How will the use of graphics affect visual aesthetics? A user-centered approach for web page design

Lin, Yang-Cheng; Yeh, Chung‐Hsing; Wei, Chun-Shu

doi:10.1016/j.ijhcs.2012.10.013

Cited by 73 publications

(40 citation statements)

References 46 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Some studies have revealed that the first impression of a product as perceived by consumers is important for manufacturing companies and product designers (Lin et al, 2013;Sanchez-Franco & Roldan, 2010). The first impression and affective preferences of consumers are strongly influenced by the appearance of the product, called "visual ergonomics," or "visual aesthetics" (Lavie, Oron-Gilad, & Meyer, 2011;Tuch, Bargas-Avila, & Opwis, 2010).…”

Section: Consumer-oriented Design and Human Factorsmentioning

confidence: 99%

“…Gray system theory can be used to examine the relationship among factors in an observable system in which the information available is gray, meaning uncertain and incomplete (i.e., only part of the information is known). In addition, research application results highlight its effective handling of incomplete known information for exploring unknown information (Lai et al, 2005; S. L. Lin & Wu, 2011;Lin et al, 2013;Yang, 2011).…”

Section: Limitations and Further Studiesmentioning

confidence: 99%

See 1 more Smart Citation

A hybrid consumer‐oriented model for product affective design: An aspect of visual ergonomics

Lin

Wei

2016

Hum Ftrs & Erg Mfg Svc

Self Cite

View full text Add to dashboard Cite

Crucial issues for product designers include how to capture consumers’ attention, evoke their pleasurable preferences, and affect their purchase decisions. In this article, we focus on consumers’ affective preferences in relation to visual ergonomics to propose a new hybrid consumer‐oriented model using gray relational analysis (GRA), gray prediction (GP), and the technique for order preference by similarity to ideal solution (TOPSIS). The GRA is used to identify the most influential elements of the product form to help product designers focus their attention more on these elements without compromising the predictive performance. The GP is used in conjunction with the GRA to obtain a better structure for the hybrid consumer‐oriented model, and TOPSIS is performed to determine the optimal alternatives for best matching consumers’ affective preferences. These experimental results show that the new hybrid consumer‐oriented model incorporated with the CAD/CAM system can facilitate the product affective design process.

show abstract

Section: Consumer-oriented Design and Human Factorsmentioning

confidence: 99%

Section: Limitations and Further Studiesmentioning

confidence: 99%

A hybrid consumer‐oriented model for product affective design: An aspect of visual ergonomics

Lin

Wei

2016

Hum Ftrs & Erg Mfg Svc

Self Cite

View full text Add to dashboard Cite

show abstract

“…In addition, there are many studies on the relationship between design factors/features and usability/aesthetics. The design factors/features include webpage style (Djamasbi, Siegel, & Tullis, ; Hsu, ; Torrente, Prieto, Gutiérrez, & Sagastegui, ), color (Bonnardel, Piolat, & Le Bigot, ; Cyr, Head, & Larios, ), graphics (Lin, Yeh, & Wei, ), hypertext system (Ignacio Madrid, Van Oostendorp, & Puerta Melguizo, ), and complexity and order (Deng & Poole, ). Most of the existing research is quantitative analysis about the cause and effect between design factors/features and usability/aesthetics.…”

Section: Related Workmentioning

confidence: 99%

Optimization Design of a Webpage Based on Kansei Engineering

et al. 2015

View full text Add to dashboard Cite

Webpage design has become an important component affecting user satisfaction when they surf the Internet. Interface designers are struggling to improve the quality of user experience by designing webpages that meet users’ emotional needs. An optimization design method of webpage interface is proposed in this study based on Kansei engineering theory, and a job‐hunting website homepage is taken as the research example. After determining the materials, the semantic differential (SD) method is used to extract user‐centered emotional dimensions, and the key design factors of homepages’ appearance are acquired. Next, based on the obtained semantic differential evaluation data, back propagation neural network (BPNN) is conducted to identify quantitative relations between key design factors and emotional dimensions. Finally, genetic algorithm (GA) is employed to search for a near‐optimal design. The proposed method is helpful to design webpages that can satisfy participants’ emotions. It can also be used in a variety of design cases.

show abstract

“…As a bridge connecting consumers' feeling or image for a product and design elements (Nagamachi 1989(Nagamachi , 1995Matsubara and Nagamachi 1997), Kansei engineering technique has been applied in many design fields, such as physical product design (Lai, Lin, and Yeh 2005;Chang 2008;Chen and Chang 2009;Wang 2011a), webpage design (Lin, Yeh, and Wei 2013), product-service system design (Carreira et al 2013), product platform design (Kuang and Jiang 2009), etc. So far, there have been seldom research works about optimisation design on the web appearance. An improved genetic algorithm has been proposed by Manabu et al (2003) used to study the interaction among different colours, and an amendment model has been presented considering different colours combination.…”

Section: Literature Reviewmentioning

confidence: 99%

Kansei knowledge extraction based on evolutionary genetic algorithm: an application to e-commerce web appearance design

2015

Theoretical Issues in Ergonomics Science

View full text Add to dashboard Cite

Considering the overall consumer preference based on Kansei engineering, this paper focuses on optimising the appearance design of e-commerce web. In the beginning, we have used iView X RED Eye Tracking Systems experimental apparatus produced by SensoMotoric Instruments in Germany to extract web design elements, and then several representative webs are designed based on orthogonal test design, following by surveys we have made. Furthermore, structural equation models are established in order to obtain a single preference factor on the influence of e-commerce web design. Finally, based on the neural networks (NNs) and evolutionary genetic algorithm approach, the global optimisation appearance design of the e-commerce web is fetched by simulation on computer, providing the effective suggestions for the ecommerce web designer. This research paper presents a systematic approach that convert consumer's Kansei knowledge into usable product multi-dimensional design variables.

show abstract

How will the use of graphics affect visual aesthetics? A user-centered approach for web page design

Cited by 73 publications

References 46 publications

A hybrid consumer‐oriented model for product affective design: An aspect of visual ergonomics

A hybrid consumer‐oriented model for product affective design: An aspect of visual ergonomics

Optimization Design of a Webpage Based on Kansei Engineering

Kansei knowledge extraction based on evolutionary genetic algorithm: an application to e-commerce web appearance design

Contact Info

Product

Resources

About