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Journal of Intelligent Manufacturing

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23.01.2016

Effects of stress and effort on self-rated reports in experimental study of design activities

Erschienen in: Journal of Intelligent Manufacturing | Ausgabe 7/2017

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Abstract

This paper investigates the relationships between subjective rating measure and physiological measure of mental stress and mental effort during design activities. Mental stress and mental effort were captured by skin conductance and EEG beta2 power (20–30 Hz) whereas self-rated mental stress and self-rated mental effort were obtained using the NASA Task Load Index. A strong association between self-rated effort and EEG beta2 power was found in several design tasks. The analysis shows that self-rating is by itself a mental activity which may be affected by psychological stress and may be influenced by the amount of cognitive effort allocated. Researchers who rely on subjective rating should take into account the stress and effort of respondents during the rating activities to ensure the validity of the self-report measures. The study also demonstrated that design tasks induced mental stress that continued to stay above the baseline even after the tasks were completed.

Vorheriger Artikel Capturing emotion reactivity through physiology measurement as a foundation for affective engineering in engineering design science and engineering practices

Nächster Artikel Towards a product design assessment of visual analytics in decision support applications: a systematic review

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Aurup, G. M., & Akgunduz, A. (2012). Pair-wise preference comparisons using alpha-peak frequencies. Journal of Integrated Design and Process Science, 16(4), 3–18. doi:10.3233/jid-2012-0021.

Baer, M., & Oldham, G. R. (2006). The curvilinear relation between experienced creative time pressure and creativity: Moderating effects of openness to experience and support for creativity. Journal of Applied Psychology, 91(4), 963–970. doi:10.1037/0021-9010.91.4.963.CrossRef

Byers, J. C., Bittner, A. C., & Hill, S. G. (1989). Traditional and raw task load index (TLX) correlations: Are paired comparisons necessary. Advances in Industrial Ergonomics and Safety, I, 481–485.

Byron, K., Khazanchi, S., & Nazarian, D. (2010). The relationship between stressors and creativity: A meta-analysis examining competing theoretical models. Journal of Applied Psychology, 95(1), 201–212. doi:10.1037/a0017868.CrossRef

Chang, Y.-C., & Huang, S.-L. (2012). The influence of attention levels on psychophysiological responses. International Journal of Psychophysiology, 86(1), 39–47. doi:10.1016/j.ijpsycho.2012.09.001.CrossRef

Chang, C.-L., & Luh, D.-B. (2012). User as designer: A design model of user creativity platforms. Journal of Integrated Design and Process Science, 16(4), 19–30.

Cheetham, A. H., & Hazel, J. E. (1969). Binary (presence-absence) similarity coefficients. Journal of Paleontology, 43(5), 1130–1136.

Coatanéa, E., Nonsiri, S., Roca, R., Mokammel, F., Kruck, J., & Christophe, F. (2015). Systematic search for design contradictions in systems’ architecture: Toward a computer aided analysis. Journal of Integrated Design and Process Science, 19(1), 25–46.CrossRef

Cohen, S., Kamarck, T., & Mermelstein, R. (1983). A global measure of perceived stress. Journal of Health and Social Behavior, 24(4), 385–396.

Dietrich, A., & Kanso, R. (2010). A review of EEG, ERP, and neuroimaging studies of creativity and insight. Psychological Bulletin, 136(5), 822.CrossRef

Fairclough, S. H., & Mulder, L. J. M. (2012). Psychophysiological processes of mental effort investment. In R. A. Wright & G. H. E. Gendolla (Eds.), How motivation affects cardiovascular response: Mechanisms and applications (pp. 61–76). Washington, DC: American Psychological Association.CrossRef

Fink, A., Grabner, R. H., Neuper, C., & Neubauer, A. C. (2005). EEG alpha band dissociation with increasing task demands. Cognitive Brain Research, 24(2), 252–259. doi:10.1016/j.cogbrainres.2005.02.002.CrossRef

Goel, A. K., Vattam, S., Wiltgen, B., & Helms, M. (2012). Cognitive, collaborative, conceptual and creative—four characteristics of the next generation of knowledge-based CAD systems: A study in biologically inspired design. Computer-Aided Design, 44(10), 879–900. doi:10.1016/j.cad.2011.03.010.CrossRef

