Effects of Information Displays for Hyperlipidemia

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.

[1]  Michael May,et al.  Scale transformations and information presentation in supervisory control , 2006, Int. J. Hum. Comput. Stud..

[2]  Brenda Dervin,et al.  On studying information seeking methodologically: the implications of connecting metatheory to method , 1999, Inf. Process. Manag..

[3]  Robert J. K. Jacob,et al.  User interface , 2002 .

[4]  David Hemmendinger,et al.  Encyclopedia of computer science (4th ed.) , 2000 .

[5]  Kalervo Järvelin,et al.  Task complexity affects information seeking and use , 1995 .

[6]  Edwin Hutchins,et al.  Distributed Cognition in an Airline Cockpit , 1996 .

[7]  Jiajie Zhang,et al.  A representational analysis of relational information displays , 1996, Int. J. Hum. Comput. Stud..

[8]  D. Norman,et al.  A representational analysis of numeration systems , 1995, Cognition.

[9]  Vimla L. Patel,et al.  Designing Human-Centered Distributed Information Systems , 2002, IEEE Intell. Syst..

[10]  Paul N. Gorman,et al.  Information needs of physicians , 1995 .

[11]  Tefko Saracevic,et al.  Modeling Interaction in Information Retrieval (IR): A Review and Proposal. , 1996 .

[12]  Gary Marchionini,et al.  Interfaces for end‐user information seeking , 1992 .

[13]  W R Hersh,et al.  How well do physicians use electronic information retrieval systems? A framework for investigation and systematic review. , 1998, JAMA.

[14]  E. Hutchins Cognition in the wild , 1995 .

[15]  Anthony J. Hornof,et al.  Cognitive Strategies for the Visual Search of Hierarchical Computer Displays , 2004, Hum. Comput. Interact..

[16]  Stephen B. Johnson,et al.  Accessing Heterogeneous Sources of Evidence to Answer Clinical Questions , 2001, J. Biomed. Informatics.

[17]  Jiajie Zhang,et al.  A Human-Centered Design and Evaluation Framework for Information Search , 2005, AMIA.

[18]  S S Stevens,et al.  On the Theory of Scales of Measurement. , 1946, Science.

[19]  Anthony Ralston,et al.  Encyclopedia of Computer Science , 1971 .

[20]  J. Porac,et al.  Cognition and Communication at Work , 1999 .

[21]  David Ellis,et al.  A Comparison of the Information seeking Patterns of researchers in the Physical and Social Sciences , 1993, J. Documentation.

[22]  Charles G. Martin,et al.  Influence of data display formats on physician investigators' decisions to stop clinical trials: prospective trial with repeated measures , 1999, BMJ.

[23]  DervinBrenda On studying information seeking methodologically , 1999 .

[24]  P. Gorman Excellent information is needed for excellent care, but so is good communication. , 2000, The Western journal of medicine.

[25]  Jennifer Hardy,et al.  Communication loads on clinical staff in the emergency department , 2002, The Medical journal of Australia.

[26]  Donald A. Norman,et al.  Things That Make Us Smart: Defending Human Attributes In The Age Of The Machine , 1993 .