Research on interface design based on user's mental model driven by interactive genetic algorithm

Wei, Zhen; Nie, Jinghuan

doi:10.1504/ijbic.2021.10035838

Cited by 3 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The weight analysis of the evaluation index includes five steps [42]: designing the questionnaire and survey, establishing the judgment matrix, calculating the eigenvalues and their eigenvectors, consistency checking and the weight calculation of the index fused with group decision.…”

Section: Weight Analysis Of Evaluation Indexmentioning

confidence: 99%

Usability Evaluation of in-Vehicle AR-HUD Interface Applying AHP-GRA

Cheng

Zhong

Yang

et al. 2022

Hum-Cent Intell Syst

View full text Add to dashboard Cite

Usability is regarded to be a fundamental requirement for in-vehicle HMIs, and usability evaluation reflects the impact of the interface and the acceptance from the users. This study introduced a usability evaluation model of AR-HUD interface by applying grey analytic hierarchy process (AHP). First, based on the ameliorated PSSUQ (Post-Study System Usability Questionnaire), the usability evaluation system was modified and optimized according to the characteristics of AR-HUD. On this basis, the preference weights for evaluation indexes were calculated by AHP and the idea of group decision. Finally, the criteria of usability were integrated into grey relational degree by applying grey relational analysis (GRA) to obtain optimal design. A case study was conducted to demonstrate the applicability of the developed model to the usability evaluation of AR-HUD interface design. According to the existing AR-HUD interface design, 7 dimensions of design elements (A-G) and 18 interface prototypes (S1-S18) were selected by Taguchi orthogonal array test (TOAT). As the results indicated, the grey relational degree of S5 was 0.923, signifying that it was the optimal sample; and the results were also compared with entropy-TOPSIS to verify the feasibility of the proposed method. The grey-based AHP evaluation model can be used to evaluate the usability level of AR-HUD interface effectively, