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Schütte, Simon
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Publications (10 of 31) Show all publications
Schütte, S. & Marco-Almagro, L. (2018). Development and Application of Online Tools for Kansei Engineering Evaluations. In: Anitawati Lokman and Simon Schütte (Ed.), Proceedings KEER2018, Go Green with Emotion. 7th International Conference on Kansei Engineering & Emotion Research 2018, 19-22 March 2018, Kuching, Malaysia: . Paper presented at 7th International Conference on Kansei Engineering & Emotion Research 2018, 19-22 March 2018, Kuching, Malaysia (pp. 20-28). Linköping: Linköping University Electronic Press
Open this publication in new window or tab >>Development and Application of Online Tools for Kansei Engineering Evaluations
2018 (English)In: Proceedings KEER2018, Go Green with Emotion. 7th International Conference on Kansei Engineering & Emotion Research 2018, 19-22 March 2018, Kuching, Malaysia / [ed] Anitawati Lokman and Simon Schütte, Linköping: Linköping University Electronic Press, 2018, p. 20-28Conference paper, Published paper (Refereed)
Abstract [en]

Kansei Engineering is a methodology seeking to grasp customers’ feelings and subjective affective opinion of products as well as turning their affective needs into suitable product concepts. The procedure is rather complex and requires a fair amount of interdisciplinary expertise and experience in order to achieve reliable results. The high threshold to learn those techniques is preventing many practitioners from applying it. There are, however, software packages that have supported product designers to perform Kansei Engineering evaluations without being experts in the field of statistical mathematics. This paper will give a short overview on Kansei procedure, and the methods attached to it, and shows present and future areas of application for computerized tools in Kansei Engineering.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2018
Series
Linköping Electronic Conference Proceedings, ISSN 1650-3686, E-ISSN 1650-3740 ; 146
National Category
Mechanical Engineering
Identifiers
urn:nbn:se:liu:diva-146116 (URN)9789176853146 (ISBN)
Conference
7th International Conference on Kansei Engineering & Emotion Research 2018, 19-22 March 2018, Kuching, Malaysia
Available from: 2018-03-28 Created: 2018-03-28 Last updated: 2018-03-28Bibliographically approved
Lokman, A. & Schütte, S. (Eds.). (2018). Proceedings KEER2018, Go Green with Emotion: 7th International Conference on Kansei Engineering & Emotion Research 2018, 19-22 March 2018, Kuching, Malaysia. Paper presented at KEER2018, Go Green with Emotion. 7th International Conference on Kansei Engineering & Emotion Research 2018, 19-22 March 2018, Kuching, Malaysia. Linköping: Linköping University Electronic Press
Open this publication in new window or tab >>Proceedings KEER2018, Go Green with Emotion: 7th International Conference on Kansei Engineering & Emotion Research 2018, 19-22 March 2018, Kuching, Malaysia
2018 (English)Conference proceedings (editor) (Refereed)
Abstract [en]

The KEER 2018 is the 7th event in a Conference Series held under the auspices of theJapan Society of Kansei Engineering (JSKE), theTaiwan Institute of Kansei (TIK), and theEuropean Kansei Group (EKG).Malaysia Association of Kansei Engineering (MAKE) is the local organizer of this conference, strongly supported by Research Interest Group of Kansei / Affective Engineering (RIG KAE), Universiti Teknologi MARA (UiTM), UiTM Sarawak, Sarawak Convention Bureau (SCB), Malaysia Convention & Exhibition Bureau (MyCEB), Ministry of Higher Education (MoHE), and Kolej Univeristi Poly-Tech MARA. KEER 2018 will be held in Kuching Sarawak, Malaysia. KEER 2018 conference theme is “Go Green with Emotion” reflecting the growing spectrum in green design and technology through Kansei and Emotion approach towards sustainable economy, society, lifestyle and nature.​

Emotion is the new fashion! KEER 2018 provides a platform for everyone to gather, share, and learn how Kansei is related to emotion, and how Kansei Engineering is used to engineer emotion, what more, in the land of Orang Utan and Rafflessia. KEER  2018 is inviting authors from multidisciplinary fields to submit high quality and unpublished papers. Submissions are focused on human experience with topics related, but not limited, to Kansei and Emotion. KEER 2018 also provides a platform for researchers, innovators, academicians, practitioners, and other interested parties from diverse culture, background, and expertise, to gather,learn, and share different viewpoints in a warm, rich and open-minded context.Join us in our keynote session, parallel session, workshop, poster session, video festival, and exhibition.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2018. p. 530
Series
Linköping Electronic Conference Proceedings, ISSN 1650-3686, E-ISSN 1650-3740 ; 146
National Category
Mechanical Engineering
Identifiers
urn:nbn:se:liu:diva-146115 (URN)9789176853146 (ISBN)
Conference
KEER2018, Go Green with Emotion. 7th International Conference on Kansei Engineering & Emotion Research 2018, 19-22 March 2018, Kuching, Malaysia
Available from: 2018-03-28 Created: 2018-03-28 Last updated: 2018-03-28Bibliographically approved
Marco-Almagro, L., Tort-Martorell, X. & Schütte, S. (2018). Segmentation in Kansei Engineering Studies Based on the Emotional Response. In: Anitawati Lokman and Simon Schütte (Ed.), Proceedings KEER2018, Go Green with Emotion. 7th International Conference on Kansei Engineering & Emotion Research 2018, 19-22 March 2018, Kuching, Malaysia: . Paper presented at 7th International Conference on Kansei Engineering & Emotion Research 2018, 19-22 March 2018, Kuching, Malaysia (pp. 231-238). Linköping: Linköping University Electronic Press
Open this publication in new window or tab >>Segmentation in Kansei Engineering Studies Based on the Emotional Response
2018 (English)In: Proceedings KEER2018, Go Green with Emotion. 7th International Conference on Kansei Engineering & Emotion Research 2018, 19-22 March 2018, Kuching, Malaysia / [ed] Anitawati Lokman and Simon Schütte, Linköping: Linköping University Electronic Press, 2018, p. 231-238Conference paper, Published paper (Refereed)
Abstract [en]

Socioeconomic and demographic data of participants are often collected when performing a Kansei Engineering study for stratification purposes. This paper offers an alternative stratification procedure, directly based on the emotional response that participants give to prototypes. This approach can deliver groups that are more meaningful for the Kansei Engineering study. Socioeconomic and demographic data (among other kinds of data) can then be used to characterize the obtained emotional groups.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2018
Series
Linköping Electronic Conference Proceedings, ISSN 1650-3686, E-ISSN 1650-3740 ; 146
Keyword
Hierarchical cluster analysis, customer segmentation, Kansei engineering study
National Category
Mechanical Engineering
Identifiers
urn:nbn:se:liu:diva-146117 (URN)9789176853146 (ISBN)
Conference
7th International Conference on Kansei Engineering & Emotion Research 2018, 19-22 March 2018, Kuching, Malaysia
Available from: 2018-03-28 Created: 2018-03-28 Last updated: 2018-03-28Bibliographically approved
Schütte, S. (2013). Evaluation the affective coherence of the exterior and interior of chocolate snacks. Food Quality and Preference, 29(1), 16-24
Open this publication in new window or tab >>Evaluation the affective coherence of the exterior and interior of chocolate snacks
2013 (English)In: Food Quality and Preference, ISSN 0950-3293, E-ISSN 1873-6343, Vol. 29, no 1, p. 16-24Article in journal (Refereed) Published
Abstract [en]

The Scandinavian confectionery market is dominated by three major manufacturers, of whom two are affiliates of international conglomerates and one is a domestic producer. The aim of this study was to map the affective impression of chocolate bars’ exterior and interior and give suggestions for a coherent design. Kansei Engineering was used for this. Products were rated on AVI scales with relevant Kansei words, resulting in affective profile graphs. These data were processed treated using Factor Analysis. Four factors were retrieved: Attraction, Life-Style, Familiarity and Snack. Multiple Regression Analysis and Rough Set Analysis were applied to map relationships between physical attributes and affective values. Attributes with significant affective impact are size, shape, color: and brand (packaging) and Surface roughness, Separation and top- and side-angles (shape). The data were used for successful product development and a product series with coherent attributes was developed. One product is used to illustrate the process. Kansei Engineering proved to be suitable for this task although the results may be biased since the evaluation is based on visual impression only.

Place, publisher, year, edition, pages
London: Elsevier, 2013
Keyword
Chocolate bars; Packaging design; Kansei Engineering; Quantification theory type 1; Rough Sets Analysis
National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-89433 (URN)10.1016/j.foodqual.2013.01.008 (DOI)000317947100003 ()
Available from: 2013-02-25 Created: 2013-02-25 Last updated: 2017-12-06
Schütte, S. (2012). A selection of Affective Engineering Tools with Regards to Affective Evaluations of Vehicle interior. Linköping: Linköpings Universitet
Open this publication in new window or tab >>A selection of Affective Engineering Tools with Regards to Affective Evaluations of Vehicle interior
2012 (English)Report (Other academic)
Place, publisher, year, edition, pages
Linköping: Linköpings Universitet, 2012
National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-89434 (URN)
Available from: 2013-02-25 Created: 2013-02-25 Last updated: 2013-03-05
Schütte, S. & Eklund, J. (2010). Ratingscales in Kansei Engineering: Modification for an European Context. Paper presented at Internation Conference on Kansei Engineeering and Emotion Research KEER 2010.
Open this publication in new window or tab >>Ratingscales in Kansei Engineering: Modification for an European Context
2010 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Kansei or Affective Engineering is a relatively new research field in the West.Linköping University in Sweden has been pioneering research and applicationwithin Kansei Engineering since 1999. Several companies have cooperated indifferent Kansei studies, for example Toyota/BT, Volvo, Saab, Scania. In some of theearly studies, there were difficulties to apply the methodology. Reasons for thisincluded shortage of competence within affective design in European organizations,but also the fact that incitements for improvement of product design seemed to belacking. One of the problems applying the methodology was that Europeanparticipants in the studies did not accept to make a vast number of ratings duringlong time periods. Japanese researchers used 5-point semantic differentialquestionnaires and up to 300 rating-scales per participant and product. In order toovercome this problem, a modification of the rating scales was developed. Hence,data reduction methods such as factor analysis, affinity diagram and Pareto chartswere tested and validated in order to reduce the number of Kansei words andproduct samples used, without compromising the validity of the result. Thisapproach eventually resulted in the development of a universal Kansei EngineeringSoftware (KESo) which reduces the time needed for each Kansei Engineering study.Another objective for our research has been to develop and validate methods forincomplete data collection, i.e. a prioritization of product attributes. Another resultfrom the cooperation with industrial companies is that the companies stronglyemphasised that product development studies need to be less time and resourceconsuming.Keywords:

National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-56409 (URN)
Conference
Internation Conference on Kansei Engineeering and Emotion Research KEER 2010
Available from: 2010-05-19 Created: 2010-05-11 Last updated: 2010-05-19Bibliographically approved
Schütte, S., Ayas Alikalfa, E., Dahlgaard, J. J. & Dahlgaard Park, S. M. (2009). Kansei Engineering in Food Industry (1ed.). In: Miflora Minoza-Gatchalian and Grace Divino Brannan (Ed.), Sensory Quality Measurement: Statistical Analysis aof Human Responses (pp. 246-264). Quezon City, Philippines: Quality Partners Company
Open this publication in new window or tab >>Kansei Engineering in Food Industry
2009 (English)In: Sensory Quality Measurement: Statistical Analysis aof Human Responses / [ed] Miflora Minoza-Gatchalian and Grace Divino Brannan, Quezon City, Philippines: Quality Partners Company , 2009, 1, p. 246-264Chapter in book (Other academic)
Place, publisher, year, edition, pages
Quezon City, Philippines: Quality Partners Company, 2009 Edition: 1
Keyword
Food, impression, evaluation
National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-56410 (URN)978-971-691-921-9 (ISBN)
Available from: 2010-05-11 Created: 2010-05-11 Last updated: 2014-03-13Bibliographically approved
Nordvik, E., Schutte, S. & Broman, N. O. (2009). People's Perceptions of the Visual Appearance of Wood Flooring: A Kansei Engineering Approach. FOREST PRODUCTS JOURNAL, 59(11-12), 67-74
Open this publication in new window or tab >>People's Perceptions of the Visual Appearance of Wood Flooring: A Kansei Engineering Approach
2009 (English)In: FOREST PRODUCTS JOURNAL, ISSN 0015-7473, Vol. 59, no 11-12, p. 67-74Article in journal (Refereed) Published
Abstract [en]

