Fixation Count Research Articles

Teachers' visual focus of attention in relation to students' basic academic skills and teachers' individual support for students: An eye-tracking study

This study investigated how teachers' visual focus of attention is associated with students' basic academic skills and teachers' individual support for students in basic academic skills in authentic classroom settings. Teachers' (N = 46) visual focus of attention in the classroom was measured with mobile eye-tracking, and students' (N = 879) literacy and math skills were tested in Grade 1. The results revealed that teachers' visual focus of attention in terms of fixation counts correlated with students' basic academic skills and teachers' individual support for students in literacy and math. Two case studies showed that teachers' visual focus of attention varied among students with different teacher-reported individual support. It might indicate that the number of students with high teacher individual support in the classroom could influence how evenly teachers are able to distribute their attention. The practical implications of our findings suggest that it is essential to ensure the appropriate distribution of students who require greater individual support so these students can receive more of the teachers' visual focus of attention in the classrooms.

Eye-movement patterns during emotion recognition in focal epilepsy: An exploratory investigation

BackgroundEye-movement patterns during facial emotion recognition are under-researched in patients with focal epilepsy (PWFE). Previous studies including other neurological patients indicate that bilateral mesiotemporal damage could be associated with impaired emotion recognition and abnormal eye-movement patterns. AimsThe current study addresses the question whether PWFE, in whom fronto-(mesio-)temporal networks are often disturbed, also show abnormal eye-movement patterns during facial emotion recognition. Method24 PWFE and a group of 29 healthy controls (HC) performed a facial emotion recognition task and a gender recognition task while eye movements were recorded with an eye-tracker. For this purpose, Areas of Interest (AOI) were defined in the presented faces: the eye region and the mouth region. In addition to the proportion of correctly recognized emotions, the following eye-tracking parameters were recorded: Relative fixation duration (FD)/fixation count (FC) in the mouth region/eye region (relative to the FD/FC on the entire screen). ResultsPFWE showed an emotion recognition deficit compared to HC, whereas gender recognition performance did not differ between groups. In addition, PWFE showed significantly fewer and shorter fixations in the mouth region than HC, in both the emotion recognition task and the gender recognition task. ConclusionsWhen looking at faces, PFWE show eye-movement patterns different from those of healthy controls. Behaviorally, PWFE are only impaired in emotion recognition. Hence, PWFE possibly scan facial regions that are relevant to successful emotion recognition more diffusely and less efficiently than healthy control subjects. Future studies should investigate the etiology of such abnormal eye-movement patterns in PWFE.

How usable is Coursera? A usability analysis through eye-tracking and authentic tasks

Massive Open Online Courses (MOOCs) are considered learning environments that eliminate many learning barriers. Online courses in MOOCs have become an opportunity for everyone during the lockdown of the COVID-19 outbreak. However, usability issues may cause problems such as high dropout rates and lack of learner's motivation. Therefore, in this study, the usability of Coursera, one of the most known MOOCs in the world, was evaluated. The evaluation was performed with ISO 9241-11 standard. The environment's effectiveness, efficiency, and satisfaction were evaluated with the authentic tasks requested to be done in Coursera. Additionally, the findings were supported by eye-tracking metrics such as fixation duration, fixation counts, heat maps, and gaze plots. Twelve individuals (six females, six males) participated in the authentic tasks, and three individuals (two females, one male) participated in the eye-tracking phase. Results of the study revealed that most participants successfully performed the authentic tasks and are generally satisfied with the usability of the environment. However, considering eye-tracking findings and Coursera Usage Satisfaction Survey, some usability problems such as inadequate language support and the difficulty of using the search feature emerged. In the end, possible reasons were discussed, and the suggestions were presented for usability improvements.

Effects of input method and display mode of situation map on early warning aircraft reconnaissance task performance with different information complexities

Early Warning Aircraft (EWA) are the main force for air detection and its Human-Machine Interface (HMI) should be designed to support task efficiency and safety. With the application of advanced input method and interface design in EWA, little is known about their actual usability in terms of human factors and ergonomics. The aim of this study was to investigate the effects of the input method and display mode of the situation map on EWA reconnaissance task performance with different information complexities. Eighteen participants attended a three-factor within-subject design experiment with input method (touch screen and mouse), display mode of the situation map (color and grayscale), and information complexity (high and low) as the independent variables. Participant behavior performance, subjective workload, heart rate/heart rate variability, and eye movements were recorded as the dependent variables. The results suggest that a touch screen requires greater task completion time and has greater physical demands than mouse operation; however, it also facilitates information processing by reducing the average fixation time. Color mode significantly decreases saccade counts compared to grayscale mode and is considered more appropriate for target search tasks as it induces less visual search load. High information complexity produces significant negative effects on behavior performance and subjective workload. It also has significant interaction effects with input method on fixation and saccade counts. The findings have implications in the optimization design of Human–Machine Interface for EWA task systems.

Assessing Visual Avoidance of Faces During Real-Life Social Stress in Children with Social Anxiety Disorder: A Mobile Eye-Tracking Study

This study measured visual attention (fixation count, dwell time) during two real-life social stress tasks using mobile eye-tracking glasses in children (9–13 years) diagnosed with social anxiety disorder (SAD; n = 25) and a healthy control group (HC; n = 30). The influence of state anxiety on attention allocation and negative self-evaluation biases regarding gaze behavior were also examined. Compared to the HC group, children with SAD showed visual avoidance (i.e., fewer fixations) of the faces of interaction partners during the second social stress task. While visual avoidance in HC children decreased with declining state anxiety from the first to the second social stress task, no such effect was found in children with SAD. A negative self-evaluation bias regarding gaze behavior in children with SAD was not found. In sum, measuring visual attention during real-life social situations may help enhance our understanding of social attention in childhood SAD.

Attention for Emotion-How Young Adults With Neurodevelopmental Disorders Look at Facial Expressions of Affect.

While Autism Spectrum Disorder (ASD), Attention-Deficit/Hyperactivity Disorder (ADHD) and Schizophrenia (SCZ) differ in many clinically relevant features such as symptomatology and course, they may also share genetic underpinnings, affective problems, deviancies in social interactions, and are all characterized by some kind of cognitive impairment. This situation calls for a joint investigation of the specifics of cognitive (dys-)functions of the three disorders. Such endeavor should focus, among other domains, on the inter-section of processing cognitive, affective and social information that is crucial in effective real-life interactions and can be accomplished when attentional preferences for human facial expressions of emotions is studied. To that end, attention to facial expressions of basic emotions was examined in young adults with ASD, ADHD, or SCZ in the present study. The three clinical groups were compared with an age-matched group of typically-developing participants (TD) during the free contemplation of five different facial emotions presented simultaneously, by varying identities, through the registration of eye movements. We showed, that dwell times and fixation counts differed for the different emotions in TD and in a highly similar way in ADHD. Patients with ASD differed from TD by showing a stronger differentiation between emotions and partially different attentional preferences. In contrast, the SCZ group showed an overall more restricted scanning behavior and a lack of differentiation between emotions. The ADHD group, showed an emotion-specific gazing pattern that was highly similar to that of controls. Thus, by analyzing eye movements, we were able to differentiate three different viewing patterns that allowed us to distinguish between the three clinical groups. This outcome suggests that attention for emotion may not tap into common pathophysiological processes and argues for a multi-dimensional approach to the grouping of disorders with neurodevelopmental etiology.

Anesthesia personnel’s visual attention regarding patient monitoring in simulated non-critical and critical situations, an eye-tracking study

BackgroundCognitive ergonomics design of patient monitoring may reduce human factor errors in high-stress environments. Eye-tracking is a suitable tool to gain insight into the distribution of visual attention of healthcare professionals with patient monitors, which may facilitate their further development.MethodsThis prospective, exploratory, high-fidelity simulation study compared anesthesia personnel’s visual attention (fixation count and dwell-time) to 15 areas of interest on the patient monitor during non-critical and critical anesthesia situations. Furthermore, we examined the extent to which participants’ experience influenced visual attention and which vital signs displayed on the patient monitor received the most visual attention. We used mixed zero-inflated Poisson regression and mixed linear models to analyze the data.ResultsAnalyzing 23 ten-minute scenarios, we found significantly more fixations to the areas of interest on the patient monitor during critical than non-critical situations (rate ratio of 1.45; 95% CI 1.33 to 1.59; p < 0.001). However, the dwell-time on the areas of interest did not significantly differ between the non-critical and critical situations (coefficient of − 1.667; 95% CI − 4.549 to 1.229; p = 0.27). The professional experience did not significantly influence the visual attention (fixation: rate ratio of 0.88; 95% CI 0.54 to 1.43; p = 0.61 and dwell-time: coefficient of 0.889; 95% CI − 1.465 to 3.229; p = 0.27).Over all situations, anesthesia personnel paid the most attention to the vital signs blood pressure (fixation: mean [SD] of 108 [74.83]; dwell-time: mean [SD] of 27 [15.90] seconds), end-expiratory carbon dioxide (fixation: mean [SD] of 59 [47.39]; dwell-time: mean [SD] of 30 [21.51] seconds), and the electrocardiogram (fixation: mean [SD] of 58 [64.70]; dwell-time: mean [SD] of 15 [14.95] seconds).ConclusionsCritical anesthesia situations increased anesthesia personnel’s visual interaction with the patient monitor. Furthermore, we found that their visual attention focused mainly on a few vital signs. To assist clinicians in critical situations, manufacturers should optimize monitors to convey necessary information as easily and quickly as possible and optimize the visibility of less frequently observed but equally critical vital signs, especially when they are in an abnormal range.

Bridging Models of Biometric and Psychometric Assessment: A Three-Way Joint Modeling Approach of Item Responses, Response Times, and Gaze Fixation Counts.

Recently, joint models of item response data and response times have been proposed to better assess and understand test takers' learning processes. This article demonstrates how biometric information such as gaze fixation counts obtained from an eye-tracking machine can be integrated into the measurement model. The proposed joint modeling framework accommodates the relations among a test taker's latent ability, working speed and test engagement level via a person-side variance-covariance structure, while simultaneously permitting the modeling of item difficulty, time-intensity, and the engagement intensity through an item-side variance-covariance structure. A Bayesian estimation scheme is used to fit the proposed model to data. Posterior predictive model checking based on three discrepancy measures corresponding to various model components are introduced to assess model-data fit. Findings from a Monte Carlo simulation and results from analyzing experimental data demonstrate the utility of the model.

Impact of various types of provocative advertisements on brand recall and attention engagement: Pilot study report

AbstractThe study's main goal was to investigate the impact of various types of shocking content of provocative advertisements on brand recall and visual attention engagement. The experiment used the eye‐tracker (iViewX RED500) to record the eye movements. Forty‐one participants were divided into two groups. Provocative (drastic, religious, and erotic) advertisements were presented experimental group while the control group was shown modified illustrations without provocative content. The study revealed that the average fixation time and fixation counts on erotic element were significantly higher in provocative advertisements than in their non‐provocative equivalents. Average fixations time on the brand was significantly greater in non‐provocative advertisements than in erotic versions of these ads. It was found that the shocking element and brand were better remembered in provocative advertisements containing religious content than in their non‐provocative equivalents. In contrast, these elements were less remembered in advertisements containing drastic content than in their non‐provocative equivalents.

Effects of interface layout design on mobile learning efficiency: a comparison of interface layouts for mobile learning platform

PurposeThe purpose of this study is to explore the impact of mobile learning platforms on users' study efficiency and develop cognitive indicators to evaluate users' study efficiency on mobile learning platforms.Design/methodology/approachLayout style was the only independent factor that was investigated. A between-group experimental design was employed. Eye movement data were recorded during the experiment, following which participants were asked to complete an after-scenario questionnaire. This study evaluated the usability of the proposed new design using both subjective and objective data. The computer system usability questionnaire V3 (CSUQ) was used to measure subjective data. For the eye-tracking measure, gaze entropy, the proportion of fixation count and duration of each AOI were calculated. Gaze entropy reflects the complexity of information organization. Fixation counts and AOI duration represent the difficulty of information processing and attention distribution, respectively during the task.FindingsThe results indicated that interface layout presents significant effects on user's learning efficiency, usability and cognitive load. Sequential layout improved efficiency and satisfaction among participants and reduced information complexity. The results provided useful insights for designers whose goal is to improve user's learning efficiency under mobile learning scheme.Originality/valueThis study investigated the effects of interface layout on usability, user performance and cognitive load using subjective ratings and eye-tracking technology. Gaze entropy was used to measure the complexity of information organized by the interface design. Fixation count and duration proportion were used to identify the difficulty of information processing and distinguish users' distribution of cognitive resources. The results indicated that a vertical layout panel design was more efficient than a horizontal layout panel design. The design implications of the eye tracking indicators and research results were then summarized. This study is expected to encourage designers to optimize their design proposals using eye tracking testing.

