abstract

Comparison of Kansei Engineering and AttrakDiff to Evaluate Kitchen Products

Authors:

Weijie WeiAuthors Info & Claims

CHI EA '16: Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems

Pages 2999 - 3005

https://doi.org/10.1145/2851581.2892407

Published: 07 May 2016 Publication History

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Abstract

Kansei Engineering can be used to create scales to measure perceptions and evaluations of products in a particular context. To what extent do specifically constructed Kansei scales reveal more information about a product than a more generic, prestructured instrument, such as AttrakDiff? This case study identified relevant affective and pragmatic Kansei attributes that influence the purchase of a range hood (cooker hood). 102 customers rated the extent to which each of 10 range hoods possessed these attributes. In addition, AttrakDiff was used to measure hedonic and pragmatic quality perceptions. There was a general high correspondence between AttrakDiff and Kansei. While Kansei provided richer and more specific feedback, it was more resource intensive to carry out.

References

[1]

Cathy Barnes, Tom Childs, Brian Henson and Stephen Lillford. 2008. Kansei engineering toolkit for the packaging industry, The TQM Journal, 20(4) pp. 372--388/ https://www.researchgate.net/publication/200552795_Kansei_engineering_toolkit_for_the_packaging_ industry

Crossref

Google Scholar

[2]

Marc Hassenzahl. 2001. The effect of perceived hedonic quality on product appealingness. International Journal of Human-Computer Interaction, 13, 481-499.

Crossref

Google Scholar

[3]

Marc Hassenzahl. 2003. The thing and I: Understanding the relationship between user and product. In M. Blythe, C. Overbeeke, A. F. Monk, & P. C. Wright (Eds.), Funology: From usability to enjoyment (pp. 31-42). Dordrecht, the Netherlands: Kluwer Academic.

Digital Library

Google Scholar

[4]

Marc Hassenzahl. 2004. The interplay of beauty, goodness, and usability in interactive products. Human-Computer Interaction, 19, 319-349.

Digital Library

Google Scholar

[5]

Marc Hassenzahl. 2010. Experience design: Technology for all the right reasons. San Rafael, CA: Morgan & Claypool.

Digital Library

Google Scholar

[6]

Zhengjie Liu and Nigel Bevan. 2016. Kansei and Attrak Diff scale items in Chinese. http://nigelbevan.com/kansei.htm

Google Scholar

[7]

Jan Moorman. 2012. Leveraging the Kano Model for Optimal Results. UX Magazine. http://uxmag.com/articles/leveraging-the-kanomodel-for-optimal-results

Google Scholar

[8]

Mitsuo Nagamachi and Anitawati Mohd Lokman. 2003. Innovations of Kansei Engineering. Published in English in 2011 by CRC Press.

Google Scholar

[9]

David L. Streiner. 2003. Starting at the beginning: an introduction to coefficient alpha and internal consistency. J Pers Assess. 2003 Feb; 80(1):99103.

Google Scholar

Cited By

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Tullis T(2022)Nigel BevanJournal of Usability Studies10.5555/3532694.353269614:3(134-144)Online publication date: 18-Apr-2022
https://dl.acm.org/doi/10.5555/3532694.3532696
Campano E(2022)Pierre Lévy's Kansei Philosophy As Understood Through Human-Computer Interaction Theories2022 10th International Conference on Affective Computing and Intelligent Interaction (ACII)10.1109/ACII55700.2022.9953885(1-5)Online publication date: 18-Oct-2022
https://doi.org/10.1109/ACII55700.2022.9953885
Papantonopoulos SKarasavova M(2021)A Kansei Engineering Evaluation of the Emotional Appeal of Product Information on E-Commerce Product PagesCHI Greece 2021: 1st International Conference of the ACM Greek SIGCHI Chapter10.1145/3489410.3489436(1-8)Online publication date: 25-Nov-2021
https://dl.acm.org/doi/10.1145/3489410.3489436
Show More Cited By

Index Terms

Comparison of Kansei Engineering and AttrakDiff to Evaluate Kitchen Products
1. Human-centered computing
  1. Human computer interaction (HCI)
2. Software and its engineering
  1. Software creation and management
    1. Designing software
      1. Requirements analysis
      2. Software implementation planning
        Software design techniques
    2. Software development process management

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Published In

CHI EA '16: Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems

May 2016

3954 pages

ISBN:9781450340823

DOI:10.1145/2851581

General Chairs:
Jofish Kaye
Yahoo
,
Allison Druin
University of Maryland / National Park Service
,
Program Chairs:
Cliff Lampe
University of Michigan
,
Dan Morris
Microsoft
,
Juan Pablo Hourcade
University of Iowa

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 May 2016

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CHI'16

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SIGCHI

CHI'16: CHI Conference on Human Factors in Computing Systems

May 7 - 12, 2016

California, San Jose, USA

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CHI EA '16 Paper Acceptance Rate 1,000 of 5,000 submissions, 20%;

Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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CHI '25

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April 26 - May 1, 2025

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Cited By

View all

Tullis T(2022)Nigel BevanJournal of Usability Studies10.5555/3532694.353269614:3(134-144)Online publication date: 18-Apr-2022
https://dl.acm.org/doi/10.5555/3532694.3532696
Campano E(2022)Pierre Lévy's Kansei Philosophy As Understood Through Human-Computer Interaction Theories2022 10th International Conference on Affective Computing and Intelligent Interaction (ACII)10.1109/ACII55700.2022.9953885(1-5)Online publication date: 18-Oct-2022
https://doi.org/10.1109/ACII55700.2022.9953885
Papantonopoulos SKarasavova M(2021)A Kansei Engineering Evaluation of the Emotional Appeal of Product Information on E-Commerce Product PagesCHI Greece 2021: 1st International Conference of the ACM Greek SIGCHI Chapter10.1145/3489410.3489436(1-8)Online publication date: 25-Nov-2021
https://dl.acm.org/doi/10.1145/3489410.3489436
Sánchez-Adame LUrquiza-Yllescas JMendoza S(2020)Measuring Anticipated and Episodic UX of Tasks in Social NetworksApplied Sciences10.3390/app1022819910:22(8199)Online publication date: 19-Nov-2020
https://doi.org/10.3390/app10228199
Ribeiro IProvidência B(2020)Quality Perception with Attrakdiff Method: A Study in Higher EducationAdvances in Design and Digital Communication10.1007/978-3-030-61671-7_21(222-233)Online publication date: 23-Oct-2020
https://doi.org/10.1007/978-3-030-61671-7_21
Akay DDuran BDuran EHenson BBoran F(2020)Developing a Labeled Affective Magnitude scale and Fuzzy Linguistic scale for tactile feelingHuman Factors and Ergonomics in Manufacturing & Service Industries10.1002/hfm.2086631:1(13-26)Online publication date: 2-Sep-2020
https://doi.org/10.1002/hfm.20866

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Recommendations

Systematic Review on Using Biofeedback (EEG and Infrared Thermography) to Evaluate Emotion and User Perception Acquired by Kansei Engineering

Kansei Engineering: Emotion Exploration in Blogs

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