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Understanding Conceptual Design Activities: Extended Axiomatic Theory of Design Modeling and Physiological Experimentation


Understanding Conceptual Design Activities: Extended Axiomatic Theory of Design Modeling and Physiological Experimentation

Nguyen, Thanh An (2016) Understanding Conceptual Design Activities: Extended Axiomatic Theory of Design Modeling and Physiological Experimentation. PhD thesis, Concordia University.

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Conceptual design is an early and critical phase of a design process. Decisions made in this stage can affect seventy five percent of the manufacturing costs. Therefore, one of the important factors to successful production is to have methods and tools that enable designers to work more effectively during the phase of conceptual design. To build such methods and tools, knowledge of design activities such as nature of the design process and factors affecting design activities is indispensable. The present thesis is a continuing effort to build a science of design which aims to discover knowledge of design activities through formal scientific process. The contribution of the current thesis includes the extended Axiomatic Theory of Design Modelling and methodologies to study design cognition physiologically. In particular, two postulates were added to the Axiomatic Theory of Design Modelling to support its explanatory power which was demonstrated through the interpretation of the impact of sketching on design performance and the occurrence of design fixation. An integrated experimental environment was developed to collect and analyze physiological signals during design processes. From this environment, several experiments recording physiological signals were conducted and findings of electroencephalography, heart rate variability, and skin conductance were reported.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Electrical and Computer Engineering
Item Type:Thesis (PhD)
Authors:Nguyen, Thanh An
Institution:Concordia University
Degree Name:Ph. D.
Program:Electrical and Computer Engineering
Date:19 August 2016
Thesis Supervisor(s):Zeng, Yong
Keywords:design theory, Axiomatic Theory of Design Modeling, mental stress, mental effort, workload, design cognition, EEG, physiological signals
ID Code:981698
Deposited By: THANH NGUYEN
Deposited On:09 Nov 2016 15:24
Last Modified:18 Jan 2018 17:53


Agogue, M.& Cassotti, M. (2013). Understanding Fixation Effects in Creativity: A Design-Theory Approach. Proceedings of the 19th International Conference on Engineering Design (ICED13), Design for Harmonies, 19-22 August, Seoul, Korea. 103-112
Akin, M.& Kiymik, M. K. (2000). Application of Periodogram and AR Spectral Analysis to Eeg Signals. Journal of Medical Systems, 24(4), 247-256.
Akin, O. (1979). An Exploration of the Design Process. Design Methods and Theories, 13(3/4), 115-119.
Alexander, J. J. A. M., Johannes, H. S., & Frans, P. M. B. (2010). Chapter 10 Using Knowledge-as-Inquiry to Mobilize Change: A Retrospective Analysis of "Moments of Change" in a Relational Practice. In C. Steyaert & B. V. Looy (Eds.), Relational Practices, Participative Organizing (Vol. 7, pp. 177-198): Emerald Group Publishing Limited.
Alexiou, K., Zamenopoulos, T., Johnson, J. H., & Gilbert, S. J. (2009). Exploring the Neurological Basis of Design Cognition Using Brain Imaging: Some Preliminary Results. Design Studies, 30(6), 623-647.
Allen, C. (1989). The Use of Video in Organizational Studies. ACM SIGCHI Bulletin, 21(2), 115-117.
Austin, J.& Delaney, P. F. (1998). Protocol Analysis as a Tool for Behavior Analysis. The Analysis of verbal behavior, 15, 41.
Balters, S.& Steinert, M. (2015). Capturing Emotion Reactivity through Physiology Measurement as a Foundation for Affective Engineering in Engineering Design Science and Engineering Practices. Journal of Intelligent Manufacturing, 1-23. doi: 10.1007/s10845-015-1145-2
Bilda, Z.& Gero, J. (2006). Reasoning with Internal and External Representations: A Case Study with Expert Architects. Proceedings of the Annual Meeting of Cognitive Science Society, 1020-1026
Birkhofer, H. (2011). The Future of Design Methodology: Springer London.
Bonnardel, N. (2000). Towards Understanding and Supporting Creativity in Design: Analogies in a Constrained Cognitive Environment. Knowledge-Based Systems, 13(7-8), 505-513.
Brose, A., Schmiedek, F., Lövdén, M., & Lindenberger, U. (2012). Daily Variability in Working Memory Is Coupled with Negative Affect: The Role of Attention and Motivation. Emotion, 12(3), 605.
Brunet, D., Murray, M. M., & Michel, C. M. (2011). Spatiotemporal Analysis of Multichannel Eeg: Cartool. Computational Intelligence and Neuroscience, 2011, 15. doi: 10.1155/2011/813870
Burg, J. P. (1968). A New Analysis Technique for Time Series Data. NATO Advanced Study Institute on Signal Processing, Enschede, Netherlands, 32.
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.
Carpenter, S. M., Peters, E., Västfjäll, D., & Isen, A. M. (2013). Positive Feelings Facilitate Working Memory and Complex Decision Making among Older Adults. Cognition & emotion, 27(1), 184-192.
Chakrabarti, A. (2006). Defining and Supporting Design Creativity. Proceedings of the 9th International Design Conference DESIGN 2006, 479-486
Chandrasekera, T., Vo, N., & D'Souza, N. (2013). The Effect of Subliminal Suggestions on Sudden Moments of Inspiration (Smi) in the Design Process. Design Studies, 34(2), 193-215. doi: http://dx.doi.org/10.1016/j.destud.2012.09.002
Chang, Y.-C.& Huang, S.-L. (2012). The Influence of Attention Levels on Psychophysiological Responses. International Journal of Psychophysiology, 86(1), 39-47. doi: http://dx.doi.org/10.1016/j.ijpsycho.2012.09.001
Cheetham, A. H.& Hazel, J. E. (1969). Binary (Presence-Absence) Similarity Coefficients. Journal of Paleontology, 43(5), 1130-1136.
Chen, Z. Y.& Zeng, Y. (2006). Classification of Product Requirements Based on Product Environment. Concurrent Engineering, 14(3), 219-230.
Chi, M. T. H. (1997). Quantifying Qualitative Analyses of Verbal Data: A Practical Guide. Journal of the Learning Sciences, 6(3), 271-315. doi: http://dx.doi.org/10.1207/s15327809jls0603_1
Cohen, S., Kamarck, T., & Mermelstein, R. (1983). A Global Measure of Perceived Stress. Journal of health and social behavior, 24(4), 385-396.
Collopy, P. (2013). Opportunities in Engineering Design Research. Journal of Mechanical Design, 135(2), 020301-020301. doi: http://dx.doi.org/10.1115/1.4023278
Collura, T. F. (1993). History and Evolution of Electroencephalographic Instruments and Techniques. Journal of clinical neurophysiology, 10(4), 476-504.
Company, P., Contero, M., Varley, P., Aleixos, N., & Naya, F. (2009). Computer-Aided Sketching as a Tool to Promote Innovation in the New Product Development Process. Computers in Industry, 60(8), 592-603.
Cox, T. (1978). Stress: University Park Press.
Cross, N. (2006). Designerly Ways of Knowing: Springer.
Cross, N. (2007). Forty Years of Design Research. Design Studies, 28(1), 1-4. doi: http://dx.doi.org/10.1016/j.destud.2006.11.004
Cross, N., Christiaans, H., & Dorst, K. (1997). Introduction: The Delft Protocol Workshop. In N. Cross, H. Christiaans & K. Dorst (Eds.), Analysing Design Activity (1 ed., pp. 1-15): Wiley.
Dahl, D. W.& Moreau, P. (2002). The Influence and Value of Analogical Thinking During New Product Ideation. Journal of Marketing Research, 39(1), 47-60. doi: http://dx.doi.org/10.1509/jmkr.
de Hoon, M. J. L., van der Hagen, T. H. J. J., Schoonewelle, H., & van Dam, H. (1996). Why Yule-Walker Should Not Be Used for Autoregressive Modelling. Annals of Nuclear Energy, 23(15), 1219-1228. doi: http://dx.doi.org/10.1016/0306-4549(95)00126-3
DeLongis, A., Folkman, S., & Lazarus, R. S. (1988). The Impact of Daily Stress on Health and Mood: Psychological and Social Resources as Mediators. Journal of personality and social psychology, 54(3), 486.
Delorme, A.& Makeig, S. (2004). Eeglab: An Open Source Toolbox for Analysis of Single-Trial Eeg Dynamics Including Independent Component Analysis. Journal of Neuroscience Methods, 134(1), 9-21. doi: http://dx.doi.org/10.1016/j.jneumeth.2003.10.009
Dietrich, A.& Kanso, R. (2010). A Review of Eeg, ERP, and Neuroimaging Studies of Creativity and Insight. Psychological bulletin, 136(5), 822.
Djuric, P. M., Kay, S. M., Vijay, K. M., & Douglas, B. W. (1999). Spectrum Estimation and Modeling. Digital signal processing handbook, 22.
Drury, C. (2008). Cost Management. In C. Drury (Ed.), Management and Cost Accounting (pp. 537-568): South-Western/Cengage Learning.
Eastman, C. M. (1968). On the Analysis of Intuitive Design Processes: Carnegie-Mellon University.
Ellen Yi-luen, D.& Mark, D. G. (1996). Drawing as a Means to Design Reasoning. Proceedings of Artificial Intelligence in Design (AID) '96 Workshop on Visual representation, reasoning and interaction in design, Palo Alto, CA.
Ericsson, K. A.& Simon, H. A. (1993). Protocol Analysis: Verbal Reports as Data: MIT Press.
Fairclough, S. H.& Mulder, L. J. M. (2012). Psychophysiological Processes of Mental Effort Investment. In R. A. W. G. H. E. Gendolla (Ed.), How Motivation Affects Cardiovascular Response: Mechanisms and Applications (pp. 61-76). Washington, DC, US: American Psychological Association.
Ferguson, E. S. (1977). The Mind's Eye: Nonverbal Thought in Technology.
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: http://dx.doi.org/10.1016/j.cogbrainres.2005.02.002
Gero, J. S. (1990). Design Prototypes: A Knowledge Representation Schema for Design. AI magazine, 11(4), 26.
Gero, J. S., Kan, J. W. T., & Pourmohamadi, M. (2011). Analysing Design Protocols: Development of Methods and Tools. Research into Design, Research Publishing, 3-10.
Gero, J. S.& Kannengiesser, U. (2002). The Situated Function — Behaviour — Structure Framework. In J. Gero (Ed.), Artificial Intelligence in Design ’02 (pp. 89-104): Springer Netherlands.
Gero, J. S.& Kannengiesser, U. (2004). The Situated Function–Behaviour–Structure Framework. Design studies, 25(4), 373-391.
Gilbert, S., Zamenopoulos, T., Alexiou, K., & Johnson, J. (2010). Involvement of Right Dorsolateral Prefrontal Cortex in Ill-Structured Design Cognition: An Fmri Study. Brain research, 1312(C), 79-88.
Goel, V. (1995). Sketches of Thought: MIT Press.
Goel, V.& Grafman, J. (2000). Role of the Right Prefrontal Cortex in Ill-Structured Planning. Cognitive Neuropsychology, 17(5), 415-436.
Goel, V., Grafman, J., Tajik, J., Gana, S., & Danto, D. (1997). A Study of the Performance of Patients with Frontal Lobe Lesions in a Financial Planning Task. Brain, 120(10), 1805-1822.
Göker, M. H. (1997). The Effects of Experience During Design Problem Solving. Design Studies, 18(4), 405-426.
Goldschmidt, G. (1991). The Dialectics of Sketching. Creativity Research Journal, 4(2), 123-143.
Goldschmidt, G. (1994). On Visual Design Thinking: The Vis Kids of Architecture. Design Studies, 15(2), 158-174. doi: http://dx.doi.org/10.1016/0142-694X(94)90022-1
Goldschmidt, G. (2011). Avoiding Design Fixation: Transformation and Abstraction in Mapping from Source to Target. J Creative Behav, 45(2), 92-100.
Goljahani, A., Bisiacchi, P., & Sparacino, G. (2014). An EEGLab Plugin to Analyze Individual EEG Alpha Rhythms Using the “Channel Reactivity-Based Method”. Computer Methods and Programs in Biomedicine, 113(3), 853-861. doi: http://dx.doi.org/10.1016/j.cmpb.2013.12.010
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: http://dx.doi.org/10.1016/j.neuroimage.2011.12.001
Grass technologies. Retrieved April 1, 2016, from http://www.grasstechnologies.com/
Hales, C.& Gooch, S. (2004). Managing Engineering Design: Springer London.
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.
Hart, S. G.& Staveland, L. E. (1988). Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research. In A. H. Peter & M. Najmedin (Eds.), Advances in Psychology (Vol. Volume 52, pp. 139-183): North-Holland.
Hatchuel, A.& Weil, B. (2003). A New Approach of Innovative Design: An Introduction to CK Theory. Proceedings, International Conference on Engineering Design,
Hayton, J. C.& Cholakova, M. (2012). The Role of Affect in the Creation and Intentional Pursuit of Entrepreneurial Ideas. Entrepreneurship Theory and Practice, 36(1), 41-68.
Healey, J. A.& Picard, R. W. (2005). Detecting Stress During Real-World Driving Tasks Using Physiological Sensors. Intelligent Transportation Systems, IEEE Transactions on, 6(2), 156-166. doi: http://dx.doi.org/10.1109/TITS.2005.848368
Heemstra, M. L. (1986). An Efficiency Model of Information Processing Energetics and Human Information Processing (pp. 233-242): Springer.
Hertz, K. (1992). A Coherent Description of the Process of Design. Design Studies, 13(4), 393-410.
Hirt, E. R., Melton, R. J., McDonald, H. E., & Harackiewicz, J. M. (1996). Processing Goals, Task Interest, and the Mood–Performance Relationship: A Mediational Analysis. Journal of personality and social psychology, 71(2), 245.
Howard, T. J., Maier, A. M., Onarheim, B., & Friis-Olivarius, M. (2013). Overcoming Design Fixation through Education and Creativity Methods. Proceedings of the 19th International Conference on Engineering Design (ICED13), Design for Harmonies, 139-148
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.
Isen, A. M.& Means, B. (1983). The Influence of Positive Affect on Decision-Making Strategy. Social cognition, 2(1), 18-31.
Jacobs, S. C., Friedman, R., Parker, J. D., Tofler, G. H., Jimenez, A. H., Muller, J. E., Benson, H., & Stone, P. H. (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.
Jacobson, S.& Marcus, E. M. (2008). Hypothalamus, Neuroendocrine System, and Autonomic Nervous System. In S. Jacobson & E. M. Marcus (Eds.), Neuroanatomy for the Neuroscientist (pp. 165-187): Springer US.
Jansen, B. H., Bourne, J. R., & Ward, J. W. (1981). Autoregressive Estimation of Short Segment Spectra for Computerized Eeg Analysis. IEEE Transactions on Biomedical Engineering, BME-28(9), 630-638. doi: http://dx.doi.org/10.1109/TBME.1981.324753
Jansson, D. G., Condoor, S. S., & Brock, H. R. (1993). Cognition in Design: Viewing the Hidden Side of the Design Process. Environment and Planning B: Planning and Design, 20(3), 257-271.
Jansson, D. G.& Smith, S. M. (1991). Design Fixation. Design Studies, 12(1), 3-11.
Jiang, H.& Yen, C. (2009). Protocol Analysis in Design Research: A Review. Journal Paper, 78(24), 16.
Kahneman, D. (2011). Thinking, Fast and Slow: Macmillan.
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.
Kerle, R. H.& Bialek, H. M. (1958) The Construction, Validation and Application of a Subjective Stress Scale. DTIC Document.
Klimesch, W. (1999). EEG Alpha and Theta Oscillations Reflect Cognitive and Memory Performance: A Review and Analysis. Brain Research Reviews, 29(2-3), 169-195.
Koenig, T., Lehmann, D., Merlo, M. C. G., Kochi, K., Hell, D., & Koukkou, M. (1999). A Deviant EEG Brain Microstate in Acute, Neuroleptic-Naive Schizophrenics at Rest. European archives of psychiatry and clinical neuroscience, 249(4), 205-211.
Lehmann, D., Ozaki, H., & Pal, I. (1987). EEG Alpha Map Series: Brain Micro-States by Space-Oriented Adaptive Segmentation. Electroencephalography and clinical neurophysiology, 67(3), 271-288.
Lehmann, D., Strik, W. K., Henggeler, B., Koenig, T., & Koukkou, M. (1998). Brain Electric Microstates and Momentary Conscious Mind States as Building Blocks of Spontaneous Thinking: I. Visual Imagery and Abstract Thoughts. International Journal of Psychophysiology, 29(1), 1-11. doi: http://dx.doi.org/10.1016/S0167-8760(97)00098-6
Levine, S. (2000). Influence of Psychological Variables on the Activity of the Hypothalamic–Pituitary–Adrenal Axis. European Journal of Pharmacology, 405(1–3), 149-160. doi: http://dx.doi.org/10.1016/S0014-2999(00)00548-3
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: http://dx.doi.org/10.1016/S0022-3999(96)00240-1
Linsey, J. S., Tseng, I., Fu, K., Cagan, J., Wood, K. L., & Schunn, C. (2010). A Study of Design Fixation, Its Mitigation and Perception in Engineering Design Faculty. Journal of Mechanical Design, 132(4), 041003-041003. doi: http://dx.doi.org/10.1115/1.4001110
Logitech. Retrieved April 1, 2016, from https://www.amazon.ca/Logitech-QuickCam-Pro-5000-WebCam/dp/B000BDH2XY
London, H., Schubert, D. S., & Washburn, D. (1972). Increase of Autonomic Arousal by Boredom. Journal of Abnormal Psychology, 80(1), 29-36.
Luo, J.& Knoblich, G. (2007). Studying Insight Problem Solving with Neuroscientific Methods. Methods, 42(1), 77-86.
Lyubomirsky, S., King, L., & Diener, E. (2005). The Benefits of Frequent Positive Affect: Does Happiness Lead to Success? Psychological bulletin, 131(6), 803.
Mandryk, R. L., Inkpen, K. M., & Calvert, T. W. (2006). Using Psychophysiological Techniques to Measure User Experience with Entertainment Technologies. Behaviour & Information Technology, 25(2), 141-158.
Marsh, R., Landau, J., & Hicks, J. (1996). How Examples May (and May Not) Constrain Creativity. Memory & Cognition, 24(5), 669-680. doi: http://dx.doi.org/10.3758/BF03201091
Matthiesen, S., Meboldt, M., Ruckpaul, A., & Mussgnug, M. (2013). Eye Tracking, a Method for Engineering Design Research on Engineers' Behavior While Analyzing Technical Systems. Proceedings of 19th International Conference on Engineering Design (ICED'13), Seoul, Korea.
Mayer, R. M. (2012). Design with Reinforced Plastics: A Guide for Engineers and Designers: Springer Netherlands.
McCaffrey, T. (2012). Innovation Relies on the Obscure a Key to Overcoming the Classic Problem of Functional Fixedness. Psychological science, 23(3), 215-218. doi: http://dx.doi.org/10.1177/0956797611429580
McGaugh, J. L. (2000). Memory--a Century of Consolidation. Science, 287(5451), 248-251.
McKim, R. H. (1980). Thinking Visually: A Strategy Manual for Problem Solving: Lifetime Learning Publications.