A Video-Based, Eye-Tracking Study to Investigate the Effect of eHMI Modalities and Locations on Pedestrian–Automated Vehicle Interaction

Numerous studies have emerged on the external human–machine interface (eHMI) to facilitate the communication between automated vehicles (AVs) and other road users. However, it remains to be determined which eHMI modality and location are proper for the pedestrian–AV interaction. Therefore, a video-based, eye-tracking study was performed to investigate how pedestrians responded to AVs with eHMIs in different modalities (flashing text, smiley, light band, sweeping pedestrian icon, arrow, and light bar) and locations (grill, windshield, and roof). Moreover, the effects of pedestrian-related factors (e.g., gender, sensation-seeking level, and traffic accident involvement) were also included and evaluated. The dependent variables included pedestrians’ clarity-rating scores towards these eHMI concepts, road-crossing decision time, and gaze-based metrics (e.g., fixation counts, dwell time, and first fixation duration). The results showed that the text, icon, and arrow-based eHMIs resulted in the shortest decision time, highest clarity scores, and centralized visual attention. The light strip-based eHMIs yielded no significant decrease in decision time yet longer fixation time, indicating difficulties in comprehension of their meaning without learning. The eHMI location had no effect on pedestrians’ decision time but a substantial influence on their visual searching strategy, with a roof eHMI contradicting pedestrians’ inherent scanning pattern. These findings provide implications for the standardized design of future eHMIs.

A constellation of eye-tracking measures reveals social attention differences in ASD and the broad autism phenotype

BackgroundSocial attention differences, expressed through gaze patterns, have been documented in autism spectrum disorder (ASD), with subtle differences also reported among first-degree relatives, suggesting a shared genetic link. Findings have mostly been derived from standard eye-tracking methods (total fixation count or total fixation duration). Given the dynamics of visual attention, these standard methods may obscure subtle, yet core, differences in visual attention mechanisms, particularly those presenting sub-clinically. This study applied a constellation of eye-tracking analyses to gaze data from individuals with ASD and their parents.MethodsThis study included n = 156 participants across groups, including ASD (n = 24) and control (n = 32) groups, and parents of individuals with ASD (n = 61) and control parents (n = 39). A complex scene with social/non-social elements was displayed and gaze tracked via an eye tracker. Eleven analytic methods from the following categories were analyzed: (1) standard variables, (2) temporal dynamics (e.g., gaze over time), (3) fixation patterns (e.g., perseverative or regressive fixations), (4) first fixations, and (5) distribution patterns. MANOVAs, growth curve analyses, and Chi-squared tests were applied to examine group differences. Finally, group differences were examined on component scores derived from a principal component analysis (PCA) that reduced variables to distinct dimensions.ResultsNo group differences emerged among standard, first fixation, and distribution pattern variables. Both the ASD and ASD parent groups demonstrated on average reduced social attention over time and atypical perseverative fixations. Lower social attention factor scores derived from PCA strongly differentiated the ASD and ASD parent groups from controls, with parent findings driven by the subset of parents demonstrating the broad autism phenotype.LimitationsTo generalize these findings, larger sample sizes, extended viewing contexts (e.g., dynamic stimuli), and even more eye-tracking analytical methods are needed.ConclusionsFixations over time and perseverative fixations differentiated ASD and the ASD parent groups from controls, with the PCA most robustly capturing social attention differences. Findings highlight their methodological utility in studies of the (broad) autism spectrum to capture nuanced visual attention differences that may relate to clinical symptoms in ASD, and reflect genetic liability in clinically unaffected relatives. This proof-of-concept study may inform future studies using eye tracking across populations where social attention is impacted.

The contributions of eye gaze fixations and target-lure similarity to behavioral and fMRI indices of pattern separation and pattern completion

ABSTRACT Pattern separation and pattern completion are generally studied in humans using mnemonic discrimination tasks such as the Mnemonic Similarity Task (MST) where participants identify similar lures and repeated items from a series of images. Failures to correctly discriminate lures are thought to reflect a failure of pattern separation and a propensity toward pattern completion. Recent research has challenged this perspective, suggesting that poor encoding rather than pattern completion accounts for the occurrence of false alarm responses to similar lures. In two experiments, participants completed a continuous recognition task version of the MST while eye movement (Experiments 1 and 2) and fMRI data (Experiment 2) were collected. In Experiment 1, we replicated the result that fixation counts at study predicted accuracy on lure trials (consistent with poor encoding predicting mnemonic discrimination performance), but this effect was not observed in our fMRI task. In both experiments, we found that target-lure similarity was a strong predictor of accuracy on lure trials. Further, we found that fMRI activation changes in the hippocampus were significantly correlated with the number of fixations at study for correct but not incorrect mnemonic discrimination judgments when controlling for target-lure similarity. Our findings indicate that while eye movements during encoding predict subsequent hippocampal activation changes for correct mnemonic discriminations, the predictive power of eye movements for activation changes for incorrect mnemonic discrimination trials was modest at best.

