Review of eye tracking metrics involved in emotional and cognitive processes
| Autor: | Ioannis Karatzanis, Vasileios Skaramagkas, Dimitrios I. Fotiadis, Evanthia E. Tripoliti, Emmanouil Ktistakis, Nikolaos S. Tachos, Kostas Marias, Dimitris Manousos, Manolis Tsiknakis, Giorgos Giannakakis |
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| Rok vydání: | 2021 |
| Předmět: |
eye tracking
gaze pupil fixations saccades smooth pursuit blinks stress visual attention emotional arousal cognitive workload emotional arousal datasets cognitive workload datasets Modality (human–computer interaction) Modalities Computer science Biomedical Engineering ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Cognition Affect (psychology) Gaze Pupil 030227 psychiatry 03 medical and health sciences 0302 clinical medicine Open research InformationSystems_MODELSANDPRINCIPLES Eye tracking 030217 neurology & neurosurgery Cognitive psychology |
| DOI: | 10.5281/zenodo.4740076 |
| Popis: | 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. Pre-final version (preprint). For the citation of this journal paper please use the DOI provided of the publisher (IEEE) which is the following one DOI: 10.1109/RBME.2021.3066072 |
| Databáze: | OpenAIRE |
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