Literature DB >> 12463945

The cognitive demands of an innovative query user interface.

Di Wang1, David R Kaufman, Eneida A Mendonca, Yoon-Hu Seol, Stephen B Johnson, James J Cimino.   

Abstract

Too often, online searches for health information are time consuming and produce results that are not sufficiently precise to answer clinicians' or patients' questions. The PERSIVAL project is designed to circumvent this problem by personalizing and tailoring searches and presentation to the demands of the user and the particular clinical context. This paper focuses on a cognitive evaluation of one component of this project, a Query User Interface (QUI). The study examines the system's ability to allow users to easily and intuitively express their information needs. We performed several analyses including a cognitive walkthrough of the interface and quantitative estimations of cognitive load. The paper also presents a preliminary analysis of usability testing. The analyses suggest that there are features in the QUI that contribute to a greater cognitive load and result in greater effort on the part of the subject. The results of usability testing are consistent with these findings. However, subjects found it to be relatively easy and intuitive to generate well-formed queries using the interface. This study contributed to the iterative design of the interface and to the next generation of the PERSIVAL system.

Entities:  

Mesh:

Year:  2002        PMID: 12463945      PMCID: PMC2244191     

Source DB:  PubMed          Journal:  Proc AMIA Symp        ISSN: 1531-605X


  4 in total

1.  Filtering Web pages for quality indicators: an empirical approach to finding high quality consumer health information on the World Wide Web.

Authors:  S L Price; W R Hersh
Journal:  Proc AMIA Symp       Date:  1999

Review 2.  A primer on aspects of cognition for medical informatics.

Authors:  V L Patel; J F Arocha; D R Kaufman
Journal:  J Am Med Inform Assoc       Date:  2001 Jul-Aug       Impact factor: 4.497

3.  The well-built clinical question: a key to evidence-based decisions.

Authors:  W S Richardson; M C Wilson; J Nishikawa; R S Hayward
Journal:  ACP J Club       Date:  1995 Nov-Dec

4.  Information needs in office practice: are they being met?

Authors:  D G Covell; G C Uman; P R Manning
Journal:  Ann Intern Med       Date:  1985-10       Impact factor: 25.391

  4 in total
  4 in total

1.  Voice capture of medical residents' clinical information needs during an inpatient rotation.

Authors:  Herbert S Chase; David R Kaufman; Stephen B Johnson; Eneida A Mendonca
Journal:  J Am Med Inform Assoc       Date:  2009-03-04       Impact factor: 4.497

2.  Research-IQ: development and evaluation of an ontology-anchored integrative query tool.

Authors:  Tara B Borlawsky; Omkar Lele; Philip R O Payne
Journal:  J Biomed Inform       Date:  2011-07-29       Impact factor: 6.317

Review 3.  Facilitating biomedical researchers' interrogation of electronic health record data: Ideas from outside of biomedical informatics.

Authors:  Gregory W Hruby; Konstantina Matsoukas; James J Cimino; Chunhua Weng
Journal:  J Biomed Inform       Date:  2016-03-10       Impact factor: 6.317

4.  An automated approach for ranking journals to help in clinician decision support.

Authors:  Siddhartha R Jonnalagadda; Soheil Moosavinasab; Chinmoy Nath; Dingcheng Li; Christopher G Chute; Hongfang Liu
Journal:  AMIA Annu Symp Proc       Date:  2014-11-14
  4 in total

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