Blink Count Research Articles

Gaze-contingent adaptation of VR stereo parameters for cybersickness prevention

Extended exposure to virtual reality displays has been linked to the emergence of cybersickness, characterized by symptoms such as nausea, dizziness, fatigue, and disruptions in eye movements. The main objective of our study is to examine the effects of real-time fine-tuning of stereo parameters and blurriness in virtual reality on the discomfort level of users who are experiencing motion sickness triggered by the display. Our hypothesis proposes that by dynamically correcting the rendering settings, the symptoms of motion sickness can be relieved and the overall VR user experience can be improved. Our methodology commences with a prediction model for the comfort level of the viewer based on their gaze parameters, such as pupil diameter, blink count, gaze position, and fixation duration. We then propose a method to dynamically adapt the stereoscopic rendering parameters by considering the predicted comfort level of the viewer.

Research on the restorative benefits of sky gardens in high-rise buildings based on wearable biosensors and subjective evaluations

BackgroundThe design of sky gardens in high-rise buildings to promote health has recently attracted increased attention. However, little is known about the specific physiologically and psychologically restorative benefits of sky gardens. MethodThis article defined sky garden types according to five indicators in three dimensions based on the characteristics of the high-rise buildings where sky gardens are located: plaza-park, rest-stay and move-pass sky gardens. Typical sky gardens of each type were selected for the subsequent experiment. Thirty-six participants experienced 12 typical case scenarios (432 pictures), and data were collected on physiological responses (skin conductance resistance, SCR; heart rate variability, HRV; electroencephalogram, EEG; and eye movement) and psychological evaluations (emotional valence & arousal self-esteem scale, perceived restrictiveness scale) during the sky garden spatial experience. ResultsThere are significant differences in plaza-park, rest-stay and move-pass type sky gardens, especially in the internal spatial characteristics (size scale, shape index, and elementary richness). The plaza-park sky gardens had better restorative outcomes in visual-physiological (average pupil diameter, average blink count), emotional valence and restrictiveness components of being away, fascination, and coherence. The rest-stay sky gardens had better restorative effects on SCR, HRV, emotional arousal, and compatibility. The move-pass sky gardens had the greatest restorative benefits in the average saccade count. ConclusionsSky gardens in high-rises impact people's physical and psychosocial well-being. The restorative qualities of the three types of sky gardens differ based on their spatial heterogeneity, with large-scale sky gardens, diverse natural landscapes, public facilities, and high void-to-solid ratios having greater restorative potential.

Video-based analysis of the blink reflex in Parkinson’s disease patients

We developed a video-based tool to quantitatively assess the Glabellar Tap Reflex (GTR) in patients with idiopathic Parkinson’s disease (iPD) as well as healthy age-matched participants. We also video-graphically assessed the effect of dopaminergic medication on the GTR in iPD patients, as well as the frequency and blinking duration of reflex and non-reflex blinks. The Glabellar Tap Reflex is a clinical sign seen in patients e.g. suffering from iPD. Reliable tools to quantify this sign are lacking. Methods: We recorded the GTR in 11 iPD patients and 12 healthy controls (HC) with a consumer-grade camera at a framerate of at least 180 images/s. In these videos, reflex and non-reflex blinks were analyzed for blink count and blinking duration in an automated fashion. Results: With our setup, the GTR can be extracted from high-framerate cameras using landmarks of the MediaPipe face algorithm. iPD patients did not habituate to the GTR; dopaminergic medication did not alter that response. iPD patients’ non-reflex blinks were higher in frequency and higher in blinking duration (width at half prominence); dopaminergic medication decreased the median frequency (Before medication—HC: p < 0.001, After medication—HC: p = 0.0026) and decreased the median blinking duration (Before medication—HC: p = 0.8594, After medication—HC: p = 0.6943)—both in the direction of HC. Conclusion: We developed a quantitative, video-based tool to assess the GTR and other blinking-specific parameters in HC and iPD patients. Further studies could compare the video data to electromyogram (EMG) data for accuracy and comparability, as well as evaluate the specificity of the GTR in patients with other neurodegenerative disorders, in whom the GTR can also be present. Significance: The video-based detection of the blinking parameters allows for unobtrusive measurement in patients, a safer and more comfortable option.

