Pupillary measurement during an assembly task

Bækgaard, Per; Jalaliniya, Shahram; Hansen, John Paulin

doi:10.1016/j.apergo.2018.09.004

Cited by 9 publications

(4 citation statements)

References 32 publications

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“…Moreover, with the development of desktop-mounted eye trackers, pupil dilation and constriction can be measured non-invasively and remotely with high spatial and temporal resolution. In lab settings, where features such as luminance can be controlled and measured, recent work has shown success in using pupillometry to examine mental workload in an unconstrained setting (e.g., Lego construction; Bækgaard et al, 2019). In driving, some researchers have suggested that pupil-based measurements are highly relevant for assessment of drowsiness (Maccora et al, 2018).…”

Section: Research Applicability In Real-world Settingsmentioning

confidence: 99%

A Review of Psychophysiological Measures to Assess Cognitive States in Real-World Driving

Lohani

Payne

Strayer

2019

Front. Hum. Neurosci.

229

181

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As driving functions become increasingly automated, motorists run the risk of becoming cognitively removed from the driving process. Psychophysiological measures may provide added value not captured through behavioral or self-report measures alone. This paper provides a selective review of the psychophysiological measures that can be utilized to assess cognitive states in real-world driving environments. First, the importance of psychophysiological measures within the context of traffic safety is discussed. Next, the most commonly used physiology-based indices of cognitive states are considered as potential candidates relevant for driving research. These include: electroencephalography and event-related potentials, optical imaging, heart rate and heart rate variability, blood pressure, skin conductance, electromyography, thermal imaging, and pupillometry. For each of these measures, an overview is provided, followed by a discussion of the methods for measuring it in a driving context. Drawing from recent empirical driving and psychophysiology research, the relative strengths and limitations of each measure are discussed to highlight each measures' unique value. Challenges and recommendations for valid and reliable quantification from lab to (less predictable) real-world driving settings are considered. Finally, we discuss measures that may be better candidates for a near real-time assessment of motorists' cognitive states that can be utilized in applied settings outside the lab. This review synthesizes the literature on in-vehicle psychophysiological measures to advance the development of effective human-machine driving interfaces and driver support systems.

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Section: Research Applicability In Real-world Settingsmentioning

confidence: 99%

A Review of Psychophysiological Measures to Assess Cognitive States in Real-World Driving

Lohani

Payne

Strayer

2019

Front. Hum. Neurosci.

229

181

View full text Add to dashboard Cite

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“…Pupillometry, which refers to measuring pupil diameter, is one of the widely used physiological measures to assess cognitive load (Chen et al, ). Pupil dilation has been known for decades as a highly valid indicator of cognitive load (Bækgaard et al, ). Pupil dilation is known to occur up to 0.5 mm when performing mental effort tasks (Marquart & de Winter, ).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Recent advances in physiological measurements opened the possibility of doing this. Pupillometry, which refers to measuring pupil diameter, is one of the candidates for physiological measurement (Chen et al, ); pupil dilation has been known for decades as a highly valid indicator of cognitive load (Bækgaard, Jalaliniya, & Hansen, ). Hess and Polt () found that participants' pupil diameter differed as a function of difficulty during arithmetic tasks, leading the conclusion that pupil dilation was an index of total mental activity.…”

Section: Introductionmentioning

confidence: 99%

A novel method to monitoring changes in cognitive load in video‐based learning

Huh

Kim

2019

Computer Assisted Learning

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One of the golden rules in instructional design methods is to optimize the use of working memory capacity and avoid cognitive overload. The study of cognitive load has historically relied on one's introspection. However, it is difficult to capture changes in cognitive load levels during learning sensitively. This paper suggests an approach to investigating dynamic changes in cognitive load by using a pupillometry. With the method, this study explores the effects of learners' prior knowledge and task complexity on cognitive load. An experiment was conducted on two groups of students (N = 19) with distinct levels of prior knowledge. In the experimental session, participants watched a video lecture on a mathematics proposition, while being eye‐tracked. The lecture consists of sections, which can be either a high task complexity or a low task complexity based on elements they have. Pupil dilations acquired in each section were used to explore the time course of cognitive load. To formulate cognitive load patterns, a time‐series clustering was used. The research conducted a chi‐square analysis to test differences in cognitive load patterns by prior knowledge and task complexity. Results show that pupil dilation patterns can be applied to monitor changes in cognitive load during learning.

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“…Recent advances in eye-tracking technology enable pupil size measurement at various temporal rates 7,8) . Pupil dilation is modulated by the activity of the locus coeruleus in the noradrenergic system, and such pupillometry may offer new insights into dysautonomia in PD.…”

Section: Introductionmentioning

confidence: 99%

Video Pupillometric Evaluation of the Pupillary Reflex as a Test for the Clinical Manifestations of Parkinson’s Disease

Araga

Shiraishi

Hasegawa

2019

J St. Marianna Univ

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The aim was to investigate the utility of the eye-tracking pupillary reflex when testing for autonomic dysfunction in Parkinson's disease (PD) patients by correlating the results with clinical status. Methods. The eye-tracking video pupillometric evaluation of the pupillary reflex to light and the isometric hand grip task were measured in 45 PD patients (Hoehn & Yahr stage, 2-4; mean age, 72.7 ± 9.9 years; disease duration 7.2 ± 5.0 years; male, 53.3%). We performed consecutive measurements of pupil size, which were expressed as the number of pixels, and measured the light miosis response (LMiR) and light mydriasis response (LMyR) to changes in luminance (80 Lux and 400 Lux). We also calculated the mydriasis response to the isometric hand grip task (HMyR) as ratios to the pupil size before the stimulus. Results. LMiR and LMyR were significantly smaller in PD patients than in controls (p = 0.002 and p = 0.006, respectively). Pupil size before and after the hand grip task and HMyR were similar to normal control values. LMiR in PD patients significantly correlated with Movement Disorder Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS) part 3 (p = 0.011) and part 4 (p = 0.003). LMyR correlated with MDS-UPDRS part 4 (p = 0.016). HMyR correlated with disease duration (p = 0.007) and levodopa equivalent daily dose (p = 0.025). Multiple linear regression analyses demonstrated that MDS-UPDRS part3 (p = 0.005) was significantly associated with LMiR. Disease duration (p = 0.037) was significantly associated with LMyR. But there was no clinical factor associated with HMyR. Conclusion.An abnormal pupillary reflex, such as a low response to light stimulation and a high response to the hand grip task, may be observed in the advanced stage of PD.

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Pupillary measurement during an assembly task

Cited by 9 publications

References 32 publications

A Review of Psychophysiological Measures to Assess Cognitive States in Real-World Driving

A Review of Psychophysiological Measures to Assess Cognitive States in Real-World Driving

A novel method to monitoring changes in cognitive load in video‐based learning

Video Pupillometric Evaluation of the Pupillary Reflex as a Test for the Clinical Manifestations of Parkinson’s Disease

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