A fuzzy integral based methodology to elicit semantic spaces in usability tests

Camargo, Mauricio; Wendling, Laurent; Bonjour, Éric

doi:10.1016/j.ergon.2013.08.007

Cited by 21 publications

(25 citation statements)

References 38 publications

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“…Therefore, the final solution with the posterior preference articulation approach can reflect the decisionmaker's preference more accurately [40]. Furthermore, this design method is particularly useful in cases where the user has no prior knowledge through which to ascertain the preference weights for MARs [41].…”

Section: Discussionmentioning

confidence: 99%

Product Form Design Model Based on Multiobjective Optimization and Multicriteria Decision‐Making

Shieh

Yang

2017

Mathematical Problems in Engineering

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Affective responses concern customers’ affective needs and have received increasing attention in consumer-focused research. To design a product that appeals to consumers, designers should consider multiple affective responses (MARs). Designing products capable of satisfying MARs falls into the category of multiobjective optimization (MOO). However, when exploring optimal product form design, most relevant studies have transformed multiple objectives into a single objective, which limits their usefulness to designers and consumers. To optimize product form design for MARs, this paper proposes an integrated model based on MOO and multicriteria decision-making (MCDM). First, design analysis is applied to identify design variables and MARs; quantification theory type I is then employed to build the relationship models between them; on the basis of these models, an MOO model for optimization of product form design is constructed. Next, we use nondominated sorting genetic algorithm-II (NSGA-II) as a multiobjective evolutionary algorithm (MOEA) to solve the MOO model and thereby derive Pareto optimal solutions. Finally, we adopt the fuzzy analytic hierarchy process (FAHP) to obtain the optimal design from the Pareto solutions. A case study of car form design is conducted to demonstrate the proposed approach. The results suggest that this approach is feasible and effective in obtaining optimal designs and can provide great insight for product form design.

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Section: Discussionmentioning

confidence: 99%

Product Form Design Model Based on Multiobjective Optimization and Multicriteria Decision‐Making

Shieh

Yang

2017

Mathematical Problems in Engineering

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“…However, in a domain where historical users' data are available, it can be used to construct the first Bayesian network and take advantage of the accuracy proposed by the Luo et al (2011) method to start the first phase of testing. We also want to make explicit the relationships among the different factors as in the proposal of Camargo et al (2014). We also provide a way to estimate the effects of changes in those relationships allowing the design team to analyze different scenarios of action before putting them into practice.…”

Section: Discussionmentioning

confidence: 99%

“…In the scientific literature several methods for acceptability evaluation have been proposed. Some of the approaches deal with the use of subjective and even unconscious feelings, about a product, to be translated into concrete product attributes (Luo et al, 2011;Camargo et al, 2014). The latter proposed an approach to integrate user's perception and identify the importance and interaction of semantic attributes, thus allowing designers to validate and adjust product concepts.…”

Section: Introductionmentioning

confidence: 99%

An acceptability estimation and analysis methodology based on Bayesian networks

Garces

Rakotondranaivo

Bonjour

2016

International Journal of Industrial Ergonomics

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As companies are forced to conceive innovative products to stay competitive, designers face the challenge of developing products more suited to users' needs and perceptions in order to be accepted, thus reducing project risk failure. Evaluating users' acceptability has become an important research problem. Current approaches leave the acceptance evaluation question to be answered in the last stages of product development process (NPD), when an almost finished prototype is available and when there is no time left for important modifications. Acceptability evaluation methods suitable for use from the early stages of the NPD process are thus needed. This paper proposes a method for acceptability evaluation and analysis that can be used in the early stages of the development cycle. It is based on the evaluation of the solution concept by the users. The relationships among the factors (or criteria) are made explicit, thus helping designers to identify the key factors for acceptance. As the users' tests and the maturity of the concept prototype are limited in this stage, the proposed method exploits the inference properties of Bayesian networks making it possible to make useful estimations and allowing the exploration of actions that could improve the product acceptability level. Two case studies are presented in order to illustrate the method, the first related to a technological product design for a home-health care service provider and the second to a work-related musculoskeletal disorder prevention software design. Relevance to industry: The article describes an acceptability assessment and an analysis approach to be used by industrial engineers, designers and ergonomists in the early phases of design projects. The method can help the design team to identify the levers (key factors) for enhancing product acceptance and to identify different actions (e.g. product modification, deployment strategy, and training).

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“…Existen algunos modelos desarrollados para evaluar la usabilidad (J Nielsen, 1994a, Holzinger, 2005, Bradford, 1994, Camargo, Wendling, & Bonjour, 2014, Macleod & Rengger, 1993. No obstante, estos modelos se diseñaron para evaluar software de propósito general.…”

Section: Heurística Ponderada Para Evaluación De Softwareunclassified

Evaluación heurística de la usabilidad de software para facilitar el uso del computador a personas en situación de discapacidad motriz

Alvarez

Jaramillo

Builes

2017

reveia

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Existen enfermedades que dificultan el uso de herramientas computacionales de manera eficiente. Por esto, algunas entidades y centros de investigación desarrollan aplicaciones de software para facilitar el acceso al uso de los computadores a las personas que padecen alguna enfermedad que altera de manera significativa su motricidad. Para garantizar que el producto de software cumpla las funciones para las que se diseñó, se le realizan algunas pruebas. Una de ellas es la evaluación de usabilidad del software que, a menudo, se realiza de forma empírica. En este artículo se propone un método con enfoque heurístico para evaluar la usabilidad de software diseñado para facilitar el acceso a la computación a personas con discapacidad motriz. A menudo, en temas de usabilidad, un experto que no conoce las necesidades específicas de las personas lanza juicios acerca de lineamientos en el desarrollo del software. Esta investigación toma importancia porque tiene en cuenta las medidas de pesos que asignan los usuarios finales de este tipo de aplicaciones de software.

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A fuzzy integral based methodology to elicit semantic spaces in usability tests

Cited by 21 publications

References 38 publications

Product Form Design Model Based on Multiobjective Optimization and Multicriteria Decision‐Making

Product Form Design Model Based on Multiobjective Optimization and Multicriteria Decision‐Making

An acceptability estimation and analysis methodology based on Bayesian networks

Evaluación heurística de la usabilidad de software para facilitar el uso del computador a personas en situación de discapacidad motriz

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