Eye Tracking Search Patterns in Expert and Trainee Colonoscopists: A Novel Method of Assessing Endoscopic Competency?

2009 ◽  
Vol 69 (5) ◽  
pp. AB370
Author(s):  
Fernando Vilariño ◽  
Stephan Ameling ◽  
Gerard Lacey ◽  
Anarta Ghosh ◽  
Stephen Patchett ◽  
...  
Keyword(s):  
Eye Tracking ◽  
Search Patterns ◽  
Novel Method

scholarly journals “Seeing” Data Like an Expert: An Eye-Tracking Study Using Graphical Data Representations

2019 ◽  
Vol 18 (3) ◽  
pp. ar32 ◽  
Author(s):  
Joseph A. Harsh ◽  
Molly Campillo ◽  
Caylin Murray ◽  
Christina Myers ◽  
John Nguyen ◽  
...  
Keyword(s):  
Eye Tracking ◽  
Teaching And Learning ◽  
Scientific Information ◽  
Student Difficulties ◽  
Domain Specific ◽  
Making Sense ◽  
Search Patterns ◽  
Data Representations ◽  
Domain Specific Knowledge ◽  
Prior Literature

Given the centrality of data visualizations in communicating scientific information, increased emphasis has been placed on the development of students’ graph literacy—the ability to generate and interpret data representations—to foster understanding of domain-specific knowledge and the successful navigation of everyday life. Despite prior literature that identifies student difficulties and methods to improve graphing competencies, there is little understanding as to how learners develop these skills. To gain a better resolution of the cognitive basis by which individuals “see” graphs, this study uses eye tracking (ET) to compare the strategies of non–science undergraduates ( n = 9), early ( n = 7) and advanced ( n = 8) biology undergraduates, graduate students ( n = 6), and science faculty ( n = 6) in making sense of data displays. Results highlight variation in how individuals direct their attention (i.e., fixations and visual search patterns) when completing graph-based tasks as a function of science expertise. As research on the transition from novice to expert is crucially important in understanding how we might design curricula that help novices move toward more expert-like performance, this study has implications for the advancement of new strategies to aid the teaching and learning of data analysis skills.

ROBUST EYE TRACKING IN VIDEO SEQUENCE

2012 ◽  
Vol 21 (01) ◽  
pp. 1250012 ◽  
Author(s):  
HUCHUAN LU ◽  
SHIPENG LU ◽  
GANG YANG
Keyword(s):  
Eye Tracking ◽  
Visual Tracking ◽  
Video Sequence ◽  
Experimental Results ◽  
Video Sequences ◽  
Affine Manifold ◽  
Second Stage ◽  
Novel Method ◽  
Iris Center ◽  
Image Streams

In this paper, we present a novel method for eye tracking, in detail describing the eye contour and the visible iris center. Combining the IVT (Incremental Visual Tracking) tracker, the proposed online affine manifold model, in which the sequentially learning shape and texture are modeled in the first stage and noniterative recovering estimation in the second stage, tracks the eye contour in video sequences. After that, an adaptive black round mask is generated to match the visible iris center. Experimental results of eye tracking indicate that our tracker works well in the PC or domestic camera captured image streams with considerable head and eyeball rotation.

Detection of third and sixth cranial nerve palsies with a novel method for eye tracking while watching a short film clip

Research ◽  
2015 ◽  
Vol 2 ◽  
Author(s):  
U Samadani ◽  
S Farooq ◽  
R Ritlop ◽  
F Warren ◽  
M Reyes ◽  
...  
Keyword(s):  
Eye Tracking ◽  
Cranial Nerve ◽  
Short Film ◽  
Film Clip ◽  
Sixth Cranial Nerve ◽  
Cranial Nerve Palsies ◽  
Novel Method

Analyzing Visual Search Techniques using Eye Tracking for a Computerized Provider Order Entry (CPOE) Task

2017 ◽  
Vol 61 (1) ◽  
pp. 691-695
Author(s):  
Kylie M. Gomes ◽  
Sara L. Riggs
Keyword(s):  
Visual Search ◽  
Eye Tracking ◽  
Search Strategy ◽  
Healthcare Professionals ◽  
Alternative Methods ◽  
Order Entry ◽  
Patient Identification ◽  
Computerized Provider Order Entry ◽  
Search Patterns ◽  
Tracking Technology

A challenge with current Computerized Provider Order Entry (CPOE) systems includes patient identification errors, i.e. when an incorrect patient’s record is referenced. These types of errors can lead to patient safety issues such as administrating medication to the incorrect patient. Eye tracking technology can provide insights into the visual search patterns of healthcare professionals and shed light on how patient identification errors occur. This study investigates whether there are differences in visual search metrics, response time, and accuracy when searching for a patient by two identifiers – name or date of birth – from a list of patients with similar names. The findings revealed there was no effect of search strategy on speed or accuracy; however, there was an effect on fixation duration and number of fixations within specific areas of interest. Across both search strategies, there were more fixations on names. This demonstrates the importance of a patient’s name regardless of search strategy and is an important consideration to take into account if multiple patients share the same name. This study shows that eye tracking technology can be used to investigate the visual search patterns employed during patient identification and provide insights as to how patient identification errors occur. It also demonstrates a need to develop alternative methods to prevent patient identification errors apart from relying on healthcare professionals to verify patient identity.

