Dissonance Engineering: A New Challenge to Analyse Risky Knowledge When using a System


  • Frédéric Vanderhaegen 1 Univ Lille Nord de France, F-59000 Lille, France 2 UVHC, LAMIH, F-59313 Valenciennes, France 3 CNRS, UMR 8201, F-59313 Valenciennes, France


dissonance engineering, erroneous affordance, contradictory knowledge, risk analysis, car driving system


The use of information systems such as on-board automated systems for cars presents sometimes operational risks that were not taken into account with classical risk analysis methods. This paper proposes a new challenge to assess risks by implementing an automated tool based on the dissonance engineering principle. It consists in analysing knowledge in term of dissonances. A dissonance is defined as a knowledge that sounds wrong, or in other words that may present conflicts. The paper focuses on two kinds of dissonances: erroneous affordances when events can be related to erroneous actions and contradictory knowledge when the application of knowledge relates to opposite actions. The proposed automated tool analyses the knowledge base content in order to detect possible dangerous affordances or contradictory knowledge. An example of application is given by using a limited number of simple rules related to the use of an Automated Speed Control (ASC) system for car driving.


F. Vanderhaegen (2010), Human-error-based design of barriers and analysis of their uses Cognition Technology & Work, 12: 133-142 http://dx.doi.org/10.1007/s10111-010-0146-3

F. Vanderhaegen (2013), A Dissonance Management Model for Risk Analysis Proceedings of the 12th IFAC/IFIP/IFORS/IEA Symposium on Analysis, Design, and Evaluation of Human-Machine Systemsl, Las Vegas, USA, August, 11-15.

L. Festinger (1957), A theory of cognitive dissonance. Stanford, CA: Stanford University Press.

G.-Y. Kervern (1995), Eléments fondamentaux des cindyniques (Fondamental elements of cindynics) Economica Editions, Paris.

T.-Y. Chen (2011), Optimistic and pessimistic decision making with dissonance reduction using interval-valued fuzzy sets Information Sciences, 181(3): 479-502. http://dx.doi.org/10.1016/j.ins.2010.10.005

F. Vanderhaegen (2012), Cooperation and learning to increase the autonomy of ADAS Cognition, Technology & Work, 14: 61-69. http://dx.doi.org/10.1007/s10111-011-0196-1

F. Vanderhaegen, S. ChalmĂŠ, F. Anceaux, P. Millot (2006), Principles of cooperation and competition - Application to car driver behavior analysis Cognition, Technology & Work, 8(3): 183-192. http://dx.doi.org/10.1007/s10111-006-0037-9

O. Brunel, C. Gallen (2011), Just like cognitive dissonance Proceedings of the 27th International Congress of French Association of Marketing, 8-20 May 2011, Brussels.

E. E. Telci, C. Maden, D. Kantur (2011), The theory of cognitive dissonance: A marketing and management perspective Procedia Social and Behavioral Sciences, 24: 378-386.

E. AĂŻmeur (1998), Application and assessment of cognitive dissonance Theory in the learning process Journal of Universal Computer Science, 4(3): 216-247.

F. Vanderhaegen (1999), Cooperative system organisation and task allocation: illustration of task allocation in air traffic control Le Travail Humain, 63(3): 197-222.

F. Vanderhaegen (1999), Multilevel allocation modes - Allocator control policies to share tasks between human and computer System Analysis Modelling Simulation, 35: 191-213.

F. Vanderhaegen (1997), Multilevel organization design: the case of the air traffic control Control Engineering Practice, 5(3): 391-399. http://dx.doi.org/10.1016/S0967-0661(97)00016-6

S. Zieba, P. Polet, F. Vanderhaegen (2011), Using adjustable autonomy and human machine cooperation to make a human machine system resilient Application to a ground robotic Information Sciences, 181(3): 379-397. http://dx.doi.org/10.1016/j.ins.2010.09.035

F. Vanderhaegen, S. Zieba, S. Enjalbert, P. Polet (2011), A Benefit/Cost/Deficit (BCD) model for learning from human errors Reliability Engineering & System Safety, 96(7): 757-76. http://dx.doi.org/10.1016/j.ress.2011.02.002

P. Polet, F. Vanderhaegen, S. Zieba (2012), Iterative learning control based tools to learn from human error Engineering Applications of Artificial Intelligence, 25(7): 1515-1522. http://dx.doi.org/10.1016/j.engappai.2012.01.010

M. Ercan, T. Acarman (2013), Processing capacity and response time enhancement by using iterative learning approach with an application to insurance policy server operation International Journal of Computers Communications & Control, 8(4): 514-524. http://dx.doi.org/10.15837/ijccc.2013.4.8

C.K. Ang, S.H. Tang, S. Mashohor, M.K.A.M. Arrn (2014), Solving continuous trajectory and forward kinematics simultaneously based on ANN International Journal of Computers Communications & Control, 9(3):253-260. http://dx.doi.org/10.15837/ijccc.2014.3.112

F. Vanderhaegen, P. Caulier (2011), A multi-viewpoint system to support abductive reasoning Information Sciences, 181(24): 5349-5363. http://dx.doi.org/10.1016/j.ins.2011.07.050

JJ Gibson (1986), The ecological approach to visual perception Lawrence Erlbaum Associates, Hillsdale (Originally published in 1979).

S. Zieba, T. Inagaki, F. Vanderhaegen (2010), Resilience engineering by the management of affordances Application to intelligent transport system. Proceedings of the 11th IFAC/IFIP/IFORS/ IEA Symposium on Analysis, Design, and Evaluation of Human-Machine Systems, Valenciennes, France, August 31 September 3, 2010.

F. Aguirre, M. Sallak, F. Vanderhaegen, D. Berdjag (2013), An evidential network approach to support uncertain multiviewpoint abductive reasoning Information Sciences, 253:110-125. http://dx.doi.org/10.1016/j.ins.2013.07.014

F. Vanderhaegen, P. Polet, S. Zieba (2009), A reinforced iterative formalism to learn from human errors and uncertainty Engineering Applications of Artificial Intelligence, 22(4-5): 654-659. http://dx.doi.org/10.1016/j.engappai.2009.01.008



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