Abstract
Non-intrusive measures of mental workload signals are desirable, because they minimize artificially introduced noise, and can be more accurate. A new approach for non-intrusive personalized mental workload evaluation is presented. Our research results show that human mental workload is unique to each person, non-stationary, and not zero-state.
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Cain, B.: A review of the mental workload literature (2007)
Brookhuis, K.A., de Waard, D.: On the assessment of (mental) workload and other subjective qualifications. In: Ergonomics, November 15, 2002, pp. 1026–1030 (2002); discussion 1042-6
Hancock, P.A., Caird, J.K.: Experimental evaluation of a model of mental workload. In: Hum. Factors, vol. 35, pp. 413–429 (September 1993)
Hancock, P.A., Meshkati, N.: Human mental workload. North-Holland, Amsterdam, Sole distributors for the U.S.A. and Canada. Elsevier Science Pub. Co. (1988)
Hancock, P.A., Meshkati, N., Robertson, M.M.: Physiological reflections of mental workload. Aviat. Space Environ. Med. 56, 1110–1114 (1985)
Hankins, T.C., Wilson, G.F.: A comparison of heart rate, eye activity, EEG and subjective measures of pilot mental workload during flight. Aviat. Space Environ. Med. 69, 360–367 (1998)
Itoh, Y., Hayashi, Y., Tsukui, I., Saito, S.: The ergonomic evaluation of eye movement and mental workload in aircraft pilots. Ergonomics 33, 719–733 (1990)
Murata, A., Iwase, H.: Evaluation of mental workload by fluctuation analysis of pupil area. In: Proceedings of the 20th Annual International Conference of the IEEE, Engineering in Medicine and Biology Society, vol. 6, pp. 3094–3097 (1998)
Sekiguchi, C., Handa, Y., Gotoh, M., Kurihara, Y., Nagasawa, A., Kuroda, I.: Evaluation method of mental workload under flight conditions. In: Aviat. Space Environ. Med., vol. 49, pp. 920–925 (July 1978)
Wierwille, W.W.: Physiological measures of aircrew mental workload. Hum. Factors 21, 575–593 (1979)
Wilson, G.F., Russell, C.A.: Real-time assessment of mental workload using psychophysiological measures and artificial neural networks. Hum. Factors 45, 635–643 (Winter 2003)
Daugman, J.: New Methods in Iris Recognition. IEEE Transactions on Systems, Man, and Cybernetics, Part B 37, 1167–1175 (2007)
Du, Y.: Review of Iris Recognition: Cameras, Systems, and Their Applications. Sensor Review 26, 66–69 (2006)
Proenca, H., Alexandre, L.A.: Toward Noncooperative Iris Recognition: A Classification Approach Using Multiple Signatures. IEEE Transactions on Pattern Analysis and Machine Intelligence 29, 607–612 (2007)
Daugman, J.: Probing the Uniqueness and Randomness of IrisCodes: Results From 200 Billion Iris Pair Comparisons. Proceedings of the IEEE 94, 1927–1935 (2006)
Neumann, D.L.: Effect of varying levels of mental workload on startle eyeblink modulation. Ergonomics 45, 583–602 (2002)
Recarte, M.A., Perez, E., Conchillo, A., Nunes, L.M.: Mental workload and visual impairment: differences between pupil, blink, and subjective rating. Span J. Psychol. 11, 374–385 (2008)
Backs, R.W., Walrath, L.C.: Eye movement and pupillary response indices of mental workload during visual search of symbolic displays. Appl. Ergon. 23, 243–254 (1992)
Cao, A., Chintamani, K.K., Pandya, A.K., Ellis, R.D.: NASA TLX: Software for assessing subjective mental workload. Behav. Res. Methods 41, 113–117 (2009)
Moray, N., NATO Special Program Panel on Human Factors: Published in coordination with NATO Scientific Affairs, Plenum Press, New York (1979)
Rouse, W.B., Edwards, S.L., Hammer, J.M.: Modeling the dynamics of mental workload and human performance in complex systems. IEEE Transactions on Systems, Man and Cybernetics 23, 1662–1671 (1993)
Satava, R.M.: Mental workload: a new parameter for objective assessment? Surg. Innov. 12, 79 (2005)
Young, M.S., Stanton, N.A.: It’s all relative: defining mental workload in the light of Annett’s paper. Ergonomics 45, 1018–1020 (2002); discussion 1042-6
Thomas, N.L., Du, Y., Artavatkun, T., She, J.: A New Approach for Low-Cost Eye Tracking and Pupil Measurement for Workload Evaluation. In: 13th International Conference on Human-Computer Interaction (HCI) (2009)
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Thomas, N.L., Du, Y., Artavatkun, T., She, Jh. (2009). Non-intrusive Personalized Mental Workload Evaluation for Exercise Intensity Measure. In: Duffy, V.G. (eds) Digital Human Modeling. ICDHM 2009. Lecture Notes in Computer Science, vol 5620. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02809-0_34
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DOI: https://doi.org/10.1007/978-3-642-02809-0_34
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