Goljahani, A., D’Avanzo, C., Schiff, S., Amodio, P., Bisiacchi, P., & Sparacino, G. (2012). A novel method for the determination of the EEG individual alpha frequency. NeuroImage, 60(1), 774–786. doi:10.1016/j.neuroimage.2011.12.001.CrossRef

Gutnick, D., Walter, F., Nijstad, B. A., & De Dreu, C. K. W. (2012). Creative performance under pressure an integrative conceptual framework. Organizational Psychology Review, 2(3), 189–207.CrossRef

Hallihan, G. M., & Shu, L. H. (2013). Considering confirmation bias in design and design research. Journal of Integrated Design and Process Science, 17(4), 19–35. doi:10.3233/jid-2013-0019.

Hart, S. G. (2006). NASA-task load index (NASA-TLX); 20 years later. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 50(9), 904–908.CrossRef

Hart, S. G., & Staveland, L. E. (1988). Development of NASA-TLX (Task Load Index): Results of empirical and theoretical research. Human Mental Workload, 1(3), 139–183.CrossRef

Healey, J. A., & Picard, R. W. (2005). Detecting stress during real-world driving tasks using physiological sensors. IEEE Transactions on Intelligent Transportation Systems, 6(2), 156–166. doi:10.1109/TITS.2005.848368.CrossRef

Howells, F., Stein, D., & Russell, V. (2010). Perceived mental effort correlates with changes in tonic arousal during attentional tasks. Behavioral and Brain Functions, 6(1), 39.CrossRef

Ille, N., Berg, P., & Scherg, M. (2002). Artifact correction of the ongoing EEG using spatial filters based on artifact and brain signal topographies. Journal of Clinical Neurophysiology, 19(2),113–124.

Jacobs, S. C., Friedman, R., Parker, J. D., Tofler, G. H., Jimenez, A. H., Muller, J. E., et al. (1994). Use of skin conductance changes during mental stress testing as an index of autonomic arousal in cardiovascular research. American Heart Journal, 128(6), 1170–1177.CrossRef

Jensen, E. (2008). Brain-based learning: The new paradigm of teaching. California: Sage publications.

Kanner, A. D., Coyne, J. C., Schaefer, C., & Lazarus, R. S. (1981). Comparison of two modes of stress measurement: Daily hassles and uplifts versus major life events. Journal of behavioral medicine, 4(1), 1–39.CrossRef

Kerle, R. H., & Bialek, H. M. (1958). The construction, validation and application of a Subjective Stress Scale. DTIC Document.

Kosmadoudi, Z., Lim, T., Ritchie, J., Louchart, S., Liu, Y., & Sung, R. (2013). Engineering design using game-enhanced CAD: The potential to augment the user experience with game elements. Computer-Aided Design, 45(3), 777–795. doi:10.1016/j.cad.2012.08.001.CrossRef

Lee, S., Yun, S., & Srivastava, A. (2013). Evidence for a curvilinear relationship between abusive supervision and creativity in South Korea. The Leadership Quarterly, 24(5), 724–731. doi:10.1016/j.leaqua.2013.07.002.CrossRef

Linden, W., Earle, T. L., Gerin, W., & Christenfeld, N. (1997). Physiological stress reactivity and recovery: Conceptual siblings separated at birth? Journal of Psychosomatic Research, 42(2), 117–135. doi:10.1016/S0022-3999(96)00240-1.CrossRef

Mandryk, R. L., Inkpen, K. M., & Calvert, T. W. (2006). Using psychophysiological techniques to measure user experience with entertainment technologies. Behaviour and Information Technology, 25(2), 141–158.CrossRef

Mavrikios, D., Papakostas, N., Mourtzis, D., & Chryssolouris, G. (2013). On industrial learning and training for the factories of the future: A conceptual, cognitive and technology framework. Journal of Intelligent Manufacturing, 24(3), 473–485. doi:10.1007/s10845-011-0590-9.CrossRef

Moroney, W. F., Biers, D. W., Eggemeier, F. T., & Mitchell, J. A. A. (1992). comparison of two scoring procedures with the NASA task load index in a simulated flight task. In Aerospace and electronics conference, 1992. NAECON 1992., proceedings of the IEEE 1992 national, vol. 732 (pp. 734–740). doi:10.1109/NAECON.1992.220513 May 18–22, 1992.

