Affective Engineering Approach to Understand Servicescape Effects

Ebru Ayas
Division of Ergonomics, School of Technology and Health, Royal Institute of Technology, Sweden

Jörgen Eklund
Division of Ergonomics, School of Technology and Health, Royal Institute of Technology, Sweden

Ladda ner artikelhttp://www.ep.liu.se/ecp_article/index.en.aspx?issue=033;article=015

Ingår i: 11th QMOD Conference. Quality Management and Organizational Development Attaining Sustainability From Organizational Excellence to SustainAble Excellence; 20-22 August; 2008 in Helsingborg; Sweden

Linköping Electronic Conference Proceedings 33:15, s. 175-188

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Publicerad: 2008-12-09


ISSN: 1650-3686 (tryckt), 1650-3740 (online)


Purpose: Although numerous articles emphasize the importance of servicescape; methodological approaches to understand and reflect affective needs of customer and employees to the design of the servicescapes have not been fully captured by the existing studies. The aim of the paper is twofold. First is to discuss the role of affective engineering for servicescape design and second is to explain the underlying structure of Kansei (feeling) and related design attribute interactions based on design of experiments modelling.

Methodology/Approach: In this research; the Affective (Kansei) Engineering is proposed to examine the interaction between servicescape design attributes that may affect affective values for the service itself and the service provider. Further a case study is presented applying Affective engineering to identify and design a certain feeling found as important for a servicescape environment.

Findings: The role of Affective Engineering methodology is discussed in a framework for management on how the servicescape be designed to distinguish between functional and affective dimensions (Kansei) of the servicescape and to show how the two dimensions interact. It is suggested that interaction between designs attributes need to be considered to understand and reflect human feelings in servicescape design.

Research limitations/implications- This paper discusses a framework on integrating Affective Engineering methodology.

Practical implications: This study provides useful insights for integration of affective needs for design of physical surroundings of services.

Originality/value-This paper makes an original contribution to propose Affective Engineering methodology for management considerations on design of servicescapes.


Service quality; Kansei interactions; design attribute interactions


Abdi, H. and Valentin, D. (2007), “Multiple correspondence analysis” In: Neil Salkind (Ed.) Encyclopedia of Measurement and Statistics. Thousand Oaks (CA): Sage.

Arneill A.B. and Devlin S.A., (2003), “Healthcare environments and patient outcomes: A review of the literature”. Environment and Behaviour, 35(5), 665–694.

Ayas, E., Eklund, J. and Ishihara, S. (2008), “Affective Design of Waiting Areas in Primary Healthcare”, Special Edition on Affective Engineering, TQM Journal, Vol 4 No: 20.

Bitner, M.J. (1990), “Evaluating Service Encounters’ Effects of Physical Surroundings and Employee Responses”, Journal of Marketing, 54 (April), pp. 69–82.

Bitner, M.J. (1992), "Serviscape: The Impact of Physical Surroundings on Customers and Employees", Journal of Marketing, Vol. 56, 57-71.

Bitner, M.J., (2000) The Servicescape, Handbook of Services Marketing and Management, edt. Swartz, T and Iacobucci, D., Sage publications.

Brady, M., Cronin, J. (2001), "Some new thoughts on conceptualizing perceived service quality: a hierarchical approach", Journal of Marketing, Vol. 65 No.3, pp.34-49.

Cameron, M. A., Baker, J., Peterson M., K. Braunsberger (2003),“The Effects of Music, Wait-Length Evaluation, and Mood on a Low- Cost Wait Experience,” Journal of Business Research, 56, 421-30.

Chen, C.H., Khoo L.P., & Yan, W. (2006). An investigation into affective design using sorting technique and Kohonen self-organising map. Advances in Engineering Software, 37, 334-349.

Childs, T. HC., Dalgarno, K.W., Mckay, A. (2006), “Delivering mass produced bespoke and appealing products”, Special Issue on Advanced Manufacturing Technology, JSME International Journal Series C, Vol. 49 No. 1, pp. 2-10.

Cozby, P.C. (1989), Methods in behavioural research, Mayfield Publishing Company, Mountain View, CA.

Dijkstra, K., Pieterse, M., Pruyn A., (2006), “Physical environmental stimuli that turn healthcare facilities into healing environments through psychologically mediated effects: systematic review”. Journal of Advanced Nursing 56:2, 166–181

Edvardsson D., Sandman P.O. & Rasmussen B. (2006), Caring or uncaring - meanings of being in an oncology environment, Journal of Advanced Nursing, 55(2), p 188-197.

Freud, S., (1913). On beginning the treatment? Standard Edition of the Complete Psychological Works of Sigmund Freud XII. London: Hogarth Press, p. 135.

Greenacre, M.J. (1984), Theory and Application of Correspondence Analysis, Academic Press, London.

Grönroos, C. (2001), "The perceived service quality concept? a mistake?", Managing Service Quality, Vol.11, No. 3.

Grönroos, C. (1998), "Marketing services: the case of a missing product", Journal of Business & Industrial Marketing, Vol.13, No. 4/5.

Ishihara, S., Ishihara, K., Nagamachi, M., & Matsubara, Y. (1995). An automatic builder for a Kansei Engineering expert system using self-organizing neural networks. International Journal of Industrial Ergonomics, 15, 13-24.

Ishihara, S., Ishihara, K., Nagamachi, M., & Matsubara, Y. (1997). An analysis of Kansei structure on shoes using self-organizing neural network. International Journal of Industrial Ergonomics, 19, 93-104.

Japanese Society of Kansei Engineering, www.jske.org.

Jiao, J., Zhang, Y., Helander, M. (2006), “A Kansei mining system for affective design”, Expert Systems with Applications, Vol. 30 No. 4, pp. 658-673.