scholarly journals Still Searching or Have You Found It Already? – Usability and Web Design of an Educational Website

2018 ◽  
Vol 9 (1) ◽  
pp. 19-30 ◽  
Author(s):  
Julia Lamberz ◽  
Thorsten Litfin ◽  
Özlem Teckert ◽  
Gunther Meeh-Bunse
Keyword(s):  
Eye Tracking ◽  
Web Design ◽  
Test Group ◽  
Educational Institute ◽  
Search Patterns ◽  
Search Field ◽  
Task Oriented ◽  
Web Designers ◽  
Tracking Technology ◽  
Selection Of

Abstract Background: Apart from a straight-forward and intuitive operability an appealing design determines the success of a website equally well. For this reason, the selection of images and navigation bars plays a determining role. The eye tracking method proved to be appropriate in order to verify the usability of websites. Objectives: The aim of the study was to improve the usability of the website of an educational institute for trainees as target group. Methods/Approach: For this purpose, the use of an eye-tracking technology was combined with a survey. The eye-tracking study was implemented task-oriented. Test persons were asked to search for particular courses within this institute. Results: This approach in combination with a subsequent questionnaire resulted in tangible indications of search patterns of the test group. Furthermore, their perception and their appraisal of the usability as well as the web design was analysed. Even though most tasks were accomplished effectively and efficiently with a positive user feedback, a potential for improvement was detected, in particular with regard to the images and the location of the search field. Conclusions: The selected choice of methods enables researchers and web designers to derive recommendations for the orientation, structure, optimisation and comprehensibility of a website.

scholarly journals Identifying visual search patterns in eye gaze data; gaining insights into physician visual workflow

2016 ◽  
Vol 23 (6) ◽  
pp. 1180-1184 ◽  
Author(s):  
Allan Fong ◽  
Daniel J Hoffman ◽  
A Zachary Hettinger ◽  
Rollin J Fairbanks ◽  
Ann M Bisantz
Keyword(s):  
Visual Search ◽  
Eye Tracking ◽  
Health Information ◽  
Information Technologies ◽  
Tracking System ◽  
Specific Area ◽  
Search Pattern ◽  
First Order ◽  
Search Patterns ◽  
Search For Information

Abstract Importance and Objectives As health information technologies become more prevalent in physician workflow, it is increasingly important to understand how physicians are using and interacting with these systems. This includes understanding how physicians search for information presented through health information technology systems. Eye tracking technologies provide a useful technique to understand how physicians visually search for information. However, analyzing eye tracking data can be challenging and is often done by measuring summative metrics, such as total time looking at a specific area and first-order transitions. Methods In this paper, we propose an algorithmic approach to identify different visual search patterns. We demonstrate this approach by identifying common visual search patterns from physicians using a simulated prototype emergency department patient tracking system. Results and Conclusions We evaluate and compare the visual search pattern results to first-order transition results. We discuss the benefits and limitations of this approach and insights from this initial evaluation.

scholarly journals Assessing Map-Reading Skills Using Eye Tracking and Bayesian Structural Equation Modelling

2018 ◽  
Vol 10 (9) ◽  
pp. 3050 ◽  
Author(s):  
Weihua Dong ◽  
Yuhao Jiang ◽  
Liangyu Zheng ◽  
Bing Liu ◽  
Liqiu Meng
Keyword(s):  
Eye Tracking ◽  
Eye Movement ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Reading Skills ◽  
Spatial Information ◽  
Spatial Association ◽  
Map Reading ◽  
Equation Modelling ◽  
Novel Method

Map reading is an important skill for acquiring spatial information. Previous studies have mainly used results-based assessments to learn about map-reading skills. However, how to model the relationship between map-reading skills and eye movement metrics is not well documented. In this paper, we propose a novel method to assess map-reading skills using eye movement metrics and Bayesian structural equation modelling. We recruited 258 participants to complete five map-reading tasks, which included map visualization, topology, navigation, and spatial association. The results indicated that map-reading skills could be reflected in three selected eye movement metrics, namely, the measure of first fixation, the measure of processing, and the measure of search. The model fitted well for all five tasks, and the scores generated by the model reflected the accuracy and efficiency of the participants’ performance. This study might provide a new approach to facilitate the quantitative assessment of map-reading skills based on eye tracking.

Visual Search Strategies in Experienced and Inexperienced Gymnastic Coaches

2002 ◽  
Vol 95 (3) ◽  
pp. 901-902 ◽  
Author(s):  
F. J. Moreno ◽  
Raúl Reina ◽  
Vicente Luis ◽  
Rafael Sabido
Keyword(s):  
Visual Search ◽  
Eye Tracking ◽  
Tracking System ◽  
Search Strategies ◽  
Video Sequences ◽  
Novice Group ◽  
Search Patterns ◽  
Visual Fixations ◽  
Different Levels

The visual search strategies employed by gymnastic coaches with different levels of expertise were investigated. Expert ( n = 3) and novice coaches ( n = 3) watched 9 video sequences of 3 gymnastic techniques and were required to highlight errors in performance. Visual search patterns were monitored by an ASL-5000SE eye-tracking system during observation. Expert participants showed longer and fewer visual fixations than the novice group.

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