Evaluating eyegaze targeting to improve mouse pointing for radiology tasks.

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 vo...

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Publicado en:Journal of Digital Imaging Vol. 24; no. 1; pp. 96 - 107
Autores principales: Tan Y, Tien G, Kirkpatrick A, Forster B, Atkins M
Formato: diagnostic images equations & formulas research tables/charts Journal Article
Publicado: Springer Nature Feb2011
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Feb2011
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      pub: Springer Nature
      place: New York, New York
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        atl: Evaluating eyegaze targeting to improve mouse pointing for radiology tasks.
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          Tan Y
          Tien G
          Kirkpatrick A
          Forster B
          Atkins M
        affil: School of Computing Science, Simon Fraser University, 8888 University Drive Burnaby V5A 1S6 Canada
      sug:
        subj:
          User-Computer Interface
          Radiography
          Eye Movements
          Human
          Evaluation Research
          Magnetic Resonance Imaging
          Questionnaires
          P-Value
          T-Tests
      ab: 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.
      pubtype: Academic Journal
      doctype:
        diagnostic images
        equations & formulas
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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