McLellan, R.& Nicholl, B. (2011). "If I Was Going to Design a Chair, the Last Thing I Would Look at Is a Chair": Product Analysis and the Causes of Fixation in Students' Design Work 11-16 Years. [Article]. International Journal of Technology and Design Education, 21(1), 71-92. doi: http://dx.doi.org/10.1007/s10798-009-9107-7
McMahon, C. (2011). The Future of Design Research: Consolidation, Collaboration and Inter-Disciplinary Learning? In H. Birkhofer (Ed.), The Future of Design Methodology (pp. 275-284): Springer London.
Mizuki, Y., Kajimura, N., Kai, S., Suetsugi, M., Ushijima, I., & Yamada, M. (1992). Differential Responses to Mental Stress in High and Low Anxious Normal Humans Assessed by Frontal Midline Theta Activity. International Journal of Psychophysiology, 12(2), 169-178. doi: http://dx.doi.org/10.1016/0167-8760(92)90008-Y
Mizuki, Y., Kajimura, N., Nishikori, S., Imaizumi, J., & Yamada, M. (1984). Appearance of Frontal Midline Theta Rhythm and Personality Traits. Psychiatry and Clinical Neurosciences, 38(4), 451-458. doi: http://dx.doi.org/10.1111/j.1440-1819.1984.tb00794.x
Moroney, W. F., Biers, D. W., Eggemeier, F. T., & Mitchell, J. A. (1992). A Comparison of Two Scoring Procedures with the Nasa Task Load Index in a Simulated Flight Task. Aerospace and Electronics Conference, 1992. NAECON 1992., Proceedings of the IEEE 1992 National, 734-740 vol.732. doi:http://dx.doi.org/10.1109/NAECON.1992.220513
Morton, R. B. (1999). Methods and Models: A Guide to the Empirical Analysis of Formal Models in Political Science: Cambridge University Press.
Mulert, C., Leicht, G., Pogarell, O., Mergl, R., Karch, S., Juckel, G., Möller, H.-J., & Hegerl, U. (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: http://dx.doi.org/10.1016/j.neuropsychologia.2007.02.020
Mulert, C., Seifert, C., Leicht, G., Kirsch, V., Ertl, M., Karch, S., Moosmann, M., Lutz, J., Möller, H.-J., Hegerl, U., Pogarell, O., & Jäger, L. (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: http://dx.doi.org/10.1016/j.neuroimage.2008.04.236
Müller, G. E.& Pilzecker, A. (1900). Experimentelle Beiträge Zur Lehre Vom Gedächtniss (Vol. 1): JA Barth.
Murray, M. M., Brunet, D., & Michel, C. M. (2008). Topographic ERP Analyses: A Step-by-Step Tutorial Review. Brain Topography, 20(4), 249-264. doi: http://dx.doi.org/10.1007/s10548-008-0054-5
Nguyen, P., Nguyen, T. A., & Zeng, Y. (2015a). Measuring the Evoked Hardness of Design Problems Using Transient Microstates. ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, V007T006A029-V007T006A029
Nguyen, P., Nguyen, T. A., & Zeng, Y. (2015b). Physiologically Based Segmentation of Design Protocol. DS 80-11 Proceedings of the 20th International Conference on Engineering Design (ICED 15) Vol 11: Human Behaviour in Design, Design Education
Nguyen, T. A., Xu, X., & Zeng, Y. (2013). Distribution of Mental Stresses During Conceptual Design Activities. Proceedings of 19th International Conference on Engineering Design (ICED'13), Seoul, Korea.
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. (2012). A Theoretical Model of Design Creativity: Nonlinear Design Dynamics and Mental Stress-Creativity Relation. Journal of Integrated Design and Process Science, 16(3), 37-60.
Nguyen, T. A.& Zeng, Y. (2014a). A Physiological Study of Relationship between Designer’s Mental Effort and Mental Stress During Conceptual Design. Computer-Aided Design, 54(0), 3-18. doi: http://dx.doi.org/10.1016/j.cad.2013.10.002
Nguyen, T. A.& Zeng, Y. (2014b). A Preliminary Study of Eeg Spectrogram of a Single Subject Performing a Creativity Test. Innovative Design and Manufacturing (ICIDM), Proceedings of the 2014 International Conference on, 16-21. doi:10.1109/IDAM.2014.6912664
Nguyen, T. A.& Zeng, Y. (2016). Effects of Stress and Effort on Self-Rated Reports in Experimental Study of Design Activities. Journal of Intelligent Manufacturing, 1-14. doi: http://dx.doi.org/10.1007/s10845-016-1196-z
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.
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.
Perala, C. H.& Sterling, B. S. (2007) Galvanic Skin Response as a Measure of Soldier Stress. DTIC Document.
Perkins, D. N. (1988). Creativity and the Quest for Mechanism. In R. J. Sternberg & E. E. Smith (Eds.), The Psychology of Human Thought (pp. 11-336): Cambridge University Press.