Mulert, C., Leicht, G., Pogarell, O., Mergl, R., Karch, S., Juckel, G., et al. (2007). Auditory cortex and anterior cingulate cortex sources of the early evoked gamma-band response: Relationship to task difficulty and mental effort. Neuropsychologia, 45(10), 2294–2306. doi:10.1016/j.neuropsychologia.2007.02.020.CrossRef

Mulert, C., Seifert, C., Leicht, G., Kirsch, V., Ertl, M., Karch, S., et al. (2008). Single-trial coupling of EEG and fMRI reveals the involvement of early anterior cingulate cortex activation in effortful decision making. NeuroImage, 42(1), 158–168. doi:10.1016/j.neuroimage.2008.04.236.CrossRef

Nguyen, T. A., & Zeng, Y. (2012a). Clustering designers’ mental activities based on EEG power. Paper presented at the proceedings of tools and methods of competitive engineering (TMCE) 2012, Karlsruhe, May 7–11.

Nguyen, T. A., & Zeng, Y. (2012b). A theoretical model of design creativity: Nonlinear design dynamics and mental stress-creativity relation. Journal of Integrated Design and Process Science, 16(3), 65–88.

Nguyen, P., Nguyen, T. A., & Zeng, Y. (2015a). Measuring the evoked hardness of design problems using transient microstates. Paper presented at the ASME 2015 international design engineering technical conferences and computers and information in engineering conference (IDETC/CIE 2015), Boston, August 2–5.

Nguyen, P., Nguyen, T. A., & Zeng, Y. (2015b). Physiologically based segmentation of design protocol data. Paper presented at the 20th international conference on engineering design (ICED15), Milan, July 27–30, 2015.

Nguyen, T. A., Xu, X., & Zeng, Y. (2013). Distribution of mental stresses during conceptual design activities. In Proceedings of the 19th international conference on engineering design (ICED13), design for harmonies, vol. 7: Human behaviour in design (pp. 287–296) August 19–22, 2013.

Nguyen, T. A., & Zeng, Y. (2010). Analysis of design activities using EEG signals. ASME Conference Proceedings, 2010(44137), 277–286.

Nguyen, T. A., & Zeng, Y. (2014). A physiological study of relationship between designer’s mental effort and mental stress during conceptual design. Computer-Aided Design, 54, 3–18. doi:10.1016/j.cad.2013.10.002.CrossRef

Nygren, T. E. (1991). Psychometric properties of subjective workload measurement techniques: Implications for their use in the assessment of perceived mental workload. Human Factors: The Journal of the Human Factors and Ergonomics Society, 33(1), 17–33.CrossRef

Paas, F. G. W. C., & Van Merriënboer, J. J. G. (1993). The efficiency of instructional conditions: An approach to combine mental effort and performance measures. Human Factors: The Journal of the Human Factors and Ergonomics Society, 35(4), 737–743.CrossRef

Peacock, E. J., & Wong, P. T. P. (1990). The stress appraisal measure (SAM): A multidimensional approach to cognitive appraisal. Stress Medicine, 6(3), 227–236. doi:10.1002/smi.2460060308.CrossRef

Perala, C. H., & Sterling, B. S. (2007). Galvanic skin response as a measure of soldier stress. DTIC Document.

Petkar, H., Dande, S., Yadav, R., Nguyen, T. A., & Zeng, Y. (2009). Assessment of mental stress through eye movements and electroencephalogram (EEG) during the Stroop test. Paper presented at the the 2009 ASME international design engineering technical conferences (IDETC) and computers and information in engineering conference, San Diego, August 30–September 2.

Reid, G. B., & Nygren, T. E. (1988). The subjective workload assessment technique: A scaling procedure for measuring mental workload. Advances in Psychology, 52, 185–218.CrossRef

Sasaki, K., Tsujimoto, T., Nambu, A., Matsuzaki, R., & Kyuhou, S. (1994). Dynamic activities of the frontal association cortex in calculating and thinking. Neuroscience Research, 19(2), 229–233.

Shanteau, J., & Dino, G. A. (1993). Environmental stressor effects on creativity and decision making. In O. Svenson & A. J. Maule (Eds.), Time pressure and stress in human judgment and decision making (pp. 293–308). New York: Springer.CrossRef

Sokal, R. R., & Sneath, P. H. A. (1963). Principles of numerical taxonomy. San Francisco: W. H. Freeman.

