Literature DB >> 2260494

Eye movement indices of mental workload.

J G May1, R S Kennedy, M C Williams, W P Dunlap, J R Brannan.   

Abstract

Four investigations were carried out to assess the feasibility of using eye movement measures as indices of mental workload. In the first experiment, saccadic extent was measured during free viewing while subjects performed low, moderate and high complexity, auditory tone counting as the workload tasks. The range of saccadic extent decreased significantly as tone counting complexity (workload) was increased. In the second experiment the range of spontaneous saccades was measured under three levels of counting complexity with a visual task that did not require fixation or tracking. The results indicated that the extent of saccadic eye movements was significantly restricted as counting complexity increased. In the third experiment, the effects of practice were examined and decreased saccadic range under high tone counting complexity was observed even when significant increases in performance occurred with practice. Finally, in experiment 4, the first experiment was repeated with additional optokinetic stimulation and the saccadic range was again observed to decrease with tone counting complexity. The results indicated that the extent of spontaneous and elicited eye movements was significantly restricted as counting complexity increased. We conclude that this measure may provide a valuable index of mental workload.

Mesh:

Year:  1990        PMID: 2260494     DOI: 10.1016/0001-6918(90)90067-p

Source DB:  PubMed          Journal:  Acta Psychol (Amst)        ISSN: 0001-6918


  11 in total

1.  Eye-Tracking in Assessment of the Mental Workload of Harvester Operators.

Authors:  Bartłomiej Naskrent; Witold Grzywiński; Krzysztof Polowy; Arkadiusz Tomczak; Tomasz Jelonek
Journal:  Int J Environ Res Public Health       Date:  2022-04-26       Impact factor: 4.614

2.  Combining and comparing EEG, peripheral physiology and eye-related measures for the assessment of mental workload.

Authors:  Maarten A Hogervorst; Anne-Marie Brouwer; Jan B F van Erp
Journal:  Front Neurosci       Date:  2014-10-14       Impact factor: 4.677

Review 3.  Driver Distraction Using Visual-Based Sensors and Algorithms.

Authors:  Alberto Fernández; Rubén Usamentiaga; Juan Luis Carús; Rubén Casado
Journal:  Sensors (Basel)       Date:  2016-10-28       Impact factor: 3.576

4.  Analysis of Mental Workload in Online Shopping: Are Augmented and Virtual Reality Consistent?

Authors:  Xiaojun Zhao; Changxiu Shi; Xuqun You; Chenming Zong
Journal:  Front Psychol       Date:  2017-01-26

Review 5.  A Comprehensive Survey of Driving Monitoring and Assistance Systems.

Authors:  Muhammad Qasim Khan; Sukhan Lee
Journal:  Sensors (Basel)       Date:  2019-06-06       Impact factor: 3.576

6.  A Systematic Review of Physiological Measures of Mental Workload.

Authors:  Da Tao; Haibo Tan; Hailiang Wang; Xu Zhang; Xingda Qu; Tingru Zhang
Journal:  Int J Environ Res Public Health       Date:  2019-07-30       Impact factor: 3.390

7.  Using Eye-Movement Events to Determine the Mental Workload of Surgical Residents.

Authors:  Gonca Gokce Menekse Dalveren; Nergiz Ercil Cagiltay
Journal:  J Eye Mov Res       Date:  2018-08-24       Impact factor: 0.957

8.  Titles and Semantic Violations Affect Eye Movements When Viewing Contemporary Paintings.

Authors:  Joanna Ganczarek; Karolina Pietras; Anna Stolińska; Magdalena Szubielska
Journal:  Front Hum Neurosci       Date:  2022-03-04       Impact factor: 3.169

9.  Simulated forward and backward self motion, based on realistic parameters, causes motion induced blindness.

Authors:  Victoria Thomas; Matthew Davidson; Parisa Zakavi; Naotsugu Tsuchiya; Jeroen van Boxtel
Journal:  Sci Rep       Date:  2017-08-29       Impact factor: 4.379

10.  Influence of Vehicle Speed on the Characteristics of Driver's Eye Movement at a Highway Tunnel Entrance during Day and Night Conditions: A Pilot Study.

Authors:  Li Qin; Li-Li Dong; Wen-Hai Xu; Li-Dong Zhang; Arturo S Leon
Journal:  Int J Environ Res Public Health       Date:  2018-04-02       Impact factor: 3.390

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