Expressing the expected product images in product design of micro-electronic products

Abstract

In order to explore how to effectively express product image when designing products, micro-electronic products were used as examples in this study to conduct a comprehensive investigation. Firstly, through a questionnaire survey, we deduced that the five most expected images perceived in micro-electronic products are: (i) high-technology, (ii) efficiency, (iii) lightness and handiness, (iv) nobility, and (v) delicacy. Next, sample product photographs were presented to the subjects in order to make various evaluations. Through semantic differential analysis, factor analysis and multidimensional scaling analysis, the subjects' perception of these images for the evaluated products was revealed and a perceptual map of these products derived. Design subjects' perception was compared to that of non-design subjects. Finally, through morphological analysis of these products, the critical 'form elements' and approaches of form treatment among these products were extracted. By using multiple linear regression, the relationships between each image and various form features were concluded. These findings can be further applied not only to establish a desired image in designing products, but also to reduce the perceptual gap between designers and users. Relevance to industryIn the development of micro-electronic products, methods enabling the designer to create an appropriate image for a product so that it may communicate with the user are always critical issues. From this study, the expected images of micro-electronic products and the corresponding form features to achieve these images were extracted. A design guideline was summarized accordingly by which the time and cost of product development can be reduced while the quality of the product designed can be enhanced.

Intentions and Inspiration in Shaping Visual Appearance of Products: The Practice of Professional Industrial Designers in India

“…The attributes and emotions were collected from a large number of studies, e.g. Hsu et al, 2000;Chuang, 2001;Desmet, 2003;Chakrabarti and Gupta, 2007;Desmet and Hekkert, 2007;Desmet, 2008;Orth et al, 2008;Liem et al, 2009;Mugge et al, 2009;Demir et al, 2009;Desmet, 2012;Rodríguez, 2014;Blijlevens et al, 2009; etc. These initial lists of attributes and emotions were judged to be exhaustive when further literature search or discussions with researchers and designers did not reveal any additional words.…”

“…Figure 6. The designers' elicitation frequency of different emotions in shaping a product's visual appearance, standard error of means is shown (Scale: 1 -never, 2 -rarely, 3 -sometimes, 4 -often, 5 -always), literature sources: Hsu et al, 2000;Chuang, 2001;Desmet, 2003;Chakrabarti and Gupta, 2007;etc. (see the section on research methodology for more sources)…”

An intelligent fuzzy regression approach for affective product design that captures nonlinearity and fuzziness

“…The four most representative affective responses for mobile phone design, "simple-complex" (S-C), "unique-general" (U-G), "high-tech-classic" (H-C), and "handy-bulky" (H-B) (Lai et al 2004), were collected from the 14 image word pairs for micro-electronic products (Chuang and Ma 1999), and they were used for evaluating the images values of the mobile phones. A survey was conducted using an online questionnaire to ask about the appearance of mobile phones on the S-C, U-G, H-C, and H-B responses, in which their degrees of image values are denoted as y 1 , y 2 , y 3 and y 4 respectively.…”

Incorporating affective customer needs for luxuriousness into product design attributes

“…By studying product semantics, customers' subjective feelings about a product can be discerned and quantized on a Likert-type scale. Many researchers have used this method to study specific aspects of different product aspects, including styles and colors (Alcantara, Artacho, Gonzalez, & Garcia, 2005;Chuang & Ma, 2001;Houser & Tiller, 2003;Hsu, Chuang, & Chang, 2000;Llinares & Page, 2007;Mondraqon, Company, & Vergara, 2005;Petiot & Yannou, 2004). As a qualitative approach, focus groups are utilized to provide a clear insight on the usefulness of a new product's design (LaChance-Porter, 1993).…”