Using HCA and TOPSIS approaches in personal digital assistant menu–icon interface design

Chen, Ming-Shi; Lin, Man; Wang, Chencheng; Chang, Chun-Ming

doi:10.1016/j.ergon.2009.01.010

Cited by 27 publications

(7 citation statements)

References 17 publications

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“…The findings of this study can be utilized as the basis for redesigning icons, particularly for icons related to COVID-19 prevention measures [ 48 ]. Furthermore, the approach can also be applied and extended for evaluating other medical icons [ 49 , 50 ], safety icons, disaster-related prevention icons [ 51 ], transportation-related icons [ 52 , 53 ], and even entertainment-related icons [ 54 , 55 , 56 , 57 , 58 ].…”

Section: Discussionmentioning

confidence: 99%

The Evaluation of Preference and Perceived Quality of Health Communication Icons Associated with COVID-19 Prevention Measures

et al. 2021

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Icons have been widely utilized to describe and promote COVID-19 prevention measures. The purpose of this study was to analyze the preference and subjective design features of 133 existing icons associated with COVID-19 prevention measures published by the health and medical organizations of different countries. The 133 icons represent nineteen different function names, such as “Wash Hands” and “Wear Face Mask”. A total of 57 participants were recruited to perform two different tests: ranking test and subjective rating test. The ranking test was conducted to elicit the preference ranking of seven icon designs representing each function name. It was followed by a subjective rating test using 13 semantic scales on the two most preferred icons to analyze their perceived quality. Spearmen correlation was applied to derive the possible correlations between users’ rankings and the semantic scales, and Friedman’s test was also performed to determine the true difference between ranking in terms of each semantic scale to provide a fully meaningful interpretation of the data. Generally, findings from the current study showed that the image presented in the icon is the key point that affects the icons’ perceived quality. Interestingly, Spearman’s correlation analysis between preference ranking and semantic scales showed that vague–clear, weak–strong, incompatible–compatible, and ineffective–effective were the four strongest semantic scales that highly correlated with the preference ranking. Considering the significant relationships between the semantic distances and the functions, images depicted in an icon should be realistic and as close as possible to its respected function to cater to users’ preferences. In addition, the results of Spearman’s correlation and Friedman’s test also inferred that compatibility and clarity of icon elements are the main factors determining a particular icon’s preferability. This study is the first comprehensive study to evaluate the icons associated with the COVID-19 prevention measures. The findings of this study can be utilized as the basis for redesigning icons, particularly for icons related to COVID-19 prevention measures. Furthermore, the approach can also be applied and extended for evaluating other medical icons.

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Section: Discussionmentioning

confidence: 99%

The Evaluation of Preference and Perceived Quality of Health Communication Icons Associated with COVID-19 Prevention Measures

et al. 2021

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“…Shidpour et al (2016), Ayag˘and Ö zdemir (2009) and Geng et al (2010) use 1;9 to assign values to the judgement matrix. Zhang et al (2017) and Chen (2009) use 1;5 to assign values to the judgement matrix. This article uses the covariance formula to calculate the correlation, so the two methods of assignment do not change the relative value.…”

Section: Scheme Design and Scheme Decision Makingmentioning

confidence: 99%

“…In the process of functional requirement implementation, the aforementioned studies considered the relationship between quantitative requirements, resulting in not fully considering the conflict of requirements between qualitative objectives. Currently, quality function deployment (QFD; Takai and Kalapurackal, 2012), analytic hierarchy process (AHP; Saaty, 1994), grey relational analysis (GRA; Kuo et al, 2008), technique for order preference based on similarity to ideal solution (TOPSIS; Hwang and Yoon, 1981) and Višekriterijumska Optimizacija i kompromisno Rešenje (VIKOR) (Chen et al, 2009) are the primary methods for analysis and optimization. The above methods are mainly used to deal with two problems: one is the weight value of the evaluation objectives and the other is the fuzzy and inaccurate problem of scheme evaluation data.…”

Section: Introductionmentioning

confidence: 99%

Conceptual design conceptual scheme optimization based on integrated design objectives

Jiang

Jing

Peng

et al. 2018

Concurrent Engineering

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In the early conceptual design process, a large number of conceptual schemes can be selected. However, existing studies primarily focused on mapping from the function to the principle solution and then evaluating the principle scheme. Currently, many concept selection methods are used for a small number of feasible schemes, thus not addressing a large number of initial conceptual schemes. As the scheme design is objective oriented, a reasonable design objective constraint should be considered when optimizing many schemes to avoid conflict between the conceptual scheme and the design objectives. This approach can quickly eliminate many unreasonable schemes produced by the principle of free combination. To address this problem, we propose a method for optimizing the conceptual design scheme based on integrated design objectives. First, the product design objectives and sub-objectives are obtained based on the functional requirements. A user requirement matrix is then created to cluster and analyse the sub-objectives. Second, a cooperative game model is created to coordinate sub-objective contradictions. Then, the game player and the strategy set are defined via secondary clustering, and the strategy utility is calculated to create a game utility matrix for each objective. Finally, the eigenfunction is analysed to obtain the strategy set satisfying the maximum requirement interest, which is applied in principle scheme optimization to quickly filter unreasonable schemes. The conceptual design of a transmission device is used as an example of the rapidly implemented optimization of the conceptual schemes.

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“…The HCT in this research used the furthest neighbor method, incorporating the Euclidean distance method in the Minkowski Metric approach to categorize the identified customer requirements. The furthest neighbor method (FNM) is expressed as [37][38][39]:…”

Section: Hct In Cr Categoriesmentioning

confidence: 99%

A Grey Relation Approach to the Integrated Process of QFD and QE

Chen

Lin

Tai

et al. 2011

Concurrent Engineering

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During the process of concurrent design, a designer must focus on meeting the changing requirements of customers and reacting to the rapid decrease of the life-cycle of the product in a dynamic market. However, the cost induced by the quality delinquent and aftermarket service is a critical factor in the enterprise profit. This research proposes a product design methodology that integrates the grey relation approach to quality function deployment (QFD) and quality engineering (QE) to solve the problem. It is noted that the process increases customer satisfaction and enhances product quality in response to global competition. Based on the results of systematic market research performed on customer requirements ( CRs), the hierarchical clustering technique and grey theory have been applied to identify, categorize, and evaluate CRs to rank their grey relational importance. The critical design characteristics ( DCs) have been identified using QFD, which applies the semantic differential method on the relationship matrix cell to evaluate their relationship with CRs. The selected DCs are then evaluated to determine noise and possible loss of quality using the orthogonal experiment of the Taguchi method. The objective of the optimization process is to integrate QFD and QE into the development process and to optimize the quality of product development. With support from a timer manufacturer, six existing products have been selected to demonstrate the applicability of the approach described above. This robust product design process provides encouraging evidence for a new approach that can improve quality, reduce variation, and increase customer satisfaction and enterprise profit.

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Using HCA and TOPSIS approaches in personal digital assistant menu–icon interface design

Cited by 27 publications

References 17 publications

The Evaluation of Preference and Perceived Quality of Health Communication Icons Associated with COVID-19 Prevention Measures

The Evaluation of Preference and Perceived Quality of Health Communication Icons Associated with COVID-19 Prevention Measures

Conceptual design conceptual scheme optimization based on integrated design objectives

A Grey Relation Approach to the Integrated Process of QFD and QE

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