A multi-objective genetic algorithm approach to rule mining for affective product design

A novel multi-objective genetic algorithm (GA)-based rule-mining method for affective product design is proposed to discover a set of rules relating design attributes with customer evaluation based on survey data. The proposed method can generate approximate rules to consider the ambiguity of customer assessments. The generated rules can be used to determine the lower and upper limits of the affective effect of design patterns. For a rule-mining problem, the proposed multi-objective GA approach could simultaneously consider the accuracy, comprehensibility, and definability of approximate rules. In addition, the proposed approach can deal with categorical attributes and quantitative attributes, and determine the interval of quantitative attributes. Categorical and quantitative attributes in affective product design should be considered because they are commonly used to define the design profile of a product. In this paper, a two-stage rule-mining approach is proposed to generate rules with a simple chromosome design in the first stage of rule mining. In the second stage of rule mining, entire rule sets are refined to determine solutions considering rule interaction. A case study on mobile phones is used to demonstrate and validate the performance of the proposed rule-mining method. The method can discover rule sets with good support and coverage rates from the survey data.     

Coding,evaluation and optimal selection of a mechatronic system

This paper presents Multi Attribute Decision Making (MADM) based methodology for evaluation and selection of a mechatronic system. An exhaustive list of attributes which influence the structure and performance of a mechatronic system are identified. An attribute based coding scheme for identification and differentiation of mechatronic systems is developed.A three stage selection procedure is proposed for optimal selection of a mechatronic system. In the first stage, large numbers of available mechatronic systems are converged to a manageable number using elimination search. Second stage, a matrix for storing all the information pertaining to a mechatronic system alternative is proposed. In the third stage, all the mechatronic systems are ranked according the Euclidian distance of mechatronic system from best possible and worst solutions. Two visual methods namely linear graph and spider chart are proposed for ranking of mechatronic systems. An illustrative example explaining the implementation procedure of proposed methodology is discussed at the end.This methodology is useful for industries in selection of a mechatronic system and also useful for any customer in selection of an optimal mechatronic product.     

Incorporating affective customer needs for luxuriousness into product design attributes

In a highly competitive market, customers' product affection is a critical factor to product success. However, understanding customers' affective needs is difficult to grasp; product design practitioners often misunderstand what customers really want. In this study we report our experience in developing and using an affective design framework that identified critical affective features customers have on products and are systematically incorporated into product design attributes. To identify key affective features such as luxuriousness, we utilized the Kansei engineering methodology. This approach consists of three steps: (1) selecting related affective features and product design attributes through a comprehensive literature survey, expert panel opinion, and focus group interviews; (2) conducting evaluation experiments; and (3) developing Kansei models using multivariate statistical analysis and analyzing critical product design attributes. To demonstrate applicability of the proposed affective design framework, 30 customers and 30 product design practitioners participated in an evaluation experiment for car crash pads, and 44 customers and 20 designers participated in an evaluation experiment for two interior room products (wallpapers and flooring materials). The evaluation experiments were conducted via systematically developed questionnaires consisting of a 7‐point semantic differential scale and a 100‐point magnitude estimation scale. The results of the experiments were analyzed using principal component regression and quantification theory type I method. Using the analyzed survey data, the relationship between luxuriousness and related affective features and product design attributes were identified. This relationship indicated that there was a significant difference in the perception of luxuriousness between customers and designers. Consequently, it is expected that the results of this study could provide a foundation for developing affective products. © 2009 Wiley Periodicals, Inc.     

Generation,Adoption, and Tuning of Usability Evaluation Multimethods

The selection and customization of usability evaluation methods, given the peculiarities of their application domains, still remains a critical issue; this especially when dealing with complex products and/or nonexpert usability evaluators. Moreover, as time goes by, the quality of the evaluation results has a heavier impact on the product design process. Starting from classic usability evaluation methods, the research described in this article generates multimethods semiautomatically. It allows quantitative characterization of these multimethods before their application in the field and exploits the comparison between this prior assessment and a final estimate, made after adoption, to update the information used by the method selection process. The most critical issue related to usability, subjectivity, is considered and dealt with throughout the entire research. A case study, done at the end of the development phase, helps validate the proposed approach to usability evaluation.     

The importance of usability in product choice: A mobile phone case study

Usability has become established as an important aspect of product design. This paper describes an investigation that was carried out to identify the importance of usability in product choice related to other product attributes. Interviews were initially carried out to identify possible attributes that contribute to product choice. Experiments were then undertaken using the methods of active information search, structured preference elicitation, ranking and interviews in order to find out what attributes were important to people when choosing an example product – mobile phones. It was found that usability is indeed important in product choice but perhaps not as much as users themselves believe. Other attributes that were found to be more important were features, aesthetics and cost. The process of product choice was found to be complex and it may be the case that people have come to expect usability in their products. Further research is needed to understand more fully the changing role of usability in product choice and to further improve the quality of the user–product relationship.     

A heuristic for software evaluation and selection

The proliferation of software packages has created a difficult, complex problem of evaluation and selection for many users. Traditional approaches to the quantification of package performance have relied on compensatory models, such as the linear weighted attribute model, which sums the weighted ratings of software attributes. These approaches define the dimensions of quality too narrowly and, therefore, omit substantial amounts of information from consideration. This paper presents an alternative methodology, previously used in capital rationing and tournament ranking, that expands the opportunity for objective insight into software quality. In particular, it considers three measures of quality, the frequency with which the attribute ratings of one package exceed those of another, the presence of outliers, where very poor performance may exist on a single attribute and be glossed over by compensatory methods, and the cumulative magnitude of attribute ratings on one package that exceed those on others. The proposed methodology is applied to the evaluation of the following software types: word processing, database management systems, spreadsheet/financial planning, integrated software, graphics, data communications and project management.     

Kano’s model in Kansei Engineering to evaluate subjective real estate consumer preferences

Kansei Engineering is a product development tool used to identify users’ perceptions and find quantitative relationships between their subjective responses and design features. This paper proposes the use of Kano’s model in this process to analyse the impact of different subjective attributes on consumers’ purchase decisions. A practical example of real estate promotions design is presented. In the first stage, semantic differential is used to measure the subjective component of the emotional state. In the second stage, regression analysis and Kano’s model are used to define the relative weight of each emotional attribute in the purchase decision. Besides linear attributes, Kano’s model identified two other kinds of attributes that present a non-linear performance: basic attributes and exciting attributes. Therefore linear models could underestimate the effect of such kind of attributes.

Relevance to industry

This information is very relevant for architects and designers as it enables them to determine the extent to which they must direct their efforts at improving certain attributes with the object of improving the global evaluation.     

The scenario‐based usability checklist development for home appliance design: A case study

In the past decade, home appliances have been rapidly developed to satisfy the various requirements of users. Thus, there are increases in requirements to explore appropriate evaluation methods that reflect the usability of home appliances quickly and comprehensively. This study aims to develop a scenario‐based usability checklist for product designers early in the design process. In this study, the scenario‐based usability checklist consists of two parts: 1) a heuristic evaluation checklist, and 2) a scenario evaluation checklist. In heuristic evaluation checklist development, usability factors of home appliances are extracted and then coupled to user interface (UI) elements. In scenario evaluation checklist development, scenarios are developed through brainstorming by focus group interview (FGI), and then evaluation elements are extracted from previous scenarios analysis. The proposed scenario‐based usability checklists can enable designers to evaluate product design quickly and comprehensively early in the development process with users' viewpoints. © 2010 Wiley Periodicals, Inc.     

A usability evaluation toolkit for In-Vehicle Information Systems (IVISs)

Usability must be defined specifically for the context of use of the particular system under investigation. This specific context of use should also be used to guide the definition of specific usability criteria and the selection of appropriate evaluation methods. There are four principles which can guide the selection of evaluation methods, relating to the information required in the evaluation, the stage at which to apply methods, the resources required and the people involved in the evaluation. This paper presents a framework for the evaluation of usability in the context of In-Vehicle Information Systems (IVISs). This framework guides designers through defining usability criteria for an evaluation, selecting appropriate evaluation methods and applying those methods. These stages form an iterative process of design–evaluation–redesign with the overall aim of improving the usability of IVISs and enhancing the driving experience, without compromising the safety of the driver.     

An alternative multiple attribute decision making methodology for solving optimal facility layout design selection problems

In the present work, a systematic and an alternative multiple attribute decision making methodology is presented for selection of facility layout design selection problems. The proposed methodology is based on Preference selection index (PSI) method. In the proposed methodology appropriate facility layout design is selected for a given application without considering relative importance between facility layout design selection attributes. Two different types of facility layout design selection problems are examined to demonstrate, validate, and to check the reliability of proposed methodology. In addition, subjective cost benefit analysis is performed to study the benefits to cost to the company. Finally, the study has concluded that the facility layout design selection methodology based on PSI method is simple, logical, and more appropriate for solving the facility layout design selection problems.     