Kant, Immanuel (2003). Critique of Pure Reason, Dover Publications, USA.

Küller, R. (1980), “Architecture and emotions”, In: B. Mikellides (ed), Architecture for people, Studio Vista, London.

Leather, P., Beale, D., Santos, A., Watts, J., Lee, L. (2003), “Outcomes of environmental appraisal of different hospital waiting areas”, Environment and Behavior, 35(6), 842-869.

Levy, P., (2007). Interdisciplinary Design for the Cyberspace by an approachin Kansei Information—Methodology and Workgroup Communication Tool Design Approach in Kansei, Doctoral thesis, University of Tsukuba.

Mehrabian, A. & Russell, J.A. (1974)., An approach to environmental psychology. Cambridge, MA: The MIT Press.

Nagamachi, M. (1995), “Kansei Engineering: a new ergonomic consumer-oriented technology for product development”, International Journal of Industrial Ergonomics, Vol. 15, pp. 3-11.

Nagamachi, M., Matsubara, Y., Wilson, J.R. (1999), “Comparative Study of Kansei Engineering Analysis between Japan and UK, Japanese Journal of Ergonomics, Vol.35, pp.432-433.

Nagamachi, M., Okazaki, Y., & Ishikawa, M. (2006). Kansei engineering and application of the rough sets model. Proceedings of IMechE 2006, Vol. 220, Part I: Journal of Systems and Control Engineering, 763-768.

Nagasawa, S. (2006), Customer Experience Management Influencing on Human Kansei to MOT, Lecture Notes In Computer Science, Springer-Verlag.

Niedenthal, P.M. and Halberstadt, J. B., (2000) Eichman, Erich (Editor). Cognition and Emotion, Cary, NC, USA: Oxford University Press, Incorporated,. p 173.

Nishino, T., Nagamachi, M., & Ishihara, S. (2001). Rough set analysis on Kansei evaluation of colour. Proceedings of The International Conference on Affective Human Factors Design (pp. 109-115). Singapore. Nishino, T.,

Nagamachi, M., & Tanaka, H. (2006). Variable precision bayesian rough set model and its application to Kansei Engineering. In J.F. Peters, & A. Skowron, Transactions on Rough Sets V, LNCS Vol. 4100 (pp.190-206). Berlin: Springer-Verlag.

Okuhara, K., Matsubara, Y., & Ueno,N. (2005). Extraction of relationship among Kansei words by expert system using rough set analysis. Proceedings of the 2005 International Conference on Active Media Technology (pp.461-466). Kagawa, Japan.

Osgood, C. E., Suci, G. J., Tannenbaum, P. H. (1957), The Measurement of Meaning, Champagne, IL: University of Illinois Press.

Osgood, C.E., Suci, G.J., Tannenbaum, P.H. (1957), The Measurement of Meaning, University of Illinois Press, Champagne, IL.

Parasuraman, A., Zeithaml, V.A., Berry, L.L. (1988), “SERVQUAL: A Multiple Item Scale for Measuring Consumer Perceptions of Service Quality”, Journal of Retailing, Vol. 64 No. 1, pp. 12-40.

Pawlak, Z. (1992), Rough Sets: Theoretical Aspects of Reasoning about Data, Kluwer Academic Publishers.

Predki B., Slowinski R., Stefanowski J., Susmaga R., Wilk, Sz. (1998) ROSE - Software Implementation of the Rough Set Theory. In: L.Polkowski, A.Skowron, eds. Rough Sets and Current Trends in Computing, Lecture Notes in Artificial Intelligence, vol. 1424. Springer-Verlag, Berlin, 605-608.

Routhieaux, R. L., Tansik, D. A. (1997), The benefits of music in hospital waiting rooms”. Health Care Supervisor, 16(2), 31-40.

Russell, J. A., Ward, L. M., Pratt, G.A. (1981), "Affective Quality Attributed to Environments - A Factor Analysis Study," Environment and Behaviour, 13, 259-288.

Rust, Roland T. and Richard L. Oliver, Eds. (1994), Service Quality: New Directions in Theory and Practice. Thousand Oaks, CA: Sage Publications.

Seth N., Deshmukh S.G. Vrat, P. (2005) Service quality models: a review International Journal of Quality & Reliability Management, Vol. 22 No. 9,

SPSS Inc. (2006), SPSS Base 15.0 for Windows User’s Guide, SPSS Inc., Chicago, IL.

Tombs, A., McColl- Kennedy, J.R (2003) Social-Servicescape Conceptual Model, Marketing Theory, 3; 447, SAGE publications.

Tsuchiya, T., Ishihara, S., Matsubara, Y., Nishino, T., & Nagamachi, M. (1999), A method for learning decision tree using genetic algorithm and itsapplication to Kansei Engineering system. Proceedings of IEEE International Conference on Systems, Man, and Cybernetics (pp.279-283). Tokyo, Japan.

Tsuchiya, T., Maeda, T., Matsubara, Y., & Nagamachi, M. (1996). A fuzzy rule induction method using genetic algorithm. International Journal of Industrial Ergonomics. 18, 135-145.

Tyson, G. A., Lambert, G. and Beattie, L. (2002) The impact of ward design on the behaviour, occupational satisfaction and well-being of psychiatric nurses, International Journal of Mental Health Nursing 11, 94–102

Watson, D., Hubbard, B., Wiese, D. (2000), “General Traits of Personality and Affectivity as Predictors of Satisfaction in Intimate Relationships: Evidence from Self- and Partner-Ratings”, Journal of Personality, Vol.68 No. 3, pp. 413–449.

Zeithaml, V.A., Bitner, M.J. (2003), Services Marketing, McGraw Hill, Singapore.  

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