EEG Indices to Time-On-Task Effects and to a Workload Manipulation (Cueing)
The aim of this study was to evaluate the sensitivity
of a range of EEG indices to time-on-task effects and to a workload
manipulation (cueing), during performance of a resource-limited
vigilance task. Effects of task period and cueing on performance and
subjective state response were consistent with previous vigilance
studies and with resource theory. Two EEG indices – the Task Load
Index (TLI) and global lower frequency (LF) alpha power – showed
effects of task period and cueing similar to those seen with correct
detections. Across four successive task periods, the TLI declined and
LF alpha power increased. Cueing increased TLI and decreased LF
alpha. Other indices – the Engagement Index (EI), frontal theta and
upper frequency (UF) alpha failed to show these effects. However, EI
and frontal theta were sensitive to interactive effects of task period
and cueing, which may correspond to a stronger anxiety response to
the uncued task.
[1] M. S.Humphreys, W. Revelle, "Personality, motivation and
performance: A theory of the relationship between individual differences
and information processing," in Psychological Review, 91, pp. 153-184,
1984.
[2] J.S. Warm, W.N. Dember, "Tests of a vigilance taxonomy," in "Viewing
psychology as a whole: The integrative science of William N. Dember"
R.R. Hoffman, M.F. Sherrick & J.S.Warm Ed. Washington, DC:
American Psychological Association, 1998, pp. 87-112.
[3] L.E. Reinerman, G. Matthews, J.S. Warm, L.K. Langheim, K. Parsons,
C.A. Proctor, T. Siraj, L.D. Tripp, & R.M. Stutz, "Cerebral blood flow
velocity and task engagement as predictors of vigilance performance," in
Proceedings of the Human Factors and Ergonomics Society, 50, pp.
1254-1258, 2006.
[4] J.F. Lubar, M.O. Swartwood, J.N. Swartwood, P.H. O-Donnell,
"Evaluation of the effectiveness of EEG neurofeedback training for
ADHD in a clinical setting as measured by changes in T.O.V.A. scores,
behavioral ratings, and WISC-R performance, " in Biofeedback and Self-
Regulation, 20, pp. 83-99, 1995.
[5] K. Offenloch, G. Zahner, "Computer aided physiological assessment of
the functional state of pilots during simulated flight," in NATO Advisory
Group for Aerospace Research and DevelopmentÔÇöConference
Proceedings, vol. 490, pp. 1-9, 1990.
[6] A. Pope, E. Bogart, D. Bartolome, "Biocybernetic system evaluates
indices of operator engagement," in Biological Psychology, 40, pp.
187-196, 1995.
[7] F.G. Freeman, P.J. Mikulka, L.J. Prinzel & M.W. Scerbo, "Evaluation of
an adaptive automation system using three EEG indices with a visual
tracking task," in Biological Psychology, 50, pp. 61-76, 1999.
[8] C. Berka, D.J. Levendowski, M.N. Lumicao, A. Yau, G. Davis V.T.,
Zivkovic, R. E. Olmstead, P. D. Tremoulet, P.L., Craven, "EEG
Correlates of Task Engagement and Mental Workload in Vigilance,
Learning, and Memory Tasks," in Aviation, Space, and Environmental
Medicine, vol. 78, no. 5, pp. 231-244, May 2007.
[9] A. Gevins, M.E. Smith, L. McEvoy, D. Yu, "High-resolution EEG
mapping of cortical activation related to working memory: effects of
task difficulty, type of processing, and practice," in Cerebral Cortex, 7,
pp. 374-85, 1997.
[10] S.H. Fairclough, L. Venables, "Tattersall The influence of task demand
and learning on the psychophysiological response," International J of
Psychophysiology, 56, pp. 171- 184, 2005.
[11] A. Holm, K. Lukander, J. Korpela, M. Sallinen, K.M.I. M├╝ller,
"Estimating brain load from the EEG," TheScientificWorld J, vol. 9, pp.
639-651, 2009.
[12] ðÉ. Nassef, M. Mahfouf, D.A. Linkens, E. Elsamahy, A. Roberts, P.
Nickel, G.R.J. Hockey, G. Panoutsos, "The Assessment of Heart Rate
Variability (HRV) and Task Load Index (TLI) as Physiological Markers
for Physical Stress," in 2009 IFMBE Proc., pp. 146-149.
[13] F. Yamada, "Frontal midline theta rhythm and eyeblinking activity
during a VDT task and a video game: useful tools for psychophysiology
in ergonomics," in Ergonomics, vol. 41, no. 5, pp. 678-688, 1998.
[14] W. Klimesch, "EEG alpha and theta oscillations reflect cognitive and
memory performance: A review and analysis," in Brain Research
Reviews, 29, pp. 169-195, 1999.
[15] E.M. Hitchcock, W.N. Dember, J.S. Warm, B.W. Moroney, J.E. See,
"Effects of cueing and knowledge of results on workload and boredom
in sustained attention," in Human Factors. vol. 41, pp. 365-372, 1999.
[16] G.R.J. Hockey, P. Nickel, A.C. Roberts, M.H., "Roberts Sensitivity of
candidate markers of psychophysiological strain to cyclical changes in
manual control load during simulated process control," in Applied
Ergonomics, 40, pp. 1011-1018, 2009.
[1] M. S.Humphreys, W. Revelle, "Personality, motivation and
performance: A theory of the relationship between individual differences
and information processing," in Psychological Review, 91, pp. 153-184,
1984.
