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Erschienen in:
Comparison of Joint Angle Measurements from Three Types of Motion Capture Systems for Ergonomic Postural Assessment Kapitel lesen Erstes Kapitel lesen

2020 | OriginalPaper | Buchkapitel

Looking Toward the Future of Mental Workload Research Through the Past: A Bibliometric Analysis of 1990–2020

verfasst von : Yi Ding, Yaqin Cao, Vincent G. Duffy

Erschienen in: Advances in Physical, Social & Occupational Ergonomics

Verlag: Springer International Publishing

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Abstract

This article aims to conduct a bibliometric analysis of mental workload from 1990 to 2020. Publication source, publication organization, authors, country, citation of articles, citation of country and organization were recorded and analyzed. Bibliometric maps of authorship, citation, co-citation and network of co-occurrence of keywords are drawn. 11,157 articles and 461,366 cited references were analyzed. The USA dominates the publications (4748, 42.56%) and citations (159434 times). George Mason University (36) is the most productive organization. Murai (59) is the most productive author. Ergonomics is the top journal with the most papers about mental workload. Hart and Staveland’s paper (1988) is the most co-cited. The latest burst keyword analysis shows that “machine learning”, “classification”, “automation”, “physiology” and “mental health” have and burst end time of 2020. As for researchers and practitioners, this paper suggests an analysis of integrated visualization based on the area of mental workload in human factors and ergonomics.

