scholarly journals What Do Physicians Read (and Ignore) in Electronic Progress Notes?

2014 ◽  
Vol 05 (02) ◽  
pp. 430-444 ◽  
Author(s):  
J.L. Marquard ◽  
B. Amster ◽  
M. Romoser ◽  
J. Friderici ◽  
S. Goff ◽  
...  
Keyword(s):  
Visual Attention ◽  
Eye Tracking ◽  
Visual Analysis ◽  
Vital Signs ◽  
Patient Data ◽  
Progress Notes ◽  
Clinical Document ◽  
Laboratory Results ◽  
Tracking Device ◽  
Study Participants

Summary Objective: Several studies have documented the preference for physicians to attend to the impression and plan section of a clinical document. However, it is not clear how much attention other sections of a document receive. The goal of this study was to identify how physicians distribute their visual attention while reading electronic notes. Methods: We used an eye-tracking device to assess the visual attention patterns of ten hospitalists as they read three electronic notes. The assessment included time spent reading specific sections of a note as well as rates of reading. This visual analysis was compared with the content of simulated verbal handoffs for each note and debriefing interviews. Results: Study participants spent the most time in the “Impression and Plan” section of electronic notes and read this section very slowly. Sections such as the “Medication Profile”, “Vital Signs” and “Laboratory Results” received less attention and were read very quickly even if they contained more content than the impression and plan. Only 9% of the content of physicians’ verbal handoff was found outside of the “Impression and Plan.” Conclusion: Physicians in this study directed very little attention to medication lists, vital signs or laboratory results compared with the impression and plan section of electronic notes. Optimizing the design of electronic notes may include rethinking the amount and format of imported patient data as this data appears to largely be ignored. Citation: Brown PJ, Marquard JL, Amster B, Romoser M, Friderici J, Goff S, Fisher D. What do physicians read (and ignore) in electronic progress notes? Appl Clin Inf 2014; 5: 430–444 http://dx.doi.org/10.4338/ACI-2014-01-RA-0003

Understanding Consumer Behavior Through Eye-Tracking

2020 ◽  
pp. 65-81
Author(s):  
H. Serhat Cerci ◽  
A. Selcuk Koyluoglu
Keyword(s):  
Consumer Behavior ◽  
Visual Attention ◽  
Eye Tracking ◽  
Future Research ◽  
Experimental Laboratory ◽  
The Individual ◽  
Tracking Device ◽  
Tracking Module ◽  
Individual Examination

The purpose of this chapter, which is designed to measure where and how the consumer focuses in an advertising brochure, which visual is more striking, and how much eye strain (twitch) it takes, is to measure the density and visual attention of the eyes through the eye-tracking device during the individual examination. For this study, an experimental laboratory for neuromarketing research was used. After watching the videos and images of the participants in the eye-tracking module, the general evaluations were taken to determine what they remembered, and a comparison opportunity was born. According to the findings, logos, and photographs are more effective than texts. Viewers read large text and skip small text. Suggestions for future research are presented in the chapter.

scholarly journals Visual attention during the evaluation of facial attractiveness is influenced by facial angles and smile

2018 ◽  
Vol 88 (3) ◽  
pp. 329-337 ◽  
Author(s):  
Seol Hee Kim ◽  
Soonshin Hwang ◽  
Yeon-Ju Hong ◽  
Jae-Jin Kim ◽  
Kyung-Ho Kim ◽  
...  
Keyword(s):  
Young Adults ◽  
Visual Attention ◽  
Eye Tracking ◽  
Eye Gaze ◽  
Facial Attractiveness ◽  
Fixation Time ◽  
Facial Esthetics ◽  
Attractive Face ◽  
Tracking Device ◽  
Face Task

ABSTRACT Objective: To examine the changes in visual attention influenced by facial angles and smile during the evaluation of facial attractiveness. Materials and Methods: Thirty-three young adults were asked to rate the overall facial attractiveness (task 1 and 3) or to select the most attractive face (task 2) by looking at multiple panel stimuli consisting of 0°, 15°, 30°, 45°, 60°, and 90° rotated facial photos with or without a smile for three model face photos and a self-photo (self-face). Eye gaze and fixation time (FT) were monitored by the eye-tracking device during the performance. Participants were asked to fill out a subjective questionnaire asking, “Which face was primarily looked at when evaluating facial attractiveness?” Results: When rating the overall facial attractiveness (task 1) for model faces, FT was highest for the 0° face and lowest for the 90° face regardless of the smile (P < .01). However, when the most attractive face was to be selected (task 2), the FT of the 0° face decreased, while it significantly increased for the 45° face (P < .001). When facial attractiveness was evaluated with the simplified panels combined with facial angles and smile (task 3), the FT of the 0° smiling face was the highest (P < .01). While most participants reported that they looked mainly at the 0° smiling face when rating facial attractiveness, visual attention was broadly distributed within facial angles. Conclusions: Laterally rotated faces and presence of a smile highly influence visual attention during the evaluation of facial esthetics.

scholarly journals Gender differences: visual attention and attitude toward advertisements

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Juliana Cristina Boscolo ◽  
Jorge Henrique Caldeira Oliveira ◽  
Vishwas Maheshwari ◽  
Janaina de Moura Engracia Giraldi
Keyword(s):  
Gender Differences ◽  
Visual Attention ◽  
Eye Tracking ◽  
Content Type ◽  
Print Advertisements ◽  
Significant Difference ◽  
Quota Sampling ◽  
Tracking Device ◽  
Insight Into ◽  
Structured Questionnaire

PurposeThis study examines the differences between genders in visual attention and attitudes toward different types of advertisements.Design/methodology/approachAn experimental design using a structured questionnaire and six print advertisements with a male, female and neutral focus was used to evaluate gender differences. In total, 180 students from a public university in Brazil participated in the study. An eye-tracking device was employed, using the Tobii Studio software, to get the visual attention metrics for this study.FindingsIn the case of the female advertisements, no significant difference between visual attention and attitude was found; however, differences were found in the case of male visual attention to the image and their relative attitudes toward the advertisements.Research limitations/implicationsBecause it is a laboratory experiment using quota sampling, mainly Latin consumers, the potential for broader generalization may be limited. Besides, since they are real image advertisement images, there may be some interference in the respondents' responses from previous interactions with the brand or product exposed or even from a prior observation of this advertisement.Originality/valueThis study provides deeper insight into Latin consumers' preferences and associations, who have a different cultural and national context. This study contributes to the use of the eye-tracking tool as a neuromarketing technique to evaluate and analyze visual attention.

scholarly journals Effect of Monitor Placement on Situational Awareness and Visual Attention in Simulated Neonatal Resuscitations

2018 ◽  
Vol 23 (suppl_1) ◽  
pp. e28-e29
Author(s):  
Brenda Hiu Yan Law ◽  
Po-Yin Cheung ◽  
Sylvia van Os ◽  
Caroline Fray ◽  
Georg Schmölzer
Keyword(s):  
Visual Attention ◽  
Eye Tracking ◽  
Situation Awareness ◽  
Neonatal Intensive Care ◽  
Situational Awareness ◽  
Assessment Tool ◽  
Vital Signs ◽  
Neonatal Resuscitation ◽  
User Preference ◽  
And Performance

