Measuring the functional and usable appeal of crossover B-Car interiors

Shen, Kai-Shuan; Chen, Kuohsiang; Liang, Ching-Chien; Pu, Wei-Ping; Ma, Min-Yuan

doi:10.1002/hfm.20525

Cited by 18 publications

(17 citation statements)

References 20 publications

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“…The independent variables used in this study were three parts of in‐vehicle space, such as instrument panel, door‐trim armrest and A‐pillar, which were always visible to drivers. The instrument panel was chosen because drivers used it most frequently when they were in the car and the design of instrument panel has been evaluated for checking the interior styles of cars in terms of impressions, functionality, and usability (Cho & Lee, ; Shen, Chen, Liang, Pu, & Ma, ). Likewise, door‐trim armrest and A‐pillar were selected because they were not only frequently used by drivers but also they have been investigated as critical areas of automobile interior design (Kim, Lee, Lehto, & Yun, ; Soderberg, Lindkvist, & Carlson, ).…”

Section: Methodsmentioning

confidence: 99%

Perceived Interior Space of Motor Vehicles based on Illusory Design Elements

et al. 2014

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Driver and passengers recognize the interior spaces of cars psychologically as well as physically. Since the car companies have difficulty extending the physical spaces of cars due to the cost and physical constraints, they tend to make an effort to widen the perceived space instead of the physical space. In this study, we aim to investigate the effectiveness of car interior designs to which optical illusions are applied to increase their perceived roominess. Instrument panels, door-trim armrests, and A-pillars were chosen as the interior spaces of cars that optical illusions were applied to because drivers most frequently recognize and use them. To get alternative car interior designs, the original car designs were modified by applying optical illusions. Also, the questionnaire that includes 28 questions was used to measure "perceived roominess," "space completeness," "openness," "dullness," and "narrowness" for original interior design and alternative designs based on optical illusions, and 30 people participated in the experiments that were conducted to compare among original and optical illusion-based designs. As a result, optical illusion-based designs were significantly better than original designs in terms of perceived roominess, and the following alternative designs were recommended: the instrument panel design of a 30% longer converging point than the original design, the horizontal door-trim armrest design, and the A-pillar design whose cross section is rectangular. We can conclude that the optical illusions can be applied to designing in-vehicle spaces to increase perceived roominess. C 2014 Wiley Periodicals, Inc.

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Section: Methodsmentioning

confidence: 99%

Perceived Interior Space of Motor Vehicles based on Illusory Design Elements

et al. 2014

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“…The author simplifies the Kansei words via group discussion and merges these words based on their similarity. The evaluation grids of all the interviewees are summarized and the evaluation grid diagrams of all the interviewers are concluded, as shown in Figure 1 [29,30].…”

Section: The Evaluation Analysis Stagementioning

confidence: 99%

“…The consumer demand with the same quality category has the same adjustment coefficient; for example, in the case study, the "simple and modern," "graceful and smooth," "fashionable and novel," "special and cool," "science and technology," and "light and exquisite" quality categories belong to the "attractive" C-FKM category. According to the adjustment coefficient (K) set by Chen [30], all adjustment coefficients are 4, which ignores the difference of the satisfaction coefficient between the consumer demand items with the same quality attributes [14]. In this study, the EI value of the C-FKM model multiplied by the weight value (Adjusted2) is applied to determine the priority of Kansei images.…”

Section: Using the C-fkm And Fahp To Investigate The Priority Ofmentioning

confidence: 99%

Continuous Fuzzy Kano Model and Fuzzy AHP Model for Aesthetic Product Design: Case Study of an Electric Scooter

2018

Mathematical Problems in Engineering

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The fuzzy Kano model (FKM) adopts a linear scoring system that cannot accurately reflect the relationship between users' needs and satisfaction and may underestimate the importance of users' evaluation and needs. In this paper, we propose a preference-based evaluation-fuzzy-quantification method to determine the priority of the development of attractive factors of an electric scooter. In the evaluation analysis stage, the evaluation grid diagrams of all the interviewees are systemized. In the fuzzy computing stage, the continuous fuzzy Kano model (C-FKM) combined with the fuzzy analytic hierarchy process (FAHP) is developed to determine the priority of the development of attractive factors. By processing the ambiguity of users' needs, the C-FKM can obtain a more accurate representation of users' needs than the FKM. The opinions of 20 experts are integrated using the similarity aggregation method (SAM); then the FAHP is applied to calculate the weight of each evaluation criterion. Lastly, we use quantitative analysis to discover the important and specific characteristics that influence the attractiveness of an electric scooter. Research shows that Kansei images with attractive qualities are reliable and may be the first choice for satisfying the perceptual demands of consumers and can provide reference for the related research.

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“…For decades, KE has been applied successfully in product design to explore the relationship between consumers' affective preferences and product design elements (Bahn et al, 2009;Hong et al, 2008;Lai et al, 2005;Lin & Wei, 2014;Nagamachi, 2002;Shen, Chen, Liang, Pu, & Ma, 2015). For example, Hsiao and Liu (2002) used the Kansei methodology to construct a three-dimensional model to help product designers quickly obtain the product form of a computer monitor.…”

Section: Kementioning

confidence: 99%

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

Lin

Wei

2016

Hum Ftrs & Erg Mfg Svc

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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.

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Measuring the functional and usable appeal of crossover B-Car interiors

Cited by 18 publications

References 20 publications

Perceived Interior Space of Motor Vehicles based on Illusory Design Elements

Perceived Interior Space of Motor Vehicles based on Illusory Design Elements

Continuous Fuzzy Kano Model and Fuzzy AHP Model for Aesthetic Product Design: Case Study of an Electric Scooter

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

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