Southwick, S. M., Yehuda, R., & Charney, D. S. (2009). Neurobiological alterations in PTSD: Review of the clinical literature. In C. S. Fullerton & R. J. Ursano (Eds.), Posttraumatic stress disorder: Acute and long-term responses to trauma and disaster. (Progress in Psychiatry). Virginia: American psychiatric publishing.

Stern, R. M., Ray, W. J., & Quigley, K. S. (2001). Psychophysiological recording. Oxford: Oxford University Press.

Stuss, D. T., & Knight, R. T. (2013). Principles of frontal lobe function. OUP USA.

Szirmai, I., Amrein, I., Pálvölgyi, L., Debreczeni, R., & Kamondi, A. (2005). Correlation between blood flow velocity in the middle cerebral artery and EEG during cognitive effort. Cognitive Brain Research, 24(1), 33–40. doi:10.1016/j.cogbrainres.2004.12.011.CrossRef

Talbot, R., Cooper, C., & Barrow, S. (1992). Creativity and stress. Creativity and Innovation Management, 1(4), 183–193. doi:10.1111/j.1467-8691.1992.tb00052.x.CrossRef

Tang, Y., & Zeng, Y. (2009). Quantifying designer’s mental stress in the conceptual design process using kinesics study. Paper presented at the ICED 09.

Taylor, J. A. (1958). The effects of anxiety level and psychological stress on verbal learning. The Journal of Abnormal and Social Psychology, 57(1), 55.CrossRef

Tognetti, S., Garbarino, M., Bonarini, A., & Matteucci, M. (2010). Modeling enjoyment preference from physiological responses in a car racing game. In IEEE symposium on computational intelligence and games (CIG), 2010 (pp. 321-328). doi:10.1109/ITW.2010.5593337 August 18–21 2010.

Willis, J. (2006). Research-based strategies to ignite student learning: Insights from a neurologist and classroom teacher: Association for Supervision & Curriculum Development.

Xu, X., Nguyen, T. A., & Zeng, Y. Galvanic skin response as index of mental workload in design activities. In Proceedings of tools and methods of competitive engineering (TMCE) 2014, Budapest, May 19–23 2014.

Yanagisawa, H., & Fukuda, S. (2005). Interactive reduct evolutional computation for aesthetic design. Journal of Computing and Information Science in Engineering, 5(1), 1–7. doi:10.1115/1.1846055.CrossRef

Youmans, R. J. (2011). The effects of physical prototyping and group work on the reduction of design fixation. Design Studies, 32(2), 115–138.CrossRef

Zeng, Y. (2008a). Is it possible to follow a structured design methodology and to conduct unstructured creative design. Paper presented at the tools and methods of competitive engineering (TMCE), Izmir, April 21–25.

Zeng, Y. (2008). Recursive object model (ROM): Modelling of linguistic information in engineering design. Computers in Industry, 59(6), 612–625. doi:10.1016/j.compind.2008.03.002.

Zeng, Y., & Horváth, I. (2012). Fundamentals of next generation CAD/E systems. Computer-Aided Design, 44(10), 875–878. doi:10.1016/j.cad.2012.05.005.

Zhou, F., & Jiao, R. J. (2013). Eliciting, measuring and predicting affect via physiological measures for emotional design. In S. Fukuda (Ed.), Emotional engineering (Vol. 2, pp. 41–62). London: Springer.

Zhou, F., Ji, Y., & Jiao, R. (2013). Affective and cognitive design for mass personalization: Status and prospect. Journal of Intelligent Manufacturing, 24(5), 1047–1069. doi:10.1007/s10845-012-0673-2.

Zhu, S., Yao, S., & Zeng, Y. (2007). A novel approach to quantifying designer’s mental stress in the conceptual design process. Paper presented at the ASME 2007 international design engineering technical conferences and computers and information in engineering conference, Las Vegas, September 4–7.

Titel: Effects of stress and effort on self-rated reports in experimental study of design activities
Publikationsdatum: 23.01.2016
Erschienen in: Journal of Intelligent Manufacturing / Ausgabe 7/2017
Print ISSN: 0956-5515
Elektronische ISSN: 1572-8145
DOI: https://doi.org/10.1007/s10845-016-1196-z

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