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Vorheriges Kapitel Corporate Mental Health Program
Nächstes Kapitel Quality of Work Life and Burnout in Workers of a Health Institution in Guadalajara, México
Literatur
1.
Akca, M., Küçükoğlu, M.T.: Relationships between mental workload, burnout, and job performance: a research among academicians. In: Evaluating Mental Workload for Improved Workplace Performance, pp. 49–68. IGI Global (2020)
2.
Young, M.S., Brookhuis, K.A., Wickens, C.D., Hancock, P.A.: State of science: mental workload in ergonomics. Ergonomics 58(1), 1–17 (2015)CrossRef
3.
Hancock, P.A., Meshkati, N. (eds.): Human Mental Workload. North-Holland, Amsterdam (1988)
4.
Moray, N.: Mental workload since 1979. In: Oborne, D. (Ed.) International Reviews of Ergonomics, vol. 2, pp. 123–150 (1989)
5.
Baddeley, A.D., Logie, R.H.: Working memory: The multiple-component model (1999)
6.
Kahneman, D.: Attention and Effort, vol. 1063. Prentice-Hall, Englewood Cliffs (1973)
7.
Paas, F.G., Van Merriënboer, J.J., Adam, J.J.: Measurement of cognitive load in instructional research. Percept. Mot. Skills 79(1), 419–430 (1994)CrossRef
8.
Wickens, C.D.: Multiple resources and mental workload. Hum. Factors 50(3), 449–455 (2008)CrossRef
9.
Hancock, P.A., Matthews, G.: Workload and performance: associations, insensitivities, and dissociations. Hum. Factors 61(3), 374–392 (2019)CrossRef
10.
Matthews, G., Reinerman-Jones, L.E., Barber, D.J., Abich IV, J.: The psychometrics of mental workload: multiple measures are sensitive but divergent. Hum. Factors 57(1), 125–143 (2015)CrossRef
11.
Charles, R.L., Nixon, J.: Measuring mental workload using physiological measures: a systematic review. Appl. Ergon. 74, 221–232 (2019)CrossRef
12.
Tao, D., Tan, H., Wang, H., Zhang, X., Qu, X., Zhang, T.: A systematic review of physiological measures of mental workload. Int. J. Environ. Res. Public Health 16(15), 2716 (2019)CrossRef
13.
Jorna, P.G.: Spectral analysis of heart rate and psychological state: a review of its validity as a workload index. Biol. Psychol. 34(2–3), 237–257 (1992)CrossRef
14.
Kramer, A.F.: Physiological metrics of mental workload: a review of recent progress. Multiple-task Perform. 279–328 (1991)
15.
Lean, Y., Shan, F.: Brief review on physiological and biochemical evaluations of human mental workload. Hum. Factors Ergon. Manuf. Serv. Ind. 22(3), 177–187 (2012)CrossRef
16.
17.
Lee, V.H., Hew, J.J.: Is TQM fading away? a bibliometric analysis of a decade (2006–2015). Int. J. Serv. Econ. Manage. 8(4), 227–249 (2018)
18.
19.
Chen, C.: Eugene Garfield’s scholarly impact: a scientometric review. Scientometrics 114(2), 489–516 (2018)CrossRef
20.
21.
Wickens, C.D.: Multiple resources and performance prediction. Theor. Issues Ergon. Sci. 3(2), 159–177 (2002)CrossRef
22.
Hart, S.G., Staveland, L.E.: Development of NASA-TLX (Task Load Index): results of empirical and theoretical research. In: Hancock, P.A., Meshkati, N. (eds.) Human Mental Workload. North Holland Press, Amsterdam (1988)
23.
Wilson, G.F.: An analysis of mental workload in pilots during flight using multiple psychophysiological measures. Int. J. Aviation Psychol. 12(1), 3–18 (2002)MathSciNetCrossRef
24.
Parasuraman, R., Riley, V.: Humans and automation: use, misuse, disuse, abuse. Hum. Factors 39(2), 230–253 (1997)CrossRef
25.
Hancock, P.A.: A dynamic model of stress and sustained attention. Hum. Factors 31(5), 519–537 (1989)CrossRef
26.
Hart, S.G.: NASA-task load index (NASA-TLX); 20 years later. In: Proceedings of the Human Factors and Ergonomics Society Annual Meeting, vol. 50, no. 9, pp. 904–908. CA: Sage Publications, Los Angeles, October 2006
27.
Gopher, D., Braune, R.: On the psychophysics of workload: why bother with subjective measures? Hum. Factors 26(5), 519–532 (1984)CrossRef
28.
Veltman, J.A., Gaillard, A.W.K.: Physiological workload reactions to increasing levels of task difficulty. Ergonomics 41(5), 656–669 (1998)CrossRef
29.
Young, M.S., Stanton, N.A.: Malleable attentional resources theory: a new explanation for the effects of mental underload on performance. Hum. Factors 44(3), 365–375 (2002)CrossRef
30.
Kleinberg, J.: Bursty and hierarchical structure in streams. In: Proceedings of the 8th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp. 91–101. ACM Press, Edmonton (2002)
31.
Hogervorst, M.A., Brouwer, A.M., Van Erp, J.B.: Combining and comparing EEG, peripheral physiology and eye-related measures for the assessment of mental workload. Front. Neurosci. 8, 322 (2014)CrossRef
32.
Borghini, G., Astolfi, L., Vecchiato, G., Mattia, D., Babiloni, F.: Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness. Neurosci. Biobehav. Rev. 44, 58–75 (2014)CrossRef
33.
Wang, S., Gwizdka, J., Chaovalitwongse, W.A.: Using wireless EEG signals to assess memory workload in the n-back task. IEEE Trans. Hum. Machine Syst. 46(3), 424–435 (2015)CrossRef
34.
Fallahi, M., Motamedzade, M., Heidarimoghadam, R., Soltanian, A.R., Miyake, S.: Effects of mental workload on physiological and subjective responses during traffic density monitoring: a field study. Appl. Ergon. 52, 95–103 (2016)CrossRef
Metadaten
Titel
Looking Toward the Future of Mental Workload Research Through the Past: A Bibliometric Analysis of 1990–2020
verfasst von
Yi Ding
Yaqin Cao
Vincent G. Duffy
Copyright-Jahr
2020
Buch
Advances in Physical, Social & Occupational Ergonomics

Print ISBN: 978-3-030-51548-5

Electronic ISBN: 978-3-030-51549-2

Copyright-Jahr: 2020

DOI
https://doi.org/10.1007/978-3-030-51549-2_64

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