Affiliation:
1. University of Twente, The Netherlands
2. University of Auckland, New Zealand
3. Leiden University Medical Center, The Netherlands
Abstract
Visual search is a task that is performed in various application domains. The authors examine it in the domain of radiological analysis of 3D vascular images. They compare several major visualisations used in this domain, and study the possible benefits of automatic warning systems that highlight the sections that may contain visual targets and hence require the user’s attention. With help of a literature study, the authors present some theory about what result can be expected given the accuracy of a particular visual cue. They present the results of two experiments, in which they find that the Curved Planar Reformation visualisation, which presents a cross-section based on knowledge about the position of the blood vessel, is significantly more efficient than regular 3D visualisations, and that automatic warning systems that produce false alarms could work if they do not miss targets.
Reference27 articles.
1. Achenbach, S., Moshage, W., Ropers, D., & Bachmann, K. (1998). Curved multiplanar reconstructions for the evaluation of contrast-enhanced electron-beam CT of the coronary arteries. American Journal of Roentgenology. Retrieved from http://www.ajronline.org/content/170/4/895.full.pdf.
2. Bade, R., Ritter, F., & Preim, B. (2005). Usability comparison of mouse-based interaction techniques for predictable 3D rotation. In Proceedings of the 5th International Symposium on Smart Graphics: SG 2005, (pp. 138–150). Springer.
3. New Vessel Analysis Tool for Morphometric Quantification and Visualization of Vessels in CT and MR Imaging Data Sets
4. On the Independence of Compliance and Reliance: Are Automation False Alarms Worse Than Misses?
5. Age-Related Differences in Reliance Behavior Attributable to Costs Within a Human-Decision Aid System