title: Evaluating eyegaze targeting to improve mouse pointing for radiology tasks.
abstract: In current radiologists' workstations, a scroll mouse is typically used as the primary input device for navigating image slices and conducting operations on an image. Radiological analysis and diagnosis rely on careful observation and annotation of medical images. During analysis of 3D MRI and CT volumes, thousands of mouse clicks are performed everyday, which can cause wrist fatigue. This paper presents a dynamic control-to-display (C-D) gain mouse movement method, controlled by an eyegaze tracker as the target predictor. By adjusting the C-D gain according to the distance to the target, the mouse click targeting time is reduced. Our theoretical and experimental studies show that the mouse movement time to a known target can be reduced by up to 15%. We also present an experiment with 12 participants to evaluate the role of eyegaze targeting in the realistic situation of unknown target positions. These results indicate that using eyegaze to predict the target position, the dynamic C-D gain method can improve pointing performance by 8% and reduce the error rate over traditional mouse movement.
authors.affiliation: School of Computing Science, Simon Fraser University, 8888 University Drive, Burnaby, BC, V5A 1S6, Canada. yta19@cs.sfu.ca
authors.forename: Yan
authors.initials: Y
authors.lastname: Tan
authors.forename: Geoffrey
authors.initials: G
authors.lastname: Tien
authors.forename: Arthur E
authors.initials: AE
authors.lastname: Kirkpatrick
authors.forename: Bruce B
authors.initials: BB
authors.lastname: Forster
authors.forename: M Stella
authors.initials: MS
authors.lastname: Atkins
mesh_terms: D017076:Computer-Aided Design; D006801:Humans; D009784:Occupational Diseases / Q000517:prevention & control; D009790:Occupations; D011871:Radiology; D014954:Wrist Injuries / Q000517:prevention & control