The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.
Real-Time Analysis of EEG Indexes of Alertness, Cognition, and Memory Acquired With a Wireless EEG Headset
Abstract
The integration of brain monitoring into the man-machine interface holds great promise for real-time assessment of operator status and intelligent allocation of tasks between machines and humans. This article presents an integrated hardware and software solution for acquisition and real-time analysis of the electroencephalogram (EEG) to monitor indexes of alertness, cognition, and memory. Three experimental paradigms were evaluated in a total of 45 participants to identify EEG indexes associated with changes in cognitive workload: the Warship Commander Task (WCT), a simulated navy command and control environment that allowed workload levels to be systematically manipulated; a cognitive task with three levels of difficulty and consistent sensory inputs and motor outputs; and a multisession image learning and recognition memory test. Across tasks and participants, specific changes in the EEG were identified that were reliably associated with levels of cognitive workload. The EEG indexes were also shown to change as a function of training on the WCT and the learning and memory task. Future applications of the system to augment cognition in military and industrial environments are discussed.
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Shiffrin, R. M., & Schneider, W. (1977) · Psychological Review · doi:10.1037/0033-295x.84.2.127 · Cited by 7,335
Egeth, H., & Kahneman, D. (1975) · The American Journal of Psychology · doi:10.2307/1421603 · Cited by 6,972
Controlled and automatic human information processing: I. Detection, search, and attention.
Schneider, W., & Shiffrin, R. M. (1977) · Psychological Review · doi:10.1037/0033-295x.84.1.1 · Cited by 5,902
Engineering Psychology and Human Performance
Wickens, C. D., Hollands, J. G., Banbury, S., & Parasuraman, R. (2015) · Psychology Press eBooks · doi:10.4324/9781315665177 · Cited by 4,982
(2001) · doi:10.1017/cbo9780511546396 · Cited by 4,482
Electrical Signs of Selective Attention in the Human Brain
Hillyard, S. A., Hink, R. F., Schwent, V. L., & Picton, T. W. (1973) · Science · doi:10.1126/science.182.4108.177 · Cited by 1,934
On the utility of P3 amplitude as a measure of processing capacity
Kok, A. (2001) · Psychophysiology · doi:10.1017/s0048577201990559 · Cited by 1,766
Gevins, A. (1997) · Cerebral Cortex · doi:10.1093/cercor/7.4.374 · Cited by 1,623
Practice-related Changes in Human Brain Functional Anatomy during Nonmotor Learning
Raichle, M. E., Fiez, J. A., Videen, T. O., MacLeod, A.-M. K., Pardo, J. V., Fox, P. T., & Petersen, S. E. (1994) · Cerebral Cortex · doi:10.1093/cercor/4.1.8 · Cited by 1,593
Psychophysiology: Systems, Processes, and Applications
Muncy, J. A., Coles, M. G. H., Donchin, E., & Porges, S. W. (1987) · Journal of Marketing Research · doi:10.2307/3151514 · Cited by 1,014
Research works printed but not linked: 6
- Balkin, T. J. (2001, August). Sleep deprivation research at WRAIR. Paper presented at the DARPA Workshop, Las Vegas, NV.
- Berka, C., Levendowski, D. J., Konstantinovic, Z. R., Olmstead, R. E., Davis, G. & Lumicao, M. N. (2000, July). Detection of drowsiness with realtime analysis of the electroencephalogram (EEG). Paper presented at the National Institutes of Health SBIR Conference, Bethesda, MD.
- 10.1016/0301-0511(95)05115-5 · doi:10.1016/0301-0511(95)05115-5
- Parasuraman, R., Mouloua, M. & Hilburn, B. (1999). Adaptive aiding and adaptive task allocation enhance human-machine interaction. In M. W. Scerbo & M. Mouloua (Eds.), Automation technology and human performance: Current research and trends (pp. 119-123). Mahwah, NJ: Lawrence Erlbaum Associates, Inc.
- 10.1037//0033-295X.84.2.127 · doi:10.1037//0033-295x.84.2.127 · Paper page
- Wickens, C. D. & Holland, J. G. (1984). Engineering psychology and human performance (3rd ed.). Englewood Cliffs, NJ: Prentice Hall.
Cited by
Emotion Assessment From Physiological Signals for Adaptation of Game Difficulty
Chanel, G., Rebetez, C., Bétrancourt, M., & Pun, T. (2011) · IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans · doi:10.1109/tsmca.2011.2116000 · Cited by 398
Fatigue Countermeasures in Aviation
Caldwell, J. A., Mallis, M. M., Caldwell, J. L., Paul, M. A., Miller, J. C., & Neri, D. F. (2009) · Aviation, Space, and Environmental Medicine · doi:10.3357/asem.2435.2009 · Cited by 295
A Survey on Measuring Cognitive Workload in Human-Computer Interaction
Kosch, T., Karolus, J., Zagermann, J., Reiterer, H., Schmidt, A., & Woźniak, P. W. (2023) · ACM Computing Surveys · doi:10.1145/3582272 · Cited by 304
Aricò, P., Borghini, G., Di Flumeri, G., Colosimo, A., Pozzi, S., & Babiloni, F. (2016) · Progress in Brain Research · doi:10.1016/bs.pbr.2016.04.021 · Cited by 145
Christensen, J. C., Estepp, J. R., Wilson, G. F., & Russell, C. A. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.07.091 · Cited by 144
Metadata
- Authors
- Berka, C., Levendowski, D. J., Cvetinovic, M. M., Petrovic, M. M., Davis, G., Lumicao, M. N., Zivkovic, V. T., Popovic, M. V., & Olmstead, R.
- Venue
- International Journal of Human-Computer Interaction
- Publisher
- Informa UK Limited
- Published
- 2004-06
- Volume
- 17
- Issue
- 2
- Pages
- 151-170
- ISSN
- 1044-7318 (ISSN-L)
- 1532-7590
- OpenAlex
- W2023521272
- Cited by
- 388
- References
- 46
- FWCI
- 3.52
- Type
- journal article
- Language
- en
- Open access
- closed
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- Berka, C., Levendowski, D. J., Cvetinovic, M. M., Petrovic, M. M., Davis, G., Lumicao, M. N., Zivkovic, V. T., Popovic, M. V., & Olmstead, R. (2004). Real-Time Analysis of EEG Indexes of Alertness, Cognition, and Memory Acquired With a Wireless EEG Headset. International Journal of Human-Computer Interaction. https://doi.org/10.1207/s15327590ijhc1702_3
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