Design recommendations for voluntary blink interactions based on pressure sensors

Voluntary blink control is vital in eye-controlled human–computer interaction (ECHCI). Pressure sensors, known for their low power consumption and strong resistance to interference, are suitable for blink detection. Existing research has predominantly focused on sensor materials and signal processing, and studies on the characteristics and optimized design of voluntary blink actions in ECHCI remain relatively limited. Therefore, this study presents a blink detection system based on pressure sensors and investigates the efficiency of voluntary blink actions. We examined the effects of two independent variables, blink count (single, double, and triple) and blink side (bilateral and unilateral), on recognition accuracy and three time-related variables. Subsequently, the subjective workload and evaluation experiments were conducted for each blink action. The results indicate that the blink count has a more pronounced impact on interaction efficiency and comfort, with continuous blink actions exceeding three blinks not being recommended. Bilateral blinks were perceived as more natural and comfortable than unilateral blinks. Moreover, we discovered that the participants exhibited greater attentiveness and focus when performing double bilateral blink actions, making it suitable for important commands. Based on the experimental results, the top three recommended voluntary blink actions are single bilateral blink (SB), double bilateral blink (DB), and single unilateral blink (SU). Finally, a test involving controlling the movement of a toy car using the recommended blink actions validates the usability of the actions and detection system. These findings provide valuable guidance for the design and optimization of voluntary-blink interaction systems, further enhancing this interaction method’s feasibility.

Design and Usability Study of a Point of Care mHealth App for Early Dry Eye Screening and Detection.

Significantly increased eye blink rate and partial blinks have been well documented in patients with dry eye disease (DED), a multifactorial eye disorder with few effective methods for clinical diagnosis. In this study, a point of care mHealth App named "EyeScore" was developed, utilizing blink rate and patterns as early clinical biomarkers for DED. EyeScore utilizes an iPhone for a 1-min in-app recording of eyelid movements. The use of facial landmarks, eye aspect ratio (EAR) and derivatives enabled a comprehensive analysis of video frames for the determination of eye blink rate and partial blink counts. Smartphone videos from ten DED patients and ten non-DED controls were analyzed to optimize EAR-based thresholds, with eye blink and partial blink results in excellent agreement with manual counts. Importantly, a clinically relevant algorithm for the calculation of "eye healthiness score" was created, which took into consideration eye blink rate, partial blink counts as well as other demographic and clinical risk factors for DED. This 10-point score can be conveniently measured anytime with non-invasive manners and successfully led to the identification of three individuals with DED conditions from ten non-DED controls. Thus, EyeScore can be validated as a valuable mHealth App for early DED screening, detection and treatment monitoring.

A-355 Eyescore, A Point of Care Smartphone App for Early Dry Eye Diagnosis and Management

Abstract Current diagnosis of dry eye disease (DED) has significant challenges with limited accuracy and poor correlation of clinical symptoms. The goal of this study is to develop a smartphone App, namely “EyeScore”, to provide a point of care (POC) and digital solution for early diagnosis of DED. The authors tested the hypothesis of measuring eye blink rate and partial blink count as early clinical biomarkers for the calculation of so called “eye healthiness score”, which allows a convenient, rapid eye exam at home with low resource settings. EyeScore uses an iPhone as an imaging and sensing device for in-App recordings of eyelid movements. The use of facial landmark recognition and eye aspect ratio (EAR) enabled comprehensive digital analysis of video frames for determination of the eye opening/closed states. The smartphone videos from 10 DED patients and 10 healthy controls were tested to optimize EAR derived thresholds for accurate measurements of blink rates and partial blink counts. The authors formulated a clinically relevant algorithm for the calculation of “eye healthiness score”. This 10-point scale score can be easily measured anytime with a non-invasive manner and remotely shared with the patient's eye doctor. As a result, both patients and doctors can monitor the eye conditions over time. Our results showed that EyeScore confirmed the diagnosis of all 10 DED patients. Importantly, Eyescore also identified three individuals with “pre-DED” conditions from 10 healthy controls, demonstrating its potential clinical values for early diagnosis and management of DED. Materials and Methods An Apple MacBook Pro installed with iOS software (iOS 16.1.2) and Xcode 14.0 was used for coding and debugging. Visionkit SDK from Apple Developer was adopted to extract coordinate data from six eye facial landmarks. EAR values were calculated based on the previously published formula, with a dynamic EAR developed as a threshold for the measurement of blink rate and half blink count. For eye healthiness score, a 10-point formula was formulated (0–3, normal; 4–5, Pre-DED; 6–10, DED) with several contributing factors including blink rate, half blink count, eye discomfort and demographic characteristics. Results A total of 20 iPhone videos from DED patients and healthy controls were analyzed and evaluated with EyeScore App. All DED patients obtained scores above 7, confirming their DED diagnosis. On the other hand, three controls obtained scores of 4 or 5, suggesting they were in the Pre-DED state with no noticeable clinical DED symptoms. All other controls obtain scores blow 3 with normal eye conditions. All tests were performed with the consents from the test participants. Conclusions Smart phone-based platform offers great potentials for point of care diagnostic methods. A POC enabled EyeScore App has been successfully developed for early diagnosis of DED. In the future, the authors plan to test EyeScore with a large-scale sample set of DED patients and controls to further validate the accuracy and predictability of eye healthiness score for its broader clinical applications.