Perry, G. T.& Krippendorff, K. (2013). On the Reliability of Identifying Design Moves in Protocol Analysis. Design Studies, 34(5), 612-635. doi: http://dx.doi.org/10.1016/j.destud.2013.02.001
Perttula, M. K.& Liikkanen, L. A. (2006a). Exposure Effects in Design Idea Generation: Unconscious Conformity or a Product of Sampling Probability? Development Process: From Idea to the World's First Bionic Prosthetic Foot.
Perttula, M. K.& Liikkanen, L. A. (2006b). Structural Tendencies and Exposure Effects in Design Idea Generation. ASME 2006 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, 199-210
Petkar, H. (2011). Effects of Working Memory Demand on Performance and Mental Stress During the Stroop Task. Masters, Concordia University. Retrieved from http://spectrum.library.concordia.ca/35970/
Poisel, R. (2004). Target Acquisition in Communication Electronic Warfare Systems: Artech House.
Polar. (n.d.) Retrieved April, 2016, from www.polar.com
Pourmohamadi, M.& Gero, J. S. (2011). Linkographer: An Analysis Tool to Study Design Protocols Based on Fbs Coding Scheme. 18th International Conference on Engineering Design (ICED'11),
Purcell, A. T., Williams, P., Gero, J. S., & Colbron, B. (1993). Fixation Effects: Do They Exist in Design Problem Solving? Environment and Planning B: Planning and Design, 20(3), 333-345.
Q-See. (n.d.) Retrieved April, 2016, from http://www.affordablehomeelectronics.com/
Raaijmakers, J. G. W.& Shiffrin, R. M. (1980). Sam: A Theory of Probabilistic Search of Associative Memory. In G. H. Bower (Ed.), The Psychology of Learning and Motivation: Advances in Research and Theory (Vol. 14, pp. 207-262). New York: Academic Press.
Rainer, R. K.& Cegielski, C. G. (2010). Introduction to Information Systems: Enabling and Transforming Business: John Wiley & Sons.
Ramshur, J. T. (2010). Hrvas: Heart Rate Variability Analysis Software.
Ranganathan, G., Rangarajan, R., & Bindhu, V. (2012). Estimation of Heart Rate Signals for Mental Stress Assessment Using Neuro Fuzzy Technique. Applied Soft Computing, 12(8), 1978-1984. doi: http://dx.doi.org/10.1016/j.asoc.2012.03.019
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.
Robertson, B. F.& Radcliffe, D. F. (2009). Impact of CAD Tools on Creative Problem Solving in Engineering Design. Computer-Aided Design, 41(3), 136-146.
Römer, A., Leinert, S., & Sachse, P. (2000). External Support of Problem Analysis in Design Problem Solving. Research in Engineering Design, 12(3), 144-151.
Rowe, G., Hirsh, J. B., & Anderson, A. K. (2007). Positive Affect Increases the Breadth of Attentional Selection. Proceedings of the National Academy of Sciences, 104(1), 383-388.
Rowley, J. (2007). The Wisdom Hierarchy: Representations of the Dikw Hierarchy. Journal of Information Science, 33(2), 163-180.
Saidatul, A., Paulraj, M. P., Yaacob, S., & Yusnita, M. A. (2011). Analysis of EEG Signals During Relaxation and Mental Stress Condition Using Ar Modeling Techniques. Control System, Computing and Engineering (ICCSCE), 2011 IEEE International Conference on, 477-481. doi:http://dx.doi.org/10.1109/ICCSCE.2011.6190573
Salamatov, Y. (1996). Система Законов Развития Техники (Основы Теории Развития Технических Систем) (2 ed.). Krasnoyarsk: Institute of innovative design.
Salovey, P.& Sluyter, D. J. (1997). Emotional Development and Emotional Intelligence: Educational Implications: Basic Books.
Sarkar, P.& Amaresh, C. (2007). A Tool for Supporting Protocol Analysis. Proceedings of International Conference on Engineering design, ICED'07, Paris, France.
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.
Schenk, P. (1991). The Role of Drawing in the Graphic Design Process. Design Studies, 12(3), 168-181.
Schön, D. A. (1983). The Reflective Practitioner: How Professionals Think in Action: Basic Books.
Schön, D. A.& Wiggins, G. (1992). Kinds of Seeing and Their Functions in Designing. Design Studies, 13(2), 135-156.
Seaward, B. L. (2011). Physiology of Stress. In B. L. Seaward (Ed.), Managing Stress: Principles and Strategies for Health and Well-Being (pp. 46-61): Jones & Bartlett Learning.
Selye, H. (1974). Stress without Distress (1st ed.). Philadelphia: Lippincott.