[2] J.S. Warm, W.N. Dember, "Tests of a vigilance taxonomy," in "Viewing
psychology as a whole: The integrative science of William N. Dember"
R.R. Hoffman, M.F. Sherrick & J.S.Warm Ed. Washington, DC:
American Psychological Association, 1998, pp. 87-112.
[3] L.E. Reinerman, G. Matthews, J.S. Warm, L.K. Langheim, K. Parsons,
C.A. Proctor, T. Siraj, L.D. Tripp, & R.M. Stutz, "Cerebral blood flow
velocity and task engagement as predictors of vigilance performance," in
Proceedings of the Human Factors and Ergonomics Society, 50, pp.
1254-1258, 2006.
[4] J.F. Lubar, M.O. Swartwood, J.N. Swartwood, P.H. O-Donnell,
"Evaluation of the effectiveness of EEG neurofeedback training for
ADHD in a clinical setting as measured by changes in T.O.V.A. scores,
behavioral ratings, and WISC-R performance, " in Biofeedback and Self-
Regulation, 20, pp. 83-99, 1995.
[5] K. Offenloch, G. Zahner, "Computer aided physiological assessment of
the functional state of pilots during simulated flight," in NATO Advisory
Group for Aerospace Research and DevelopmentÔÇöConference
Proceedings, vol. 490, pp. 1-9, 1990.
[6] A. Pope, E. Bogart, D. Bartolome, "Biocybernetic system evaluates
indices of operator engagement," in Biological Psychology, 40, pp.
187-196, 1995.
[7] F.G. Freeman, P.J. Mikulka, L.J. Prinzel & M.W. Scerbo, "Evaluation of
an adaptive automation system using three EEG indices with a visual
tracking task," in Biological Psychology, 50, pp. 61-76, 1999.
[8] C. Berka, D.J. Levendowski, M.N. Lumicao, A. Yau, G. Davis V.T.,
Zivkovic, R. E. Olmstead, P. D. Tremoulet, P.L., Craven, "EEG
Correlates of Task Engagement and Mental Workload in Vigilance,
Learning, and Memory Tasks," in Aviation, Space, and Environmental
Medicine, vol. 78, no. 5, pp. 231-244, May 2007.
[9] A. Gevins, M.E. Smith, L. McEvoy, D. Yu, "High-resolution EEG
mapping of cortical activation related to working memory: effects of
task difficulty, type of processing, and practice," in Cerebral Cortex, 7,
pp. 374-85, 1997.
[10] S.H. Fairclough, L. Venables, "Tattersall The influence of task demand
and learning on the psychophysiological response," International J of
Psychophysiology, 56, pp. 171- 184, 2005.
[11] A. Holm, K. Lukander, J. Korpela, M. Sallinen, K.M.I. M├╝ller,
"Estimating brain load from the EEG," TheScientificWorld J, vol. 9, pp.
639-651, 2009.
[12] ðÉ. Nassef, M. Mahfouf, D.A. Linkens, E. Elsamahy, A. Roberts, P.
Nickel, G.R.J. Hockey, G. Panoutsos, "The Assessment of Heart Rate
Variability (HRV) and Task Load Index (TLI) as Physiological Markers
for Physical Stress," in 2009 IFMBE Proc., pp. 146-149.
[13] F. Yamada, "Frontal midline theta rhythm and eyeblinking activity
during a VDT task and a video game: useful tools for psychophysiology
in ergonomics," in Ergonomics, vol. 41, no. 5, pp. 678-688, 1998.
[14] W. Klimesch, "EEG alpha and theta oscillations reflect cognitive and
memory performance: A review and analysis," in Brain Research
Reviews, 29, pp. 169-195, 1999.
[15] E.M. Hitchcock, W.N. Dember, J.S. Warm, B.W. Moroney, J.E. See,
"Effects of cueing and knowledge of results on workload and boredom
in sustained attention," in Human Factors. vol. 41, pp. 365-372, 1999.
[16] G.R.J. Hockey, P. Nickel, A.C. Roberts, M.H., "Roberts Sensitivity of
candidate markers of psychophysiological strain to cyclical changes in
manual control load during simulated process control," in Applied
Ergonomics, 40, pp. 1011-1018, 2009.
@article{"International Journal of Business, Human and Social Sciences:57996", author = "A. T. Kamzanova and G. Matthews and A. M. Kustubayeva and S. M. Jakupov", title = "EEG Indices to Time-On-Task Effects and to a Workload Manipulation (Cueing)", abstract = "The aim of this study was to evaluate the sensitivity
of a range of EEG indices to time-on-task effects and to a workload
manipulation (cueing), during performance of a resource-limited
vigilance task. Effects of task period and cueing on performance and
subjective state response were consistent with previous vigilance
studies and with resource theory. Two EEG indices – the Task Load
Index (TLI) and global lower frequency (LF) alpha power – showed
effects of task period and cueing similar to those seen with correct
detections. Across four successive task periods, the TLI declined and
LF alpha power increased. Cueing increased TLI and decreased LF
alpha. Other indices – the Engagement Index (EI), frontal theta and
upper frequency (UF) alpha failed to show these effects. However, EI
and frontal theta were sensitive to interactive effects of task period
and cueing, which may correspond to a stronger anxiety response to
the uncued task.", keywords = "brain activity, EEG, task engagement, vigilance task.", volume = "5", number = "8", pages = "1040-4", }