Novel digital biomarker identification in Alzheimer’s Disease and related dementias

AbstractBackgroundThe gold standard method for assessing the efficacy of dementia treatments, the Alzheimer’s Disease (AD) Assessment Scale‐Cognitive Subscale (ADAS‐Cog), has limitations of use based on the level of cognitive decline of a patient, the need for an in‐person evaluation, and the sampling of a time point in the patient experience. However, measuring factors associated with patient disease progression is key to not only assessing treatment efficacy, but also to predicting patient trajectory. New measures are needed to fill the gaps associated with the ADAS‐Cog, and digital tools are poised to reveal novel biomarkers of AD and related dementias (ADRD) with the added benefit of continuous measurements in a real‐world setting that give voice to patients unable to directly communicate experiences.MethodA systematic literature review conducted globally of over two million publications is used to identify meaningful aspects of health and physiological characteristics of ADRD. In‐person interviews of patients, caregivers, clinicians, and scientists (n = 50) supplement the findings of the review and, taken together in a mixed methods approach, allow for the creation and dissemination of a survey of the larger ADRD population (n = 2500) regarding the clinical and patient‐centric value of potential measures.ResultPrevious efforts led to the creation of a database of over 300 digital endpoints used in previous and ongoing trials, including several related to ADRD and cognition (i.e., blink count, activity, acoustic/linguistic measures). The resulting list of candidate biomarkers from the mixed methods study is assessed for feasibility of digital measurement, cultural inclusivity, clinical relevance, and accuracy of representation of patient lived experience to produce an optimized set of digital biomarkers defining a meaningful aspect of health in ADRD.ConclusionDigital biomarker measurement, particularly in ADRD, allows for a richer, more comprehensive understanding of the patient’s lived experience, the patient’s disease progression, and the efficacy of treatments. Capturing novel digital biomarkers continuously and in a real‐world setting provides patients, caregivers, and clinicians with useful insights absent of the limitations associated with the ADAS‐Cog. This digital approach further lays the foundation for the development of patient‐centric measures acceptable to clinicians, regulators, and payers.

Highly reproducible eyeblink timing during formula car driving

How do humans blink while driving a vehicle? Although gaze control patterns have been previously reported in relation to successful steering, eyeblinks that disrupt vision are believed to be randomly distributed during driving or are ignored. Herein, we demonstrate that eyeblink timing shows reproducible patterns during real formula car racing driving and is related to car control. We studied three top-level racing drivers. Their eyeblinks and driving behavior were acquired during practice sessions. The results revealed that the drivers blinked at surprisingly similar positions on the courses. We identified three factors underlying the eyeblink patterns: the driver's individual blink count, lap pace associated with how strictly they followed their pattern on each lap, and car acceleration associated with when/where to blink at a moment. These findings suggest that the eyeblink pattern reflected cognitive states during in-the-wild driving and experts appear to change such cognitive states continuously and dynamically.

A multimodal facial cues based engagement detection system in e-learning context using deep learning approach.

Due to the COVID-19 crisis, the education sector has been shifted to a virtual environment. Monitoring the engagement level and providing regular feedback during e-classes is one of the major concerns, as this facility lacks in the e-learning environment due to no physical observation of the teacher. According to present study, an engagement detection system to ensure that the students get immediate feedback during e-Learning. Our proposed engagement system analyses the student's behaviour throughout the e-Learning session. The proposed novel approach evaluates three modalities based on the student's behaviour, such as facial expression, eye blink count, and head movement, from the live video streams to predict student engagement in e-learning. The proposed system is implemented based on deep-learning approaches such as VGG-19 and ResNet-50 for facial emotion recognition and the facial landmark approach for eye-blinking and head movement detection. The results from different modalities (for which the algorithms are proposed) are combined to determine the EI (engagement index). Based on EI value, an engaged or disengaged state is predicted. The present study suggests that the proposed facial cues-based multimodal system accurately determines student engagement in real time. The experimental research achieved an accuracy of 92.58% and showed that the proposed engagement detection approach significantly outperforms the existing approaches.

