| Title |
Visual and auditory reaction time for air traffic controllers using quantitative electroencephalograph (QEEG) data
|
|---|---|
| Published in |
Brain Informatics, October 2014
|
| DOI | 10.1007/s40708-014-0005-8 |
| Pubmed ID | |
| Authors |
Hussein A. Abbass, Jiangjun Tang, Mohamed Ellejmi, Stephen Kirby |
| Abstract |
The use of quantitative electroencephalograph in the analysis of air traffic controllers' performance can reveal with a high temporal resolution those mental responses associated with different task demands. To understand the relationship between visual and auditory correct responses, reaction time, and the corresponding brain areas and functions, air traffic controllers were given an integrated visual and auditory continuous reaction task. Strong correlations were found between correct responses to the visual target and the theta band in the frontal lobe, the total power in the medial of the parietal lobe and the theta-to-beta ratio in the left side of the occipital lobe. Incorrect visual responses triggered activations in additional bands including the alpha band in the medial of the frontal and parietal lobes, and the Sensorimotor Rhythm in the medial of the parietal lobe. Controllers' responses to visual cues were found to be more accurate but slower than their corresponding performance on auditory cues. These results suggest that controllers are more susceptible to overload when more visual cues are used in the air traffic control system, and more errors are pruned as more auditory cues are used. Therefore, workload studies should be carried out to assess the usefulness of additional cues and their interactions with the air traffic control environment. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 50% |
| Iran, Islamic Republic of | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 20% |
| Student > Bachelor | 5 | 20% |
| Student > Master | 4 | 16% |
| Other | 3 | 12% |
| Student > Doctoral Student | 1 | 4% |
| Other | 4 | 16% |
| Unknown | 3 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 7 | 28% |
| Engineering | 5 | 20% |
| Medicine and Dentistry | 2 | 8% |
| Unspecified | 1 | 4% |
| Computer Science | 1 | 4% |
| Other | 6 | 24% |
| Unknown | 3 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 March 2015.
All research outputs
#17,728,060
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Outputs from Brain Informatics
#77
of 101 outputs
Outputs of similar age
#172,163
of 255,616 outputs
Outputs of similar age from Brain Informatics
#2
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