Abstract BACKGROUND Decision-making in neonatal resuscitation depends on clinical evaluation, oxygen saturation and heart-rate. However, the position of vital signs monitors varies between institutions and might lead to obstructed or difficult to see displays, which might affect Health Care Provider (HCP) performance. OBJECTIVES To compare Situation Awareness (SA), Neonatal Resuscitation (NRP) checklist score, Visual Attention (VA) and participant satisfaction during simulated neonatal resuscitations using two vital signs monitors locations. DESIGN/METHODS NRP-trained HCPs were recruited from a tertiary Neonatal Intensive Care Unit and randomized to either central (eye-level on the radiant warmer) or peripheral (left of the warmer) monitor placement. Following an orientation scenario, each HCP lead a resuscitation requiring intubation and chest compressions with a high-fidelity manikin (Newborn HAL, Gaumard Scientific, Miami, FL) and a standardized assistant. Each scenario was paused at 3 predetermined points and the HCP was asked 5 SA questions at each pause, per the Situation Awareness Global Assessment Tool (SAGAT) format. Simulations were video-recorded to analyze SAGAT responses and performance rating using a modified NRP checklist. VA was recorded using eye-tracking glasses (Tobii Pro, Tobii Technology Inc., Falls Church, VA) worn by participants. Statistical analysis was performed using Mann-Whitney U test. A post-simulation survey examined user preference. RESULTS We randomized 30 HCPs; all were analyzed for SA and NRP checklist scores. Twenty-two eye-tracking recordings were of sufficient quality and analyzed. SAGAT scores (median 11/15 vs. 12/15, p=0.52) and NRP Checklist Scores (median 46/50, p=0.75) were similar between groups. Distribution of VA was also similar in both groups. In the post-simulation survey, all HCPs found central monitor placement convenient, compared with only 8/15 in peripheral placement. CONCLUSION During simulated neonatal resuscitation, HCPs found central monitor placement more convenient. However, no differences in accuracy of situation awareness responses, NRP checklist scores, or visual attention were found. Hi-fidelity simulation, SAGAT, and eye-tracking can be used to evaluate physical ergonomics of neonatal resuscitation.

scholarly journals Eye Tracking the Visual Attention of Nurses Interpreting Simulated Vital Signs Scenarios: Mining Metrics to Discriminate Between Performance Level

2018 ◽  
Vol 48 (2) ◽  
pp. 113-124 ◽  
Author(s):  
Jonathan Currie ◽  
Raymond R. Bond ◽  
Paul McCullagh ◽  
Pauline Black ◽  
Dewar D. Finlay ◽  
...  
Keyword(s):  
Visual Attention ◽  
Eye Tracking ◽  
Vital Signs ◽  
Performance Level

scholarly journals Visual Attention Software: A New Tool for Understanding the “Subliminal” Experience of the Built Environment

2021 ◽  
Vol 11 (13) ◽  
pp. 6197
Author(s):  
Alexandros A. Lavdas ◽  
Nikos A. Salingaros ◽  
Ann Sussman
Keyword(s):  
Visual Attention ◽  
Eye Tracking ◽  
Wearable Sensors ◽  
Computer Gaming ◽  
Geometric Patterns ◽  
Relative Design ◽  
Fixation Points ◽  
High Degree ◽  
Artificial Intelligence Application ◽  
Intelligence Application

Eye-tracking technology is a biometric tool that has found many commercial and research applications. The recent advent of affordable wearable sensors has considerably expanded the range of these possibilities to fields such as computer gaming, education, entertainment, health, neuromarketing, psychology, etc. The Visual Attention Software by 3M (3M-VAS) is an artificial intelligence application that was formulated using experimental data from eye-tracking. It can be used to predict viewer reactions to images, generating fixation point probability maps and fixation point sequence estimations, thus revealing pre-attentive processing of visual stimuli with a very high degree of accuracy. We have used 3M-VAS software in an innovative implementation to analyze images of different buildings, either in their original state or photographically manipulated, as well as various geometric patterns. The software not only reveals non-obvious fixation points, but also overall relative design coherence, a key element of Christopher Alexander’s theory of geometrical order. A more evenly distributed field of attention seen in some structures contrasts with other buildings being ignored, those showing instead unconnected points of splintered attention. Our findings are non-intuitive and surprising. We link these results to both Alexander’s theory and Neuroscience, identify potential pitfalls in the software’s use, and also suggest ways to avoid them.

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