Abstract
The aim of the present study was to examine the relationship between experienced mental workload and physiological response by multi-modal data. The participants were required to perform a test simulation task that imposed varying level of mental resource demand. At the same time physiological parameters (heart interbeat intervals, electromyography, and galvanic skin response) were recorded by non-invasive wearable sensors. The subjective ratings of mental workload were also collected after the experiment. Results shown that LF/HF was significantly larger in difficult level of task than middle and easy levels but between middle and easy levels of tasks. Moreover, the average of SC was significantly larger in difficult and middle levels of tasks than the easy level but between difficult and middle levels of tasks. There were significantly positive correlations between the subjective evaluation of mental workload and LF/HF and between the subjective evaluation and behavioral performance.
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References
Punnett, L., Bergqvist, U.: Visual display unit work and upper extremity musculoskeletal disorders: a review of epidemiological findings. Arb. Och Halsa. 16, 1–161 (1997)
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)
Bommer, S.C., Fendley, M.: A theoretical framework for evaluating mental workload resources in human systems design for manufacturing operations. Int. J. Ind. Ergon. 63, 7–17 (2018)
Stasi, L.L.D., Adoración, A., Gea, M., Cañas, J.J.: A neuroergonomic approach to evaluating mental workload in hypermedia interactions. Int. J. Ind. Ergon. 41(3), 298–304 (2011)
Charles, R.L., Nixon, J.: Measuring mental workload using physiological measures: a systematic review. Appl. Ergon. 74, 221–232 (2019)
Kramer, A.F.: Physiological metrics of mental workload: a review of recent progress. In: Damos, D.L. (ed.) Multiple-Task Performance, pp. 279–328. Taylor and Francis Press, London (1991)
Maior, H.A., Wilson, M.L., Sharples, S.: Workload alerts—using physiological measures of mental workload to provide feedback during tasks. ACM Trans. Comput. Hum. Interact. 25(2), 1–30 (2018)
Wickens, C.D.: Mental workload: assessment, prediction and consequences. In: Longo, L., Leva, M.C. (eds.) Human Mental Workload: Models and Applications. Communications in Computer and Information Science, pp. 251–263. Springer Press, Dublin (2017)
Kostenko, A., Rauffet, P., Chauvin, C., Coppin, G.: A dynamic closed-looped and multidimensional model for mental workload evaluation. IFAC-PapersOnLine 49(19), 549–554 (2016)
Gawron, V.J.: Human Performance, Workload, and Situational Awareness Measures Handbook, 2nd edn. CRC Press, Boca Raton (2008)
Hart, S.G., Staveland, L.E.: Development of NASA-TLX. In: Hancock, P.A., Meshkati, N. (eds.) Human Mental Workload, pp. 139–183. Elsevier Science, Amsterdam (1988)
Lean, Y., Shan, F.: Brief review on physiological and biochemical evaluations of human mental workload. Hum. Factor. Ergon. Man. 22(3), 177–187 (2012)
Fallahi, M., Motamedzade, M., Heidarimoghadam, R., Soltanian, A.R., Farhadian, M., Miyake, S.: Analysis of the mental workload of city traffic control operators while monitoring traffic density: a field study. Int. J. Ind. Ergon. 54, 170–177 (2016)
Tattersall, A.J., Foord, P.S.: An experimental evaluation of instantaneous self-assessment as a measure of workload. Ergonomics 39(5), 740–748 (1996)
Marinescu, A.C., Sharples, S., Ritchie, A.C., Sánchez, T., McDowell, L.M., Morvan, H.P.: Physiological parameter response to variation of mental workload. Hum. Factors 60(1), 31–56 (2018)
Splawn, J.M., Miller, M.E.: Prediction of perceived workload from task performance and heart rate measures. In: Proceedings of the Human Factors and Ergonomics Society 57th Annual Meeting, vol. 57, no. 1, pp. 778–782. Sage Publication, Francisco (2013)
Fournier, L.R., Wilson, G.F., Swain, C.R.: Electrophysiological, behavioral, and subjective indexes of workload when performing multiple tasks: manipulations of task difficulty and training. Int. J. Psychophysiol. 31, 129–145 (1999)
De Rivecourt, M., Kuperus, M.N., Post, W.J., Mulder, L.J.M.: Cardiovascular and eye activity measures as indices for momentary changes in mental effort during simulated flight. Ergonomics 51(9), 1295–1319 (2008)
Veltman, J.A., Gaillard, A.W.K.: Physiological workload reactions to increasing levels of task difficulty. Ergonomics 41(5), 656–669 (1998)
Xu, X.: Analysis on Mental Stress/Workload Using Heart Rate Variability and Galvanic Skin Response During Design. Concordia University, Montreal (2014)
Engström, J., Johansson, E., Östlund, J.: Effects of visual and cognitive load in real and simulated motorway driving. Transport. Res. F Traffic Psychol. Behav. 8(2), 97–120 (2005)
Fairclough, S.H., Venables, L.: Prediction of subjective states from psychophysiology: a multivariate approach. Biol. Psychol. 71, 100–110 (2006)
Collet, C., Salvia, E., Petit-Boulanger, C.: Measuring workload with electrodermal activity during common braking actions. Ergonomics 57(6), 886–896 (2014)
Cao, Y., Qu, Q., Duffy, V.G., Ding, Y.: Attention for web directory advertisements: a top-down or bottom-up process? Int. J. Hum. Comput. Int. 35(1), 89–98 (2019)
Norman, D.A.: Emotional Design: Why We Love (Or Hate) Everyday Things. Basic Books, New York (2007)
Causse, M., Sénard, J.M., Démonet, J.F., Pastor, J.: Monitoring cognitive and emotional processes through pupil and cardiac response during dynamic versus logical task. Appl. Psychophys. Biof. 35(2), 115–123 (2010)
Hartley, L.R., Arnold, P.K., Smythe, G., Hansen, J.: Indicators of fatigue in truck drivers. Appl. Ergon. 25(3), 143–156 (1994)
Cinaz, B., Arnrich, B., Marca, R.L., Tröster, G.: Monitoring of mental workload levels during an everyday life office-work scenario. Pers. Ubiquit. Comput., 17(2), 229–239 (2013)
Orlandi, L., Brooks, B.: Measuring mental workload and physiological reactions in marine pilots: building bridges towards redlines of performance. Appl. Ergon. 69, 74–92 (2018)
Miyake, S., Yamada, S., Shoji, T., Takae, Y., Kuge, N., Yamamura, T.: Physiological responses to workload change: a test/retest examination. Appl. Ergon. 40(6), 987–996 (2009)
Acknowledgments
This work is supported by the National Natural Science Foundation of China (No. 71801002, 71701003), the Humanities and Social Sciences Foundation of the Ministry of Education in China (No. 18YJC630023), the Anhui Natural Science Foundation Project (No. 1808085QG228), the Key Project for Natural Science Fund of Colleges in Anhui Province (No. KJ2017A108). We thank the research support plan from Beijing Kingfar technology CO., LTD (China) for providing related equipment and scientific and technological support. We thank all the participants for carrying out the experiments.
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Ding, Y., Cao, Y., Wang, Y. (2020). Physiological Indicators of Mental Workload in Visual Display Terminal Work. In: Goonetilleke, R., Karwowski, W. (eds) Advances in Physical Ergonomics and Human Factors. AHFE 2019. Advances in Intelligent Systems and Computing, vol 967. Springer, Cham. https://doi.org/10.1007/978-3-030-20142-5_9
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