research-article

Gaze behaviour of expert and novice microneurosurgeons differs during observations of tumor removal recordings

Authors:

Shahram Eivazi,

Roman Bednarik,

Markku Tukiainen,

Mikael von und zu Fraunberg,

Ville Leinonen,

Juha E. JääskeläinenAuthors Info & Claims

ETRA '12: Proceedings of the Symposium on Eye Tracking Research and Applications

Pages 377 - 380

https://doi.org/10.1145/2168556.2168641

Published: 28 March 2012 Publication History

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Abstract

Differences between visual attention strategies of experts and novices have been investigated in many fields, but little has been done in the field of microneurosurgery. In the hands of an experienced surgeon, microneurosurgery seems like an elegant, routine and clean procedure with minimal blood loss. However, microneurosurgery is a multifaceted task with clinical risks associated to surgeons' skills. In a preliminary study, eye movements of eight surgeons were recorded while observing four images representing four phases in a tumor removal surgery. A comparison of the eye movement strategies shows clear markers of expertise depending on the phase of the surgery.

References

[1]

Bednarik, R. 2012. Expertise-dependent visual attention strategies develop over time during debugging with multiple code representations. International Journal of Human-Computer Studies 70, 2, 143--155.

Digital Library

Google Scholar

[2]

Charness, N., Reingold, E., Pomplun, M., and Stampe, D. 2001. The perceptual aspect of skilled performance in chess: Evidence from eye movements. Memory & Cognition 29, 8, 1146--1152.

Crossref

Google Scholar

[3]

Eivazi, S., and Bednarik, R. 2011. Predicting Problem-Solving Behavior and Performance Levels from Visual Attention Data. In 2nd Workshop on Eye Gaze in Intelligent Human Machine Interaction at ACM IUI 2011, 9--16.

Google Scholar

[4]

Grober, E. D., Hamstra, S. J., Wanzel, K. R., Reznick, R. K., Matsumoto, E. D., Sidhu, R. S., and Jarvi, K. A. 2003. Validation of novel and objective measures of microsurgical skill: Hand-motion analysis and stereoscopic visual acuity. Microsurgery 23, 4, 317--322.

Crossref

Google Scholar

[5]

Kasarskis, P., Stehwien, J., Hickox, J., Aretz, A., and Wickens, C. 2001. Comparison of expert and novice scan behaviors during vfr flight. In Proceedings of the 11th International Symposium on Aviation Psychology.

Google Scholar

[6]

Law, B., Atkins, M. S., Kirkpatrick, A. E., and Lomax, A. J. 2004. Eye gaze patterns differentiate novice and experts in a virtual laparoscopic surgery training environment. In Proceedings of the 2004 symposium on Eye tracking research & applications, ACM, New York, NY, USA, ETRA '04, 41--48.

Digital Library

Google Scholar

[7]

Nodine, C. F., and Kundel, H. L. 1987. Using eye movements to study visual search and to improve tumor detection. Radiographics: a review publication of the Radiological Society of North America, Inc. 7, 6 (Nov.), 1241--1250.

Google Scholar

[8]

Richstone, L., Schwartz, M. J., Seideman, C., Cadeddu, J., Marshall, S., and Kavoussi, L. R. 2010. Eye metrics as an objective assessment of surgical skill. Annals of surgery 252, 1 (July), 177--182.

Crossref

Google Scholar

[9]

Salvucci, D. D., and Goldberg, J. H. 2000. Identifying fixations and saccades in eye-tracking protocols. In Proceedings of the 2000 symposium on Eye tracking research & applications, ACM, New York, NY, USA, ETRA '00, 71--78.

Digital Library

Google Scholar

[10]

Tien, G., Atkins, M. S., Zheng, B., and Swindells, C. 2010. Measuring situation awareness of surgeons in laparoscopic training. In Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications, ACM, New York, NY, USA, ETRA '10, 149--152.

Digital Library

Google Scholar

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Index Terms

Gaze behaviour of expert and novice microneurosurgeons differs during observations of tumor removal recordings
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction devices
      1. Touch screens

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Published In

ETRA '12: Proceedings of the Symposium on Eye Tracking Research and Applications

March 2012

420 pages

ISBN:9781450312219

DOI:10.1145/2168556

Conference Chairs:
Carlos H. Morimoto
University of São Paulo, Brazil
,
Howell Istance
Montfort University, UK
,
Editor:
Stephen N. Spencer
University of Washington
,
Program Chairs:
Jeffrey B. Mulligan
NASA
,
Pernilla Qvarfordt
FX Palo Alto

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 28 March 2012

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ETRA '12: Eye Tracking Research and Applications

March 28 - 30, 2012

California, Santa Barbara

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https://doi.org/10.1007/s13177-024-00457-6
Hassan SDe Lacerda Pataca CNourian LTigwell GDavis BSilver Wagman W(2024)Designing and Evaluating an Advanced Dance Video Comprehension Tool with In-situ Move Identification CapabilitiesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642710(1-19)Online publication date: 11-May-2024
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Eye gaze patterns differentiate novice and experts in a virtual laparoscopic surgery training environment

Gliding and saccadic gaze gesture recognition in real time

Vibrotactile stimulation of the head enables faster gaze gestures

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