Analysis of Blink Data Behaviour Between Male and Female Adult Readers of English Text

This study intended to clarify the ambiguity around gender differences during electronic English reading. Through determining a correlation amongst blink eye movement behaviour and gender. The study reviewed blink behaviour between 16 participants (n=11) male and (n=5) female participants during a silent electronic English reading task. Using a standardised white background and black font comprising three reading slides. Eye parameters measured were (i) blink count, (ii) blink duration and (iii) blink frequency. Despite previous literature published, it was found during this study that no significant results were reported amongst the two groups for the three parameters examined. This study contributes that gender does not correlate with blink behaviour during reading, therefore both groups responded the same when viewing the reading stimuli. Furthermore, it was also found that the format of material should be considered i.e., hardcopy vs electronic when conducting further research. As these, amongst other factors such as stress and fatigue are identified to influence blink behaviour in male and female readers. Further investigation into this area includes exploration into alternative cognitive eye movement parameters such as pupil diameter.

Fixation and Blink Eye Movement Behavior in Dyslexic and Non-Dyslexic English Readers

This study identifies eye movement differences amongst dyslexic and non-dyslexic groups during varying visual reading stimuli. Four ocular metrics are investigated: fixation duration, regression count, blink count and blink duration. In this study, 24 participants were divided into two groups dyslexic (n = 11) and non-dyslexic (n = 13) to read an electronic reading stimulus under different visual typographic conditions. A t-test analysis of each group was conducted for each ocular metric. Significant differences were observed amongst three of the four ocular metrics: fixation duration (p 0.001), regression count (p p p

Usability Evaluation of TV Interfaces: Subjective Evaluation Vs. Objective Evaluation

ABSTRACT This study aims to design a usability test enhanced with subjective usability evaluation methods (concurrent think-aloud, post-task and posttest questionnaires) and objective usability evaluation methods (eye-tracking, emotion recognition and logging technologies). Furthermore, the relationships between the subjective metrics such as task difficulty level, PSSUQ (Post-Study System Usability Questionnaire) scores and objective metrics such as task completion time, eye tracking metrics (fixation count, fixation duration, average fixation duration, saccade count, saccade duration, scanpath length, blink count), logging metrics (keying and back keying count) and emotion recognition metrics (negative emotions count) are aimed to be analyzed. Therefore, a user testing study with 38 participants was conducted to evaluate the usability level of the TV interface of Digiturk, which is one of the digital TV broadcasting platforms in Turkey. The participants completed ten tasks related to the features of the TV interface, such as VOD (video-on-demand) watching, channel locking, and recording for future watches. Whether there is a significant difference between tasks in terms of subjective and objective metrics is investigated by using one-way ANOVA. The results show that while task completion time and task difficulty increase, values of all objective metrics increase. The relationships between the subjective and objective metrics are measured with Pearson correlation and the results show that there is a significant relationship between every subjective and objective metric except PSSUQ scores, which shows the perceived satisfaction level of the participants. Furthermore, exploratory factor analysis is performed to explore the latent structure of the usability measures. As a result of the factor analysis, a two-factor structure in which objective and subjective metrics load on two separate factors is obtained.

Fluctuation in Pupil Size and Spontaneous Blinks Reflect Story Transportation.

Thirty-nine participants listened to 28 neutral and horror excerpts of Stephen King short stories while constantly tracking their emotional arousal. Pupil size was measured with an Eyelink 1000+, and participants rated valence and transportation after each story. In addition to computing mean pupil size across 1-sec intervals, we extracted blink count and used detrended fluctuation analysis (DFA) to obtain the scaling exponents of long-range temporal correlations (LRTCs) in pupil size time-series. Pupil size was expected to be sensitive also to emotional arousal, whereas blink count and LRTC’s were expected to reflect cognitive engagement. The results showed that self-reported arousal increased, pupil size was overall greater, and the decreasing slope of pupil size was flatter for horror than for neutral stories. Horror stories induced higher transportation than neutral stories. High transportation was associated with a steeper increase in self-reported arousal across time, stronger LRTCs in pupil size fluctuations, and lower blink count. These results indicate that pupil size reflects emotional arousal induced by the text content, while LRTCs and blink count are sensitive to cognitive engagement associated with transportation, irrespective of the text type. The study demonstrates the utility of pupillometric measures and blink count to study literature reception.

