Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Measuring the Quality of Learning in a Human–Robot Collaboration

A Study of Laparoscopic Surgery

Bibliographic Data

ID22190848
AuthorsEléonore Ferrier-Barbut (0000-0003-2333-9317, Sorbonne Université), Philippe Gauthier (0000-0001-9807-5702, Université Paris Cité), Vanda Luengo (0000-0001-8978-0944, Sorbonne Université), Geoffroy Canlorbe (0000-0003-2653-4097, Université Paris Cité), Marie-Aude Vitrani (Sorbonne Université, Paris, France), Marie‐Aude Vitrani (0000-0002-2283-6170, Université Paris Cité)
Year2022
Volume11
Issue3
Pages1-20
Publication date2022-09-30
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueACM Transactions on Human-Robot Interaction (JOURNAL)
Journal identifiersISSN: 2573-9522 • E-ISSN: 2573-9522
PublisherAssociation for Computing Machinery (ACM) (PUBLISHER)
DOI10.1145/3476414
OpenAlexW3216582257
LanguageEN
References cited34

Robot-Assisted Laparoscopic Surgery (RALS) is now prevalent in operating rooms. This situation requires future surgeons to learn Classic Laparoscopic Surgery (CLS) and RALS simultaneously. Therefore, along with the investigation of the differences in performance between the two techniques, it is essential to study the impact of training in RALS on the skills mastered in CLS. In this article, we study comanipulated RALS (Co-RALS), one of the two designs for RALS, where the human and the robot share the execution of the task. We use a rarely used in Human–Robot Interaction measuring tool: gaze tracking and time recording to measure for the acquisition of skills in CLS when training in Co-RALS or in CLS and time recording to compare the learning curves between Co-RALS and CLS. These metrics allow us to observe differences in Co-RALS and CLS. Training in Co-RALS develops slightly better but not significantly better hand–eye coordination skills and significantly better timewise performance compared with training in CLS alone. Co-RALS enhances timewise performance in laparoscopic surgery on specific types of tasks that require precision rather than depth perception skills compared with CLS. The results obtained enable us to further define the Human–Robot Interaction quality in Co-RALS

General surgery · Human–computer interaction · Human–robot interaction · Laparoscopic surgery · Laparoscopy · Medical physics · Robot · Anatomy and Medical Technology · Computer Science · Medicine · Surgical Simulation and Training · Artificial Intelligence

  • Humans and Automation

    Open Access•Raja Parasuraman, Victor Riley•Human Factors: The Journal of the…•1997

  • Towards Effective Interface Designs for Collaborative HRI in Manufacturing

    Open Access•Jeremy A Marvel, Shelly Bagchi et al.•ACM Transactions on Human-Robot…•2020

  • Instructions in the operating room

    Open Access•L Mondada•Discourse Studies•2014

Citation velocityhistorical
Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae