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Proceedings Paper

Evaluating user interfaces for stack mode viewing
Author(s): M. Stella Atkins; Arthur E. Kirkpatrick; Adelle Knight; Bruce Forster
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Paper Abstract

The goal of this research was to evaluate two different stack mode layouts for 3D medical images - a regular stack mode layout where just the topmost image was visible, and a new stack mode layout, which included the images just before and after the main image. We developed stripped down user interfaces to test the techniques, and designed a look-alike radiology task using 3D artificial target stimuli implanted in the slices of medical image volumes. The task required searching for targets and identifying the range of slices containing the targets. Eight naive students participated, using a within-subjects design. We measured the response time and accuracy of subjects using the two layouts and tracked the eyegaze of several subjects while they performed the task. Eyegaze data was divided into fixations and saccades Subjects were 19% slower with the new stack layout than the standard stack layout, but 5 of the 8 subjects preferred the new layout. Analysis of the eyegaze data showed that in the new technique, the context images on both sides were fixated once the target was found in the topmost image. We believe that the extra time was caused by the difficulty in controlling the rate of scrolling, causing overshooting. We surmise that providing some contextual detail such as adjacent slices in the new stack mode layout is helpful to reduce cognitive load for this radiology look-alike task.

Paper Details

Date Published: 20 March 2007
PDF: 10 pages
Proc. SPIE 6515, Medical Imaging 2007: Image Perception, Observer Performance, and Technology Assessment, 65150A (20 March 2007); doi: 10.1117/12.707533
Show Author Affiliations
M. Stella Atkins, Simon Fraser Univ. (Canada)
Arthur E. Kirkpatrick, Simon Fraser Univ. (Canada)
Adelle Knight, Simon Fraser Univ. (Canada)
Bruce Forster, Univ. of British Columbia (Canada)

Published in SPIE Proceedings Vol. 6515:
Medical Imaging 2007: Image Perception, Observer Performance, and Technology Assessment
Yulei Jiang; Berkman Sahiner, Editor(s)

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