Evaluations of products based on visual stimuli are at the same time both subjective and important. The aim of this study was to examine the relationship between the visual properties of wood flooring and peoples reactions to computer visualization of interior wood products. The research strategy involved showing digital pictures of the same room, but with different wood floorings. The impressions of potential consumers were measured by means of rating scales for each descriptive word. This was done using the method of Kansei engineering, in which statistical connections between properties and semantics (descriptions) were analyzed. The research presented here contributes to theory and practice in two important ways. First and most important, the study shows that the chosen method is suitable for measuring peoples preferences on visualizations of interior wood. Second, the results indicate that certain properties are important for a floor to be judged as "good-looking" and others for a floor to be deemed "modern" or "vivid."

Place, publisher, year, edition, pages
Forest Products Research Society, 2009
National Category
Medical and Health Sciences
Identifiers
urn:nbn:se:liu:diva-57410 (URN)000278424000010 ()
Available from: 2010-06-18 Created: 2010-06-18 Last updated: 2010-06-21
Schütte, S., Krus, P. & Eklund, J. (2008). Integration of Affective Engineering in Product Development Processes. In: Second First European Conference of Kansei Engineering,2008. Helsingborg: Kansei Engineering
Open this publication in new window or tab >>Integration of Affective Engineering in Product Development Processes
2008 (English)In: Second First European Conference of Kansei Engineering,2008, Helsingborg: Kansei Engineering , 2008Conference paper, Published paper (Refereed)
Abstract [en]

  

Place, publisher, year, edition, pages
Helsingborg: Kansei Engineering, 2008
National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-43853 (URN)74959 (Local ID)74959 (Archive number)74959 (OAI)
Available from: 2009-10-10 Created: 2009-10-10
Dahlgaard, J. J., Schütte, S., Ayas, E. & Dahlgaard-Park, S. M. (2008). Kansei/affective engineering design: A methodology for profound affection and attractive quality creation. The TQM Journal, 20(4), 299-311
Open this publication in new window or tab >>Kansei/affective engineering design: A methodology for profound affection and attractive quality creation
2008 (English)In: The TQM Journal, ISSN 1754-2731, E-ISSN 1754-274X, Vol. 20, no 4, p. 299-311Article in journal (Refereed) Published
Abstract [en]

Purpose – The purpose of the paper is to present and discuss the Kansei engineering (KE) methodology, and to reflect on the future development of KE. The paper presents a model of the KE methodology and illustrates how this model was applied on a simple example which all may understand – design of a new chocolate bar.

Design/methodology/approach – The research methodology is a combination of desk research (literature analysis), data collection, data analysis, reflections and model building.

Findings – The paper suggests a structural model as a possible expanded framework for future Kansei/affective engineering research studies. According to the model profound affection is a result of the following six enabler factors: sensing experience; emotional experiences (Kansei); behavioural experiences/action; social experiences/interactions and relations; spiritual experiences/moral, ethics; intellectual experiences/cognition.

Originality/value – The paper defines “Profound affection” as a very comprehensive state, which is a result of a combination of sensing, intellectual/cognitive, emotional, social, behavioural and spiritual experiences. “Profound affection” is not only a result of sensing or emotional experiences.

Place, publisher, year, edition, pages
Emerald Group Publishing Limited, 2008
Keyword
Chocolate, Marketing, Product attributes, Product design
National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-45755 (URN)10.1108/17542730810881294 (DOI)
Available from: 2009-10-11 Created: 2009-10-11 Last updated: 2017-12-13Bibliographically approved
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