FuzEmotion as a backward kansei engineering tool

Xu, Xun; Hsiao, Hsiang-Hung; Wang, William Wei-Lin

doi:10.1007/s11633-012-0611-y

Cited by 4 publications

(2 citation statements)

References 23 publications

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“…Applications in “usability” (Seva et al, 2011 ; Hill and Bohil, 2016 ), “cognitive ergonomics” (Chang and Chen, 2016 ; Montewka et al, 2017 ), and “cognitive engineering” (Li and Gunal, 2012 ) appear to be more current than applications in “affective design” (Jiao et al, 2006 ; Lu and Petiot, 2014 ; Jiang et al, 2015a ), “kansei engineering” (Nagamachi, 2002 ; Xu et al, 2012 ; Mele and Campana, 2018 ), and “emotional design” (Guo et al, 2014 ). All cognitive and affective need applications are interconnected to the product design and indicate cognitive approaches more focused on product usability and functionality, while affective and emotional approaches are more focused on pleasure and consumption.…”

Section: Resultsmentioning

confidence: 99%

A Systematic Literature Review of Consumers' Cognitive-Affective Needs in Product Design From 1999 to 2019

Tavares

Canciglieri

Guimarães

et al. 2021

Front. Neuroergonomics

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Understanding consumer cognitive and affective needs is a complex and tricky challenge for consumer studies. Creating and defining product attributes that meet the consumers' personal wishes and needs in different contexts is a challenge that demands new perspectives because there are mismatches between the objective of companies and the consumer's objective, which indicates the need for products to become increasingly consumer-oriented. Product design approaches aim to bring the product and consumer closer together. The objective of this study is to investigate the application of the cognitive and affective needs of the consumer in product design through a systematic review of the literature of publications carried out in the last 20 years. This article selects research carried out in the specific area of cognitive and affective product design and defines the state of the art of the main areas, challenges, and trends. The conclusion that was reached is that cognitive approaches have been updated, are more associated with technology, and so are focused and oriented toward the ease and friendliness of the product. In contrast, affective approaches are older and focus on the quality of life, satisfaction, pleasure, and friendliness of the product. This review indicates that the emotional focus of change for cognitive complexity is due to an understanding of the affective and emotional subjectivity of the consumers and how they can translate these requirements into product attributes. These approaches seem to lose their strength or preference in the areas of design and engineering for more rational and logical cognitive applications, and therefore are more statistically verifiable. Advances in neuroscience are focused on applications in marketing and consumer psychology and some cognitive and affective product designs.

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Section: Resultsmentioning

confidence: 99%

A Systematic Literature Review of Consumers' Cognitive-Affective Needs in Product Design From 1999 to 2019

Tavares

Canciglieri

Guimarães

et al. 2021

Front. Neuroergonomics

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“…This type is known as hybrid since it is a combination of both Kansei Engineering (Hsiao & Wang, 2012) and the use of a computer-assisted system (Hsiao & Wang, 2012).…”

Section: Kansei Types 3-hybridmentioning

confidence: 99%

An approach to website design for Turkish universities, based on the emotional responses of students

Abdi

Greenacre

2020

Cogent Engineering

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In this age of advanced technology, every university has a website to endorse their programs and encourage students around the world to join one of their faculties. However, universities give less attention to meet the users' demands for visually attractive websites that satisfy their emotions. This study proposes a Kansei Engineering approach based on human emotion to identify elements of website design that are emotionally appealing to 18-37 year-old students in Turkish universities. A total of 22 Kansei words and 9 sample websites of Turkish universities were selected for the study. The sample consisted of 172 students, who were asked to evaluate the selected websites using Kansei words. A five-point semantic differential scale was used to evaluate the relationship between website elements and the Kansei words. The multivariate statistical methods factor analysis and partial least squares regression were used to implement the Kansei approach. The results displayed that Kansei Engineering methodology and multivariate statistical analyses played a key role in designing an attractive website in order to satisfy student's emotions. It also showed that a pleasant university website should have top menu, small header size, logo on the left side and so on.

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