The Hawthorne Effect in Eye-blinking: Awareness that One’s Blinks are Being Counted Alters Blink Behavior

ABSTRACT Purpose: Spontaneous eye-blink rate is the number of involuntary blinks performed during a certain period of time. Assessing blink rate in humans provides valuable physiological and behavioral data for studying neuropathology and emotional states. Cognitive states, including awareness on the part of the subject that his or her blinks are being counted, may influence blink activity and confound blink rate measurements. The goal of this study was to provide direct experimental evaluation of the hypothesis that subject awareness affects tasked-based blink activity. Materials and methods: 30 young healthy adult males with normal vision underwent a series of tasks – viewing images, talking, sitting quietly, and cross fixation – while being video recorded. Each subject completed the tasks naively, then repeated them after being explicitly told their blink rate was being measured. Blink rate was measured through minute-by-minute blink counts by human raters. Results: We found a transitory impact on blink count during the first and third minute of a passive image-viewing task that occurred immediately after subjects were informed of their eye blinks being counted. However, the overall blink rate across the 7-min passive image-viewing task was not influenced. In three other tasks – fixation, silence, and conversation – we observed no statistically significant difference in minute-by-minute blink count or overall blink rate. Conclusions: We conclude that informing a subject that his eye blinks are being counted exerts a modest but significant acute influence on blinking activity, but critically does not appear to confound blink rate over prolonged tasks.

Detecting Mind-Wandering from Eye Movement and Oculomotor Data during Learning Video Lecture

The purpose of this study was to detect mind-wandering experienced by pre-service teachers during a video learning lecture on physics. The lecture was videotaped and consisted of a live lecture in a classroom. The lecture was about Gauss's law on physics. We investigated whether oculomotor data and eye movements could be used as a marker to indicate the learner’s mind-wandering. Each data was collected in a study in which 24 pre-service teachers (16 females and 8 males) reported mind-wandering experience through self-caught method while learning physics video lecture during 30 minutes. A Tobii Pro Spectrum (sampling rate: 300 Hz) was used to capture their eye-gaze during learning Gauss's law through a course video. After watching the video lecture, we interviewed pre-service teachers about their mind-wandering experience. We first used the self-caught method to capture the mind-wandering timing of pre-service teachers while learning from video lectures. We detected more accurate mind-wandering segments by comparing fixation duration and saccade count. We investigated two types of oculomotor data (blink count, pupil size) and nine eye movements (average peak velocity of saccades; maximum peak velocity of saccades; standard deviation of peak velocity of saccades; average amplitude of saccades; maximum amplitude of saccades; total amplitude of saccades; saccade count/s; fixation duration; fixation dispersion). The result was that the blink count could not be used as a marker for mind-wandering during learning video lectures among them (oculomotor data and eye movements), unlike previous literatures. Based on the results of this study, we identified elements that can be used as mind-wandering markers while learning from video lectures that are similar to real classes, among the oculomotor data and eye movement mentioned in previous literatures. Additionally, we found that most participants focused on past thoughts and felt unpleasant after experiencing mind-wandering through interview analysis.

Driver State Alert Control using Head Shoulder Inclination and Facial Landmarks

Driver sleepiness is one in all the most important causes of most of the accidents within the world. Detecting the driver’s eye weariness is the simplest way for detecting the somnolence of the driver. The prevailing systems in the literature cannot discover sleepiness in folks having lagophthalmos (condition that forestalls eyes from closing utterly) and monocular vision (person with one-eyed or sight loss in one eye). To solve this downside a Driver State Alert Control system is projected which makes the use of head-shoulder inclination, face detection, eye detection, emotion recognition, eye openness estimation and blink counts for detecting the sleepiness and collision liability associated with robust emotional factors. The projected framework endlessly analyses the head shoulder inclination and facial lineaments of the driver to alert the driver by activating the alarm once he/she is drowsy or showing emotion unstable to drive. The typical separation between upper eyelid and lower eyelid of adults suffering from lagophthalmos is about 1-5mm. The EAR (Eye Aspect Ratio) is calculated supporting this separately for each eye. Thus, the proposed technique can be used for folks with lagophthalmos and monocular vision. Also, the entities don’t solely rely on blink count to ascertain the sleepiness, collision risks related to robust emotional factors are considered too. The projected system which is enforced with one camera view on open CV and raspberry pi setting illustrates the systems good efficiency in particulars of authentic sleep identification results and thus reduces road mishaps. It is easy to place in any type of vehicle and price effective too.