Why this app? How educators choose a good educational app

The study examines if educators are valuing certain benchmarks of quality (i.e., scaffolding, feedback, curriculum, development team, learning theory) when they select educational apps from app stores and evaluates how they gather information during the selection process. Pre-service and working elementary educators viewed and evaluated app store pages for 10 simulated apps while gaze data (i.e., looking at either the written descriptions or app images) were collected using an eye-tracker. Participants' value-judgements were measured by their willingness to download the app, how much they would pay, their rating, and ranking, while gaze data examined participants' fixation count and fixation duration. Results from paired-samples t-tests, repeated-measures ANOVAs, and nonparametric tests indicate that educators value apps with educational benchmarks over buzzwords, while judging apps with development team, scaffolding, and curriculum higher than those with an integrated learning theory and feedback. Moreover, eye tracking results revealed that educators scrutinize app images more when they feature educational benchmarks. To improve educators' app selection, professional development should target educators’ views of learning theory and feedback as well as their use of app images as a source of information on app quality (cf., detailed text descriptions).

Understanding Online Consumer Behavior at E-commerce Portals Using Eye-Gaze Tracking

E-commerce websites are doing extremely well despite the global slowdown in the traditional brick-and-mortar retail industry. Web page design, search options, and graphical layout may greatly influence the customer base of any e-commerce website. This paper intends to identify the most influential elements of a graphical interface and their effect on consumers’ visual attention. Visual layouts having major influence on customers’ decisions during online shopping were investigated using eye-gaze tracking. Data from 76 respondents were collected to identify parts of the graphical interface attaining maximum user attention in terms of first fixation of eye-gaze and fixation count. Heat maps were used to visualize the results. The results revealed a clear impact of graphical interface on gaining user attention. Further, the experiment also revealed gender-specific visual preferences toward various parts of graphical user interface. The results may further be extended to evaluate product design, packaging design, promotional design, and graphical interfaces of websites.

Visual Attention of Anesthesia Providers in Simulated Anesthesia Emergencies Using Conventional Number-Based and Avatar-Based Patient Monitoring: Prospective Eye-Tracking Study.

BackgroundInadequate situational awareness accounts for two-thirds of preventable complications in anesthesia. An essential tool for situational awareness in the perioperative setting is the patient monitor. However, the conventional monitor has several weaknesses. Avatar-based patient monitoring may address these shortcomings and promote situation awareness, a prerequisite for good decision making.ObjectiveThe spatial distribution of visual attention is a fundamental process for achieving adequate situation awareness and thus a potential quantifiable surrogate for situation awareness. Moreover, measuring visual attention with a head-mounted eye-tracker may provide insights into usage and acceptance of the new avatar-based patient monitoring modality.MethodsThis prospective eye-tracking study compared anesthesia providers' visual attention on conventional and avatar-based patient monitors during simulated critical anesthesia events. We defined visual attention, measured as fixation count and dwell time, as our primary outcome. We correlated visual attention with the potential confounders: performance in managing simulated critical anesthesia events (task performance), work experience, and profession. We used mixed linear models to analyze the results.ResultsFifty-two teams performed 156 simulations. After a manual quality check of the eye-tracking footage, we excluded 57 simulations due to technical problems and quality issues. Participants had a median of 198 (IQR 92.5-317.5) fixations on the patient monitor with a median dwell time of 30.2 (IQR 14.9-51.3) seconds. We found no significant difference in participants' visual attention when using avatar-based patient monitoring or conventional patient monitoring. However, we found that with each percentage point of better task performance, the number of fixations decreased by about 1.39 (coefficient –1.39; 95% CI –2.44 to –0.34; P=.02), and the dwell time diminished by 0.23 seconds (coefficient –0.23; 95% CI: –0.4 to –0.06; P=.01).ConclusionsUsing eye tracking, we found no significant difference in visual attention when anesthesia providers used avatar-based monitoring or conventional patient monitoring in simulated critical anesthesia events. However, we identified visual attention in conjunction with task performance as a surrogate for situational awareness.

LAG-1: A dynamic, integrative model of learning, attention, and gaze.

It is clear that learning and attention interact, but it is an ongoing challenge to integrate their psychological and neurophysiological descriptions. Here we introduce LAG-1, a dynamic neural field model of learning, attention and gaze, that we fit to human learning and eye-movement data from two category learning experiments. LAG-1 comprises three control systems: one for visuospatial attention, one for saccadic timing and control, and one for category learning. The model is able to extract a kind of information gain from pairwise differences in simple associations between visual features and categories. Providing this gain as a reentrant signal with bottom-up visual information, and in top-down spatial priority, appropriately influences the initiation of saccades. LAG-1 provides a moment-by-moment simulation of the interactions of learning and gaze, and thus simultaneously produces phenomena on many timescales, from the duration of saccades and gaze fixations, to the response times for trials, to the slow optimization of attention toward task relevant information across a whole experiment. With only three free parameters (learning rate, trial impatience, and fixation impatience) LAG-1 produces qualitatively correct fits for learning, behavioural timing and eye movement measures, and also for previously unmodelled empirical phenomena (e.g., fixation orders showing stimulus-specific attention, and decreasing fixation counts during feedback). Because LAG-1 is built to capture attention and gaze generally, we demonstrate how it can be applied to other phenomena of visual cognition such as the free viewing of visual stimuli, visual search, and covert attention.

Effects of tall man lettering on the visual behaviour of critical care nurses while identifying syringe drug labels: a randomised in situ simulation

BackgroundPatients in intensive care units are prone to the occurrence of medication errors. Look-alike, sound-alike drugs with similar drug names can lead to medication errors and therefore endanger patient safety....

Exploring attention to the Canadian 24-Hour Movement Guidelines for Children and Youth using eye-tracking: A randomized control trial.

The Canadian 24-Hour Movement Guidelines for Children and Youth ("Guidelines") not only pioneered the notion of an integrated movement continuum from sleep to vigorous-intensity physical activity but also introduced a new branded Guideline visual identity. This study evaluated youths' (N = 46) attention to and thoughts about the Guidelines and the brand. A cross-sectional between-participants randomized intervention design was used. Canadian youth between 10 and 17 years of age comprised the study sample. Participants were randomly assigned to view either branded Guidelines (n = 26) or unbranded Guidelines (n = 20). Youths' eye-movements (e.g., dwell time, fixation count) were recorded during Guideline viewing. Participants completed a follow-up survey assessing brand perceptions and Guideline cognitions. The branded Guidelines neither drew greater overall attention nor led to more positive brand perceptions or Guideline cognitions compared to the unbranded Guidelines. Exploratory analyses provide valuable, yet preliminary insight into how branding and Guideline content may shape how Guidelines are perceived and acted upon. These findings inform an agenda for future health education resources.

Assessing attentive monitoring levels in dynamic environments through visual neuro-assisted approach

ObjectiveThis work aims to establish a framework in measuring the various attentional levels of the human operator in a real-time animated environment through a visual neuro-assisted approach. BackgroundWith the increasing trend of automation and remote operations, understanding human-machine interaction in dynamic environments can greatly aid to improve performance, promote operational efficiency and safety. MethodTwo independent 1-hour experiments were conducted on twenty participants where eye-tracking metrics and neuro activities from electroencephalogram (EEG) were recorded. The experiments required participants to exhibit attentive behaviour in one set and inattentive in the other. Two segments (“increasing flight numbers” and “relatively constant flight numbers”) were also extracted to study the participants’ visual behavioral differences in relation to aircraft numbers. ResultsFor the two experimental studies, those in the attentive behavioral study show incidences of higher fixation count, fixation duration, number of aircraft spotted, and landing fixations whereas those in inattentive behavior study reveal higher zero-fixation frame count. In experiments involving ‘increasing flight numbers’, a higher percentage of aircraft were spotted as compared to those with ‘constant flight numbers’ in both the groups. Three parameters (number of aircraft spotted, and landing fixations and zero-fixation frame count) are newly established. As radar monitoring is a brain engagement activity, positive EEG data were registered in all the participants. A newly Task Engagement Index (TEI) was also formulated to predict different attentional levels. ConclusionResults provide a refined quantifiable tool to differentiate between attentive and inattentive monitoring behavior in a real-time dynamic environment, which can be applied across various sectors. RecommendationWith the quantitative TEI established, this paves the way for future studies into attentional levels by regions, time based, as well as eye signature studies in relation to visual task engagement and management and determining expertise levels to be explored. Factors relating to fatigue could also be investigated using the TEI approach proposed.