Conference proceeding
Communication Cost of Single-user Gesturing Tool in Laparoscopic Surgical Training
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, pp 1-12
02 May 2019
Abstract
Multi-user input over a shared display has been shown to support group process and improve performance. However, current gesturing systems for instructional collaborative tasks limit the input to experts and overlook the needs of novices in making references on a shared display. In this paper, we investigate the effects of a single-user gesturing tool on the communication between trainer and trainees in a laparoscopic surgical training. By comparing the communication structure and content between the trainings with and without the gesturing tool, we show that the communication becomes more imbalanced and the trainees become less active when using the single-user gesturing tool. Our findings highlight the needs to grant all parties the same level of access to a shared display and suggest further directions in designing a shared display for instructional collaborative tasks.
Metrics
Details
- Title
- Communication Cost of Single-user Gesturing Tool in Laparoscopic Surgical Training
- Creators
- Yuanyuan Feng - University of Maryland, Baltimore CountyKatie Li - Pomona CollegeAzin Semsar - University of Maryland, Baltimore CountyHannah McGowan - University of Maryland, Baltimore CountyJacqueline Mun - Vassar CollegeH. Reza Zahiri - Anne Arundel Medical CenterIvan George - Johns Hopkins UniversityAdrian Park - Anne Arundel Medical CenterAndrea Kleinsmith - University of Maryland, Baltimore CountyHelena M. Mentis - University of Maryland, Baltimore County
- Publication Details
- Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, pp 1-12
- Conference
- CHI '19: CHI Conference on Human Factors in Computing Systems
- Series
- ACM Conferences
- Publisher
- ACM
- Number of pages
- 12
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000474467907068
- Scopus ID
- 2-s2.0-85067617769
- Other Identifier
- 991021916914104721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Cybernetics
- Computer Science, Information Systems
- Computer Science, Theory & Methods