The buildup of an urge in obsessive-compulsive disorder: Behavioral and neuroimaging correlates.

Obsessive–compulsive disorder (OCD) is highly heterogeneous. While obsessions often involve fear of harm, many patients report uncomfortable sensations and/or urges that drive repetitive behaviors in the absence of a specific fear. Prior work suggests that urges in OCD may be similar to everyday “urges‐for‐action” (UFA) such as the urge to blink, swallow, or scratch, but very little work has investigated the pathophysiology underlying urges in OCD. In the current study, we used an urge‐to‐blink approach to model sensory‐based urges that could be experimentally elicited and compared across patients and controls using the same task stimuli. OCD patients and controls suppressed eye blinking over a period of 60 s, alternating with free blinking blocks, while brain activity was measured using functional magnetic resonance imaging. OCD patients showed significantly increased activation in several regions during the early phase of eyeblink suppression (first 30 s), including mid‐cingulate, insula, striatum, parietal cortex, and occipital cortex, with lingering group differences in parietal and occipital regions during late eyeblink suppression (last 30 s). There were no differences in brain activation during free blinking blocks, and no conditions where OCD patients showed reduced activation compared to controls. In an exploratory analysis of blink counts performed in a subset of subjects, OCD patients were less successful than controls in suppressing blinks. These data indicate that OCD patients exhibit altered brain function and behavior when experiencing and suppressing the urge to blink, raising the possibility that the disorder is associated with a general abnormality in the UFA system that could ultimately be targeted by future treatments.

A Laboratory Based Experimental Evaluation of Ocular Parameters as Fatigue and Drowsiness Measures

The detection and measurement of fatigue and drowsiness is a challenging job in today’s world. EOG signal analysis is a noninvasive method for evaluating the movement of eyeball in the horizontal and vertical direction. It is a feasible technique in comparison to the other physiological signal based process to determine and quantify the fatigue and drowsiness of the drivers/ operators. For this study data from fourteen participants in three different cue frequency and different time phases of a day has been acquired and three parameters like cornea pace, peak to blink ratio and blink count are evaluated on the basis of the real time signal. Based upon the experimental results, it is concluded that the fatigue and drowsiness increase with muscle stress, sleep deprivation, and the gap between the two sleep cycles.

Effects of In-vehicle Information on Driver Blink Characteristics and Workload

A real-vehicle experiment was carried out to study the effects of in-vehicle information on driver workload, during which data of the driver blink duration and frequency were collected to check for discrepancies among drivers with and without vehicle navigation usage. In the meanwhile, the blink characteristics of drivers with vehicle navigation device mounted at three different positions were explored through image prompt or image &amp; sound multi-channel simultaneous prompt. Experimental results showed that when the data of blink with a duration of 0-200ms was distributed at a 10ms interval, the driver blink count distribution curve shows obvious bimodal characteristics. The peak of blink with 50-60ms duration was lower than that with 10-20ms duration when vehicle navigation was not used, and higher when vehicle navigation was used. The difference between medium and long blinks was not significant when the navigation device was mounted at different positions, yet the short blinks showed a significant difference. The peaks of blink count without voice navigation were all greater than those with voice navigation. In particular, without voice navigation, the short blinks increased obviously, and the medium blinks increased relatively, but the long blinks remained almost unchanged. The above results indicate that the driver workload was greater when using vehicle navigation. When the navigation device is installed in position B, the driver workload reaches the minimum. Using voice navigation could reduce driver workload.

In situ use of the King-Devick Eye Tracking and changes seen with youth Sport Related Concussion: Saccadic and blinks counts

Introduction: Sport-related concussion (SRC) can result in impaired oculomotor function. Oculomotor performance, measured utilizing the King-Devick/Eye Tracking test (K-D/ET), is reported to be able to identify sub-optimal brain function. The objectives of the study were; (1) to determine the diagnostic accuracy of the K-D/ET in identifying SRC occurring from game participation, and (2) to perform a comparative analysis on saccade and blink counts for each K-D card individually and total counts between baseline and post-concussion.