Shneider, A. M. (2009). Four Stages of a Scientific Discipline; Four Types of Scientist. Trends in Biochemical Sciences, 34(5), 217-223. doi: http://dx.doi.org/10.1016/j.tibs.2009.02.002
Sio, U. N., Kotovsky, K., & Cagan, J. (2015). Fixation or Inspiration? A Meta-Analytic Review of the Role of Examples on Design Processes. Design Studies, 39, 70-99. doi: http://dx.doi.org/10.1016/j.destud.2015.04.004
Smith, S. M. (1995a). Fixation, Incubation, and Insight in Memory and Creative Thinking. In S. M. Smith, T. B. Ward & R. A. Finke (Eds.), The Creative Cognition Approach (pp. 135-156): MIT Press.
Smith, S. M. (1995b). Getting into and out of Mental Ruts: A Theory of Fixation, Incubation, and Insight. In R. J. S. J. E. Davidson (Ed.), The Nature of Insight (pp. 229-251). Cambridge, MA, US: The MIT Press.
Smith, S. M.& Linsey, J. (2011). A Three-Pronged Approach for Overcoming Design Fixation. The Journal of Creative Behavior, 45(2), 83-91. doi: http://dx.doi.org/10.1002/j.2162-6057.2011.tb01087.x
Smith, S. M., Ward, T. B., & Schumacher, J. S. (1993). Constraining Effects of Examples in a Creative Generation Task. Memory & Cognition, 21(6), 837-845. doi: http://dx.doi.org/10.3758/BF03202751
Sokal, R. R.& Sneath, P. H. A. (1963). Principles of Numerical Taxonomy. Principles of numerical taxonomy.
Soufi, B.& Edmonds, E. (1996). The Cognitive Basis of Emergence: Implications for Design Support. Design Studies, 17(4), 451-463.
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: American Psychiatric Publishing.
Steinert, M.& Jablokow, K. (2013). Triangulating Front End Engineering Design Activities with Physiology Data and Psychological Preferences. Proceedings of 19th International Conference on Engineering Design (ICED'13), Seoul, Korea.
Stern, R. M., Ray, W. J., & Quigley, K. S. (2001). Psychophysiological Recording: Oxford University Press.
Stoica, P.& Selen, Y. (2004). Model-Order Selection: A Review of Information Criterion Rules. Signal Processing Magazine, IEEE, 21(4), 36-47.
Storm, B. C.& Angello, G. (2010). Overcoming Fixation: Creative Problem Solving and Retrieval-Induced Forgetting. Psychological Science, 21(9), 1263-1265.
Storm, B. C., Angello, G., & Bjork, E. L. (2011). Thinking Can Cause Forgetting: Memory Dynamics in Creative Problem Solving. Journal of Experimental Psychology: Learning, Memory, and Cognition, 37(5), 1287-1293. doi: 10.1037/a0023921
Stuss, D. T.& Knight, R. T. (2013). Principles of Frontal Lobe Function: OUP USA.
Suwa, M., Purcell, T., & Gero, J. (1998). Macroscopic Analysis of Design Processes Based on a Scheme for Coding Designers' Cognitive Actions. Design Studies, 19(4), 455-483.
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: http://dx.doi.org/10.1016/j.cogbrainres.2004.12.011
Thompson, M., Thompson, J., & Wenqing, W. (n.d.). Brodmann Areas (BA) Correlated with 10-20 Sites and Their Primary Functions. Retrieved from http://www.addcentre.com/Pages/professionaltraining.html
Tognetti, S., Garbarino, M., Bonarini, A., & Matteucci, M. (2010). Modeling Enjoyment Preference from Physiological Responses in a Car Racing Game. Computational Intelligence and Games (CIG), 2010 IEEE Symposium on, 321-328. doi:http://dx.doi.org/10.1109/ITW.2010.5593337
Torrance, E. P. (1965). Scientific Views of Creativity and Factors Affecting Its Growth. Daedalus, 94(3), 663-681.
Torrance, E. P. (1966). Torrance Tests of Creative Thinking: Norms-Technical Manual. Princeton, NY: Personnel Press.
Tovey, M. (1989). Drawing and CAD in Industrial Design. Design Studies, 10(1), 24-39.
Tseng, S.-Y., Chen, R.-C., Chong, F.-C., & Kuo, T.-S. (1995). Evaluation of Parametric Methods in EEG Signal Analysis. Medical Engineering & Physics, 17(1), 71-78. doi: http://dx.doi.org/10.1016/1350-4533(95)90380-T
Tseng, S. W. W.& Ball, J. L. (2011). How Uncertainty Helps Sketch Interpretation in a Design Task. In T. Taura & Y. Nagai (Eds.), Design Creativity 2010 (pp. 257-264). London: Springer London.
Tulving, E. (1974). Cue-Dependent Forgetting: When We Forget Something We Once Knew, It Does Not Necessarily Mean That the Memory Trace Has Been Lost; It May Only Be Inaccessible. American Scientist, 62(1), 74-82.
Ullman, D. G. (2010). Why Study the Design Process? In D. G. Ullman (Ed.), The Mechanical Design Process: McGraw-Hill Higher Education.
Ullman, D. G., Wood, S., & Craig, D. (1990). The Importance of Drawing in the Mechanical Design Process. Computers & Graphics, 14(2), 263-274.
