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Usability Evaluation of the Spatial OLAP Visualization and Analysis Tool (SOVAT).

Matthew Scotch1, Bambang Parmanto2, Valerie Monaco3

  • 1Department of Biomedical Informatics, University of Pittsburgh, 200 Meyran Avenue, VALE M183, Pittsburgh, PA 15260 USA, scotch@cbmi.pitt.edu.

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|November 28, 2015
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Summary
This summary is machine-generated.

This study evaluated the usability of the Spatial OLAP Visualization and Analysis Tool (SOVAT) for community health assessments (CHA). Iterative improvements enhanced SOVAT

Keywords:
Community Health AssessmentGISOLAPPublic Health Informaticsdecision supporthuman-computer interactioninterface designthink-aloud protocolusability evaluation

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Area of Science:

  • Health Informatics
  • Geographic Information Systems
  • Data Analysis

Background:

  • Community health assessments (CHA) increasingly utilize advanced technologies like On-Line Analytical Processing (OLAP) and Geospatial Information Systems (GIS).
  • Limited understanding exists regarding the usability of OLAP and GIS interfaces specifically for CHA tasks.

Purpose of the Study:

  • To conduct an iterative usability evaluation of the Spatial OLAP Visualization and Analysis Tool (SOVAT), a combined OLAP-GIS software.
  • To identify and address usability issues in SOVAT for community health assessment applications.

Main Methods:

  • An iterative usability evaluation was performed on the SOVAT tool.
  • Think-aloud sessions were conducted with graduate students and community health researchers completing CHA tasks.
  • Interface modifications were implemented based on findings after every three participants.

Main Results:

  • Participants struggled with traditional OLAP interface features.
  • Combined OLAP-GIS functionalities required better emphasis within the SOVAT interface.
  • Iterative changes led to improved usability and user satisfaction with SOVAT.

Conclusions:

  • The usability of combined OLAP-GIS tools like SOVAT for CHA can be enhanced through iterative design and evaluation.
  • Addressing specific interface challenges, such as OLAP feature understanding and integrated functionality emphasis, is crucial for effective CHA technology adoption.