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Evaluating interaction techniques for stack mode viewing.

M Stella Atkins1, Jennifer Fernquist, Arthur E Kirkpatrick

  • 1School of Computing Science, Simon Fraser University, Burnaby, BC, V5A 1S6, Canada. stella@cs.sfu.ca

Journal of Digital Imaging
|July 24, 2008
PubMed
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Radiologists evaluated three scrolling techniques for volumetric data. While interaction methods affected navigation speed, most preferred familiar mouse controls, though some students favored a jog wheel.

Area of Science:

  • Medical Imaging
  • Human-Computer Interaction
  • Radiology

Background:

  • Volumetric data visualization in medical imaging requires efficient navigation techniques.
  • Stack mode displays are common for viewing volumetric data, such as MRI scans.
  • Evaluating user interaction for scrolling these displays is crucial for diagnostic efficiency.

Purpose of the Study:

  • To compare the effectiveness of three different interaction techniques for scrolling volumetric data in stack mode displays.
  • To assess the impact of these techniques on radiologist performance (speed, accuracy) and user preference.
  • To understand navigation strategies employed by radiologists when searching for abnormalities in medical images.

Main Methods:

  • A within-subjects study involving nine radiologists and eight students.

Related Experiment Videos

  • Evaluation of three scrolling techniques: scroll-wheel mouse (wheel only), scroll-wheel mouse (click and drag), and Shuttle Xpress jog wheel.
  • Participants searched for simulated hyper-intense regions in brain, knee, and thigh MR studies.
  • Dependent measures included speed, accuracy, navigation path, and user preference.

    • Main Results:

    • Significant differences in forward navigation rates were observed between techniques (click and drag fastest).
    • High inter-subject variability in completion times, exceeding differences between techniques.
    • Most radiologists (8/9) preferred familiar mouse-based techniques; a minority of students (3/8) preferred the jog wheel.
    • Participants generally used a two-pass scanning strategy: locate anomalies, then check for omissions.

    Conclusions:

    • While interaction techniques influence navigation speed, user preference and existing habits play a significant role in adoption.
    • Introducing novel techniques like the jog wheel during training may be beneficial for radiologists.
    • Providing multiple interaction options on workstations could cater to individual user preferences and improve workflow.