6,133 research outputs found

    Aesthetic interaction consistency: exploring the foundation for static and dynamic aesthetics

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    Aesthetics is a powerful means for creating consistency across a product range. During the design process consistency is subject to risk. The existing tools do not integrate static as well as dynamic approaches. This paper explores how to integrate and combine both. The framework considers that, firstly, the users perceive the product thought all their senses (product presentation). Based on the perceptions, users will interact through gestures or movements (user action). These action will create a product reaction (product reaction). Finally, the frame has been applied in an experiment

    Implementation of Design Rules for Perception Into a Tool for Three-Dimensional Shape Generation Using a Shape Grammar and a Parametric Model

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    The user experience of a product is recognized as having an increasing importance in particular in consumer products. Current approaches to designing user experiences are not easily translated to languages that a computer can understand. This paper examines a particular aspect of user experience, namely perception of the aesthetics of a product, to formalize this to rules, which are embedded into a tool to generate design. Investigating the perception of consumers is key to designing for their aesthetic preferences. Previous research has shown that consumers and designers often perceive the same products differently. This paper aims to embed rules on perception into a tool to support designers during design synthesis. Aesthetic design rules connecting perceptions with aesthetic features were integrated into a set grammar and a parametric modeling tool, and applied to the particular case of vases. The generated tool targeted the creation of vases with the perception of beautiful, elegant, and exciting. Results show that it is possible to generate beautiful, elegant, and exciting vases following the three aesthetic design rules, i.e., tall, simple, and curvy. The main contribution of this paper is the method used to incorporate information on perception into the set grammar and the parametric model. The tool is additionally proposed for supporting designers during design synthesis of shapes. The results are valid for vases but the method can be applied to other perceptions and product categories

    Analisis cara kerja bahasa pada konsep facelift Avanza-Xenia melalui pendekatan struktur visual

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    In the context of design diversification, exploring forms to optimize product operations is no longer sufficient. One of the goals of design diversification is to emphasize meaning that goes beyond just the function of a product. This provides an understanding of how the product communicates with users. Design development aims at how design can communicate and persuade. Therefore, communication is related to the language system. This paper aims to analyze how the language system works which applies equally to product design. In this context, the product acts as text. The product sample selected in this study is the second-generation Avanza-Xenia car based on the consideration that the car is one of the cars that has a facelift concept with many variants. The study uses a visual structure approach. The analysis is carried out by extracting the structural elements of the car into the main elements and supporting elements, then matching them to the text structure. The results of the study show that providing multiple design variants on supporting elements of the car is the same as using alternative words to emphasize meanin

    Synthesis of aesthetics for ship design

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    In the search for consensus on a definition of beauty, fitting the task of appreciating a ship’s design, this research revealed that other components of visual appraisal and 3d pattern analysis are required for a systemic approach. The model process presented is built around local adaptation and Gestalt psychology and uses retrospective case studies to categorise and calculate proportions, and recognisable patterns. The number of results from each type of vessel were found to be different, due to each ship or boats various geometries and anatomy, which illuminated the importance of standardising a procedure of categorisation in the appreciative approach.The categorisation of functions around the philosophy of functional beauty and the maths of summation series, it is suggested here, will allow a library of algebraic patterns and parameters to penetrate further into the impending or emulated integrated systems of ship design. The process to derive physical parameters via the culturally focussed narrative of functional beauty, is deemed as a manageable and novel addition to the naval architect's role. However, for the results to have a decisive impact on commercial design or education, variance and validation through further case studies is required

    Preference Modeling in Data-Driven Product Design: Application in Visual Aesthetics