Viswanathan, V.& Linsey, J. (2011). Design Fixation in Physical Modeling: An Investigation on the Role of Sunk Cost. ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, 119-130
Wang, M.& Zeng, Y. (2009). Asking the Right Questions to Elicit Product Requirements. International Journal of Computer Integrated Manufacturing, 22(4), 283-298.
Ward, T. B. (1994). Structured Imagination: The Role of Category Structure in Exemplar Generation. Cognitive Psychology, 27(1), 1-40. doi: http://dx.doi.org/10.1006/cogp.1994.1010
Yan, B.& Zeng, Y. (2009). The Structure of Design Conflicts. Proceedings of The 12th World Conference on Integrated Design & Process Technology, November 1-5, Alabama.
Yan, M.& Cheng, G. (1992). Image-Based Design Model. Design Studies, 13(1), 87-97. doi: http://dx.doi.org/10.1016/0142-694X(92)80007-L
Yang, M. C. (2009). Observations on Concept Quantity and Sketching in Design. Research in Engineering Design, 20(1), 1-11.
Yerkes, R. M.& Dodson, J. D. (1908). The Relation of Strength of Stimulus to Rapidity of Habit-Formation. Journal of Comparative Neurology and Psychology, 18(5), 459-482. doi: http://dx.doi.org/10.1002/cne.920180503
Yoshikawa, H. (1981). General Design Theory and a CAD System. Man-Machine Communications in CAD/CAM.
Yoshimura, M., Koenig, T., Irisawa, S., Isotani, T., Yamada, K., Kikuchi, M., Okugawa, G., Yagyu, T., Kinoshita, T., Strik, W., & Dierks, T. (2007). A Pharmaco-EEG Study on Antipsychotic Drugs in Healthy Volunteers. Psychopharmacology, 191(4), 995-1004. doi: http://dx.doi.org/10.1007/s00213-007-0737-8
Youmans, R. J. (2011a). Design Fixation in the Wild: Design Environments and Their Influence on Fixation. The Journal of Creative Behavior, 45(2), 101-107.
Youmans, R. J. (2011b). The Effects of Physical Prototyping and Group Work on the Reduction of Design Fixation. Design Studies, 32(2), 115-138.
Youmans, R. J.& Arciszewski, T. (2014). Design Fixation: Classifications and Modern Methods of Prevention. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 28(02), 129-137.
Zahner, D., Nickerson, J. V., Tversky, B., Corter, J. E., & Ma, J. (2010). A Fix for Fixation? Rerepresenting and Abstracting as Creative Processes in the Design of Information Systems. [Article]. Ai Edam-Artificial Intelligence for Engineering Design Analysis and Manufacturing, 24(2), 231-244. doi: http://dx.doi.org/10.1017/s0890060410000077
Zeng, Y. (1989). Cognitive Foundation of Artificial Intelligence and Intelligent Finite Element Modelling. Master's Thesis, Dalian University of Technology, Dalian.
Zeng, Y. (2001). Axiomatic Approach to the Modeling of Product Conceptual Design Processes Using Set Theory. University of Calgary, Calgary, Alberta.
Zeng, Y. (2002). Axiomatic Theory of Design Modeling. Journal of Integrated Design and Process Science, 6(3), 1-28.
Zeng, Y. (2004a). Environment-Based Formulation of Design Problem. J. Integr. Des. Process Sci., 8(4), 45-63.
Zeng, Y. (2004b). A Formal Design Science. Proceedings of the Canadian Engineering Education Association.
Zeng, Y. (2008). Recursive Object Model (ROM)--Modelling of Linguistic Information in Engineering Design. Computers in Industry, 59(6), 612-625.
Zeng, Y. (2011). Environment-Based Design (EBD). ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, 237-250
Zeng, Y.& Cheng, G. D. (1991). On the Logic of Design. Design Studies, 12(3), 137-141.
Zeng, Y.& Gu, P. (1999). A Science-Based Approach to Product Design Theory Part I: Formulation and Formalization of Design Process. Robotics and Computer-Integrated Manufacturing, 15(4), 331-339.
Zeng, Y.& Jin, J. L. (1993). A Symbolic Structure of Design Creativity, 2012, from http://users.encs.concordia.ca/~design/reference/ASymbolicStructureofDesignCreativity.pdf
Zeng, Y., Pardasani, A., Antunes, H., Li, Z., Dickinson, J., Gupta, V., & Baulier, D. (2004a). Mathematical Foundation for Modeling Conceptual Design Sketches. Transactions of the ASME: Journal of Computing and Information Science in Engineering, 4(2), 150.
Zeng, Y., Yan, B. Q., Chen, B., & Yao, S. J. (2004b). A Theoretical and Experimental Study on Design Creativity. Proceedings of The Inaugural CDEN Design Conference, July 29-30, Montreal, Canada.
Zipf, G. K. (1949). Human Behavior and the Principle of Least Effort: An Introduction to Human Ecology: Addison-Wesley Press.

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