In this section

Human-Centred Automation, Robotics and Monitoring

We use perceptual methods, AI, and frugal robotics innovation to deliver transformative diagnostic and treatment solutions.

Head of Group

Dr George Mylonas

B415B Bessemer Building
South Kensington Campus

+44 (0)20 3312 5145

YouTube ⇒ HARMS Lab

What we do

The HARMS lab leverages perceptually enabled methodologies, artificial intelligence, and frugal innovation in robotics (such as soft surgical robots) to deliver transformative solutions for diagnosis and treatment. Our research is driven by both problem-solving and curiosity, aiming to build a comprehensive understanding of the actions, interactions, and reactions occurring in the operating room. We focus on using robotic technologies to facilitate procedures that are not yet widely adopted, particularly in endoluminal surgery, such as advanced treatments for gastrointestinal cancer.

Meet the team

Mr Amirhosein Alian
Research Postgraduate

Dr James P Avery
Honorary Lecturer

Mr Junhong Chen
Research Postgraduate

Mr Kaizhong Deng
Research Postgraduate

Mr Hanqi LOU
Research Postgraduate

Dr George Mylonas BEng, MSc, DIC, PhD
Senior Lecturer in Robotics and Technology in Cancer

Dr Adrian Rubio Solis
Research Associate in Sensing and Machine Learning

Dr Jianlin Yang
Research Associate

Mr Zhangxi Zhou
Research Postgraduate

Citation

BibTex format

@article{Ashraf:2017:10.1080/0142159X.2017.1391373,
author = {Ashraf, H and Sodergren, M and Merali, N and Mylonas, G and Singh, H and Darzi, A},
doi = {10.1080/0142159X.2017.1391373},
journal = {Medical Teacher},
pages = {62--69},
title = {Eye-tracking technology in medical education: A systematic review},
url = {http://dx.doi.org/10.1080/0142159X.2017.1391373},
volume = {40},
year = {2017}
}

Download

RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Background: Eye-tracking technology is an established research tool within allied industries such as advertising, psychology and aerospace. This review aims to consolidate literature describing the evidence for use of eye-tracking as an adjunct to traditional teaching methods in medical education.Methods: A systematic literature review was conducted in line with STORIES guidelines. A search of EMBASE, OVID MEDLINE, PsycINFO, TRIP database, and Science Direct was conducted until January 2017. Studies describing the use of eye-tracking in the training, assessment, and feedback of clinicians were included in the review.Results: Thirty-three studies were included in the final qualitative synthesis. Three studies were based on the use of gaze training, three studies on the changes in gaze behavior during the learning curve, 17 studies on clinical assessment and six studies focused on the use of eye-tracking methodology as a feedback tool. The studies demonstrated feasibility and validity in the use of eye-tracking as a training and assessment method.Conclusions: Overall, eye-tracking methodology has contributed significantly to the training, assessment, and feedback practices used in the clinical setting. The technology provides reliable quantitative data, which can be interpreted to give an indication of clinical skill, provide training solutions and aid in feedback and reflection. This review provides a detailed summary of evidence relating to eye-tracking methodology and its uses as a training method, changes in visual gaze behavior during the learning curve, eye-tracking methodology for proficiency assessment and its uses as a feedback tool.
AU  - Ashraf,H
AU  - Sodergren,M
AU  - Merali,N
AU  - Mylonas,G
AU  - Singh,H
AU  - Darzi,A
DO  - 10.1080/0142159X.2017.1391373
EP  - 69
PY  - 2017///
SN  - 0142-159X
SP  - 62
TI  - Eye-tracking technology in medical education: A systematic review
T2  - Medical Teacher
UR  - http://dx.doi.org/10.1080/0142159X.2017.1391373
UR  - http://hdl.handle.net/10044/1/54517
VL  - 40
ER  -