Cognitive workload estimation due to vague visual stimuli using saccadic eye movements

Bodala, Indu P.; Yu, Ke; Mir, Hasan; Thakor, Nitish V.; Al‐Nashash, Hasan

doi:10.1109/embc.2014.6944252

Cited by 18 publications

(13 citation statements)

References 14 publications

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“…Specifically, peak saccade velocity as a measure is sensitive enough to distinguish among all levels of mental attentional demand with the exception of the highest two levels, which were generally either at or above the limit of participant's mental attentional capacity. The direction of the relation between mental attentional demand and eye movements is consistent with some past studies ( Di Stasi et al., 2010 ; Savage et al., 2020 ) but not others ( Bodala et al., 2014 ). Specifically, Di Stasi et al.…”

Section: Discussionsupporting

confidence: 91%

Multiple levels of mental attentional demand modulate peak saccade velocity and blink rate

Bachurina

Arsalidou

2022

Heliyon

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Section: Discussionsupporting

confidence: 91%

Multiple levels of mental attentional demand modulate peak saccade velocity and blink rate

Bachurina

Arsalidou

2022

Heliyon

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“…The average peak saccadic velocity is found to have a positive relationship with the increasing workload [156] and more specifically, it has been shown to be more sensitive to germane load [148]. The significance of saccadic velocity in determining the amount of cognitive load is demonstrated also through video game scenarios.…”

Section: Metrics Related To Cognitive Workloadmentioning

confidence: 85%

Review of Eye Tracking Metrics Involved in Emotional and Cognitive Processes

Skaramagkas

Giannakakis

Ktistakis

et al. 2023

IEEE Rev. Biomed. Eng.

114

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Eye behaviour provides valuable information revealing one's higher cognitive functions and state of affect. Although eye tracking is gaining ground in the research community, it is not yet a popular approach for the detection of emotional and cognitive states. In this paper, we present a review of eye and pupil tracking related metrics (such as gaze, fixations, saccades, blinks, pupil size variation, etc.) utilized towards the detection of emotional and cognitive processes, focusing on visual attention, emotional arousal and cognitive workload. Besides, we investigate their involvement as well as the computational recognition methods employed for the reliable emotional and cognitive assessment. The publicly available datasets employed in relevant research efforts were collected and their specifications and other pertinent details are described. The multimodal approaches which combine eye-tracking features with other modalities (e.g. biosignals), along with artificial intelligence and machine learning techniques were also surveyed in terms of their recognition/classification accuracy. The limitations, current open research problems and prospective future research directions were discussed for the usage of eyetracking as the primary sensor modality. This study aims to comprehensively present the most robust and significant eye/pupil metrics based on available literature towards the development of a robust emotional or cognitive computational model.

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“…Rosch and Vogel-Walcutt’s (2013) review also showed that increased average fixation durations correspond with increases in cognitive load. Moreover, Bodala, Ke, Mir, Thakor, and Al-Nashash (2014) used peak saccade velocity as a measure of cognitive load and concluded that higher cognitive load requires faster saccades. To sum up, a variety of measures have been proposed to quantify cognitive load, but it remains an open question up to the present which of these measures is most reliable.…”

Section: Toward An Integrative Taxonomy Of Eye-tracking Researchmentioning

confidence: 99%

The Promise of Eye-Tracking Methodology in Organizational Research: A Taxonomy, Review, and Future Avenues

Meißner

Oll²

2017

Organizational Research Methods

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Technological advances in recent years have greatly lowered the barriers for using eye tracking (ET) as a research tool in laboratory and field settings. However, despite its potential and widespread application in other disciplines, the use of ET in organizational research remains sparse. This article therefore aims to introduce ET, and thus a new mode of behavioral data, to the field of organizational research. Based on a synthesis of prior literature, we propose an integrative taxonomy that unravels the methodological potential of ET as well as its scope of application. Building on our proposed taxonomy, we systematically review the use of ET in leading management journals and reflect on the current state of research. We further illustrate future avenues for ET in the domains of strategic management, entrepreneurship, and human resources to contribute to the method’s future dissemination and to the advancement of organizational science as well.

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Cognitive workload estimation due to vague visual stimuli using saccadic eye movements

Cited by 18 publications

References 14 publications

Multiple levels of mental attentional demand modulate peak saccade velocity and blink rate

Multiple levels of mental attentional demand modulate peak saccade velocity and blink rate

Review of Eye Tracking Metrics Involved in Emotional and Cognitive Processes

The Promise of Eye-Tracking Methodology in Organizational Research: A Taxonomy, Review, and Future Avenues

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