internal and external representations significantly affects information search performance. For a distributed information search task, data representation and cognitive distribution jointly affect the user search performance in terms of response time and accuracy. Guided by UFuRT ( User, Function, Representation, Task), a human-centered framework, we propose a search model and task taxonomy. The model defines its application in the context of healthcare setting. The taxonomy clarifies the legitimate operations for each type of search task of relation data. We then developed experimental prototypes of hyperlipidemia data displays. Based on the displays, we tested the search tasks performance through two experiments. The experiments are of a within-subject design with a sample of 24 participants. The results in general support our hypothesesand validate the prediction of the model and task taxonomy.