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    Creating a form that is attractive to the intended market audience is one of the greatest challenges in product development given the subjective nature of preference and heterogeneous market segments with potentially different product preferences. Accordingly, product designers use a variety of qualitative and quantitative research tools to assess product preferences across market segments, such as design theme clinics, focus groups, customer surveys, and design reviews; however, these tools are still limited due to their dependence on subjective judgment, and being time and resource intensive. In this dissertation, we focus on a key research question: how can we understand and predict more reliably the preference for a future product in heterogeneous markets, so that this understanding can inform designers' decision-making? We present a number of data-driven approaches to model product preference. Instead of depending on any subjective judgment from human, the proposed preference models investigate the mathematical patterns behind users’ choice and behavior. This allows a more objective translation of customers' perception and preference into analytical relations that can inform design decision-making. Moreover, these models are scalable in that they have the capacity to analyze large-scale data and model customer heterogeneity accurately across market segments. In particular, we use feature representation as an intermediate step in our preference model, so that we can not only increase the predictive accuracy of the model but also capture in-depth insight into customers' preference. We tested our data-driven approaches with applications in visual aesthetics preference. Our results show that the proposed approaches can obtain an objective measurement of aesthetic perception and preference for a given market segment. This measurement enables designers to reliably evaluate and predict the aesthetic appeal of their designs. We also quantify the relative importance of aesthetic attributes when both aesthetic attributes and functional attributes are considered by customers. This quantification has great utility in helping product designers and executives in design reviews and selection of designs. Moreover, we visualize the possible factors affecting customers' perception of product aesthetics and how these factors differ across different market segments. Those visualizations are incredibly important to designers as they relate physical design details to psychological customer reactions. The main contribution of this dissertation is to present purely data-driven approaches that enable designers to quantify and interpret more reliably the product preference. Methodological contributions include using modern probabilistic approaches and feature learning algorithms to quantitatively model the design process involving product aesthetics. These novel approaches can not only increase the predictive accuracy but also capture insights to inform design decision-making.PHDDesign ScienceUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttps://deepblue.lib.umich.edu/bitstream/2027.42/145987/1/yanxinp_1.pd

    Boat design deriving from ethnographic study: a transdisciplinary approach to Malaysian fishing boat design.

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    The goal of the project is to further the positivist discourse of design by ascertaining whether ethnographic analysis contributes to the design process. To this end, the project provides 1) a culturally appropriate conceptual fishing boat design and 2) an industrial design case study. This project identifies mechanistic and non-mechanistic design elements and presents the results of thematic analysis. This project develops a 40 GRT (gross register ton), Malaysian Class B fishing boat design based primarily upon ethnographic study of stakeholders, which includes fishermen, boat builders, designers and owners. The design concept is evaluated by fishermen regarding perceived performance as a fishing boat, aesthetics, safety, and comfort. The concept boat is compared with the visual stereotype of a traditional Malaysian fishing boat and a Western style, deck forward design. The conceptual design is evaluated with a creative product analysis matrix (CPAM) followed by a questionnaire based evaluation by fishermen. This project is intended for students and practitioners of industrial design interested in culturally appropriate design. It provides insights into design methodology and ethnographic methods for developing an understanding of indigenous design sensitivities of a client or end user. This study provides an example of product development that integrates the designer’s creativity with the stakeholders’ requirements and material culture. This project also demonstrates the technique of superimposing photographs via computer aided design (CAD) drawings to develop a visual stereotype. Moreover, this project demonstrates the benefit of employing visual models in charcoal and clay in ethnographic fieldwork

    KEER2022

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    AvanttĂ­tol: KEER2022. DiversitiesDescripciĂł del recurs: 25 juliol 202

    The use of images and descriptive words for the development of an image database for product designers

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    This research aims to understand the role images currently play within the design process, in order to develop a classification of image types and reference keywords to construct an electronic image database for professional use in product design. Images play an important role in the design process, both in defining the context for designs and in informing the creation of individual design. They are also used to communicate with clients, to understand consumers, to assist in expressing the themes of the project, to understand the related environments, or to search for inspiration or functional solutions. Designers usually have their own collections of images, however for each project they still spend a significant amount of time searching images, either looking within their own collection or searching for new images. This study is based on the assumption that there is a structure that can show the relationship between the image itself and the information it conveys and can be used to develop the database. A product-image database will enable designers to consult images more easily and this will also facilitate communication of visual ideas among designers or between designers and their clients, thus augmenting its potential value in the professional design process. Also, the value of an image may be enhanced by applying its linguistic associations through descriptions and keywords which identify and interpret its content. Through a series of interviews, workshops, and understanding relevant issues, such as design method, linguistic theory, perception psychology and so on, a prototype database system was developed. It was developed based on three information divisions: SPECIFICATION, CHARACTERISTIC, and EMOTION. The three divisions construct a model of the information which an image conveys. The database prototype was tested and evaluated by groups of students and professional designers. The results showed that users understand the concept and working of the database and appreciated its value. They also indicated that the CHARACTERISTIC division was most valuable as it allows users to record images through their recollection of feelings
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