The 3D Segmentation team at xREZ Art + Science Lab published their second paper this year, “Where Do Experts Look While Doing 3D Image Segmentation” at the 2016 Association for Computing Machinery’s (ACM) Symposium on Eye Tracking Research & Applications (ETRA), held March 14-17 in Charleston, South Carolina. The ACM published the paper to the ETRA 2016 symposium proceedings.

Anahita Sanandaji of Oregon State University, Ruth West of the University of North Texas, Cindy Grimm of Oregon State University, Max Parola of the University of North Texas, Meghan Kajihara of the University of North Texas, Jeremy Deutsch of the University of North Texas, Anne Carlew of the University of North Texas, and Deniece Yates of Oregon State University, authored the paper analyzing the way experts segment 3D data with the goal of updating existing segmentation tools to integrate human mental models and low-level perception tasks. The work introduces a coding scheme incorporating expert segmentation behavior and quantifying low-level actions and tasks during the segmentation of 3D images.

Sanandaji, A., Grimm, C., West, R., Parola, M., Kajihara, M., Deutsch, J., Carlew, A., and Yates, D. Where Do Experts Look While Doing 3D Image Segmentation. In ETRA ‘16 Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications, pp. 171-174. Association for Computing Machinery (2016).

ETRA 2016 Proceeding: http://dl.acm.org/citation.cfm?id=2857538

About ETRA

The Eye Tracking Research & Applications symposium is a gathering aimed at fostering an interdisciplinary environment for exploring eye movement research. Disciplines such as computer science, engineering, and behavioral science are brought together “in support of a common vision of moving eye tracking research and its application forward, and expanding its impact.”