Affective judgment in creative design: A method of fitness evaluation to the problem/solution spaces

A method of fitness evaluation to the problem/solution spaces is proposed based on the affective judgment in creative design. Six experienced designers and one-hundred-one users participated in a set of exploratory experiments on affective judgement of automobile design. From the experimental data, we identify the differences in designer's affective appeal in a design and user's affective response to the design. From data analysis, we confirm the general validity of that the ‘creative’ aspect of design can be described by introducing the notions of ‘default’ and ‘surprise’ problem/solution spaces. The affective judgments based on the expectations of designers and users are shown to be an effective alternative to quantitative metrics in design evaluation and concept selection. The presented findings suggested that the success and creativity are not the same, the goal of design practice is to find solutions that are both creative and successful.     

A rough set-based interval-valued intuitionistic fuzzy conceptual design decision approach with considering diverse customer preference distribution

Conceptual design evaluation plays a crucial role in new product development (NPD) and determines the quality of downstream design activities. Currently, most existing methods focus on fuzzy quantitative the evaluation information of multi-objectives in conceptual schemes selection. However, the above process ignores the various customers' preferences for each scheme under the evaluation objective, causing inconsistent preference weights in the various schemes, which cannot guarantee the market value of the optimal scheme. Furthermore, the ambiguous attitude from experts in the early design stage is not well taken into account. To this end, a conceptual scheme decision model with considering diverse customer preference distribution based on interval-valued intuitionistic fuzzy set (IVIFS) is proposed. The model is divided into three parts. Firstly, the initial decision matrix of multi-experts concerning the qualitative and quantitative design attributes is constructed based on intuitionistic fuzzy sets, and then the IFS decision matrix with interval boundaries is formed by using rough set technology. Secondly, the mapping model of design attribute to customer preference is constructed, and then the demand preference strategy implied by design attribute is judged. Thirdly, based on the demand preference strategy, the preferences’ weights for each scheme are calculated. Next, integrating the evaluation data with the same preference in the scheme, the comprehensive satisfaction of the scheme is obtained through IVIFS weighted aggregation operator, and then the optimal scheme is decided. Eventually, a case study of mobile phone form feature schemes is further employed to verify the proposed decision model, and results are sensitivity analyzed and compared.     

An investigation into affective design using sorting technique and Kohonen self-organising map

In this paper, a prototype system that focuses on affective design perspective for iterative product concept development is proposed and described. The prototype system, which emphasises the solicitation of affective attributes from customers, employs a sorting technique, i.e. picture sorts, for acquiring customer's affective requirements and a hierarchical structure for representing designer's formal elements to meet customer's affective requirements in product conceptualisation. As hierarchical structure alone contains qualitative and uncertain inherence, a self-organised algorithm known as Kohonen self-organising map (SOM) neural network is employed to consolidate the relationship between affective requirements from customers and formal elements from designers so as to formulate a customer-oriented product concept. The performance of the prototype system is illustrated by using a case study on the design of a mobile hand phone.     

A product configuration analysis method for emotional design using a personal construct theory

Identifying emotion-related product attributes (perceived by consumers) is no easy task in the realm of emotional design. Conventionally, this process relies heavily on the researchers who conduct the Kansei experiments selecting product attributes such as color, form, and texture for Kansei studies. However, in so doing, other product attributes that also play a vital role in product-emotion associations might be neglected by the researchers. More importantly, the identification of product attributes should be based on consumer's point of view (and feelings). Accordingly, a personal construct theory based product configuration analysis method is proposed in this work. The method develops the customer's mind map for each Kansei tag in order to capture replications of candidate products. A means-value chain is used to generate targets which are later compared with candidate products by consumers. The comparison results could suggest product attributes that are relevant to the desired Kansei. The proposed approach is presented and illustrated using a case study of Graffiti designs on notebooks. Results obtained are discussed. It appears that the proposed method is promising in identifying product attributes with desired Kansei impacts.     

Benchmarking attribute selection techniques for discrete class data mining

Data engineering is generally considered to be a central issue in the development of data mining applications. The success of many learning schemes, in their attempts to construct models of data, hinges on the reliable identification of a small set of highly predictive attributes. The inclusion of irrelevant, redundant, and noisy attributes in the model building process phase can result in poor predictive performance and increased computation. Attribute selection generally involves a combination of search and attribute utility estimation plus evaluation with respect to specific learning schemes. This leads to a large number of possible permutations and has led to a situation where very few benchmark studies have been conducted. This paper presents a benchmark comparison of several attribute selection methods for supervised classification. All the methods produce an attribute ranking, a useful devise for isolating the individual merit of an attribute. Attribute selection is achieved by cross-validating the attribute rankings with respect to a classification learner to find the best attributes. Results are reported for a selection of standard data sets and two diverse learning schemes C4.5 and naive Bayes.     

产品智能化设计中进行结构设计的方法

提出了联合采用聚类分析、模糊识别、基于实例的推理进行产品结构设计的方法,基本思想如下:①任一“产品超类”都可以按照“产品-部件-零件”的层次进行划分,由此建立一棵“树”。②一个“产品类”拥有许多以“参数”表达的技术属性。采用聚类的方法,可以把每个属性映射到“树”的某个结点,构成该结点的属性集,然后基于这个属性集、利用已有的产品实例建立一个对应于该结点的模糊模型。③采用模糊识别的方法,按照“树”的拓扑结构对当前待求的设计问题进行识别,实现产品在概念设计阶段的结构设计。④采用CBR方法,实现详细设计阶段的结构设计。本文方法适用于大多数机电产品的智能化设计。     

Integrating usability requirements that can be evaluated in design time into Model Driven Engineering of Web Information Systems

In recent years, Web Engineering development projects have grown increasingly complex for and critical to the smooth running of organizations. However, recent studies reveal that a high percentage of these projects fail to attain the quality parameters required by stakeholders. The inadequate consideration of requirements management activities together with the absence of attention to the elicitation and evaluation of requirements and metrics related to certain quality attributes which are of special importance in this kind of systems, such as usability, have proved to be some of the main causes of this failure. This paper attempts to reduce some of the quality failures detected in Web Engineering development projects by proposing the consideration and evaluation of quality attributes from early stages of the development process. The presented approach therefore commences with a reinforcement of the requirements related activities in this discipline, which is carried out by using a requirements metamodel. Once these requirements have been identified, the approach focuses on the extension of the conceptual models used by Web Engineering methodologies with the aim of allowing the explicit consideration of usability requirements along with the evaluation of quality metrics during the design of the system. An example of an application illustrating how the approach can be used, along with the automatic support which was developed for it, are also shown.     

具有随机变量形式属性值的突发事件应急方案选择方法*

突发事件应急响应面临多个可能状态的应急方案选择问题,是一个值得探讨且具有实际价值的研究课题。本文针对具有随机变量形式属性值的突发事件应急方案选择问题,给出一种应急方案选择方法。首先,针对属性值为随机变量形式的各个属性,构建在各状态下针对每个属性的占优矩阵;其次,构建针对各属性的优势度矩阵,并将其规范化得到规范化优势度矩阵;然后,针对属性值为数值型的各个属性,构建针对各属性的规范化决策矩阵;进一步地,将规范化优势度矩阵和规范化决策矩阵进行集结,构建综合决策矩阵,在此基础上计算出各备选应急方案的综合评价值,并依据综合评价值的大小来确定突发事件应急响应的应急方案;最后,通过一个算例说明了提出方法的可用性。     

Analysis of quality standards for industrial collaborative robots based on user-centered design framework

Industrial collaborative robots have become increasingly important in recent years due to their ability to work safely and efficiently alongside humans. As a result, there is a growing need for evaluation standards to ensure the quality of collaborative robots. However, existing studies only consider system-centered and technical aspects of collaborative robots, and there is a lack of research on user-centered quality evaluation. In this study, we identified 21 user requirements based on a user-centered design framework and confirmed the limitations of existing quality standards by reviewing the standard clauses for collaborative robots. It was found that user needs to be related to performance, safety, and even usability and enjoyment are already being expressed according to the user-centered design framework, but the quality standards for these needs only present design principles or do not consider them at all. This study provides information on the quality attributes that need to be fulfilled to satisfy user requirements and suggests the need and direction for further research on the user-centered evaluation of collaborative robots. Accordingly, the user's perception and experience of collaborative robots are expected to improve.