iComp: a tool for scanpath visualization and comparison

ABSTRACT

To evaluate differences across viewers' visual attentional patterns, scanpath comparison has recently gained popularity in eye tracking studies, supplementing traditional objective (performance) and subjective measures (e.g., heat maps or [retrospective] talk-aloud). We introduce iComp, an open-source visualization tool that implements quantitative scanpath comparison in loci and sequence. iComp can be used to objectively compare the attentional qualities of synthetic images.

REFERENCES

• 1: Claudio M. Privitera , Lawrence W. Stark, Algorithms for Defining Visual Regions-of-Interest: Comparison with Eye Fixations, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.22 n.9, p.970-982, September 2000 [doi>10.1109/34.877520]
• 2: Anthony Santella , Doug DeCarlo, Robust clustering of eye movement recordings for quantification of visual interest, Proceedings of the 2004 symposium on Eye tracking research & applications, p.27-34, March 22-24, 2004, San Antonio, Texas [doi>10.1145/968363.968368]
• 3: Julia M. West , Anne R. Haake , Evelyn P. Rozanski , Keith S. Karn, eyePatterns: software for identifying patterns and similarities across fixation sequences, Proceedings of the 2006 symposium on Eye tracking research & applications, March 27-29, 2006, San Diego, California [doi>10.1145/1117309.1117360]

INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.3 COMPUTER GRAPHICS
      I.3.7 Three-Dimensional Graphics and Realism

Additional Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
        I.2.10 Vision and Scene Understanding
  I.4 IMAGE PROCESSING AND COMPUTER VISION
      I.4.8 Scene Analysis

General Terms:
Algorithms, Design