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Conference proceeding
Learning to see the body: supporting instructional practices in laparoscopic surgical procedures
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp 2113-2122
26 Apr 2014
Abstract
Learning the practices and the performance of physically manipulating instruments in minimally invasive surgeries is an impetus for the development of surgical training simulators. However, an often-overlooked aspect of surgical training is learning how to see the body through the various imaging mechanisms. With this study, we address the ways in which surgeons demonstrate and instruct residents in seeing the body during minimally invasive surgical procedures. Drawing on observations and analysis of video recordings of minimally invasive surgical operations, we examine how particular anatomy and movement within the body to see and conceptualize that anatomy are made visible by the instructive practices of the surgeon. We use these findings to discuss further directions for minimally invasive surgical training through mechanisms for making the body visible during situated surgical training and surgical training simulation systems.
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Details
- Title
- Learning to see the body
- Creators
- Helena M. Mentis - University of Maryland, Baltimore CountyAmine Chellali - Harvard UniversitySteven Schwaitzberg - Harvard University
- Publication Details
- Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp 2113-2122
- Conference
- CHI '14: CHI Conference on Human Factors in Computing Systems
- Series
- ACM Conferences
- Publisher
- ACM; NEW YORK
- Number of pages
- 10
- Grant note
- National Institute of Medicine: NIH NIBIB 2R01 EB005807-05A1, 1R01 EB010037-01, 1R01 EB009362-01A2, 1R01 EB014305-01A1
We thank the surgeons and staff for allowing us to observe their work and answer our questions. This work was partially supported by the National Institute of Medicine (NIH NIBIB 2R01 EB005807-05A1, 1R01 EB010037-01, 1R01 EB009362-01A2, 1R01 EB014305-01A1).
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000773858602022
- Scopus ID
- 2-s2.0-84900437303
- Other Identifier
- 991021916914404721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Cybernetics
- Computer Science, Theory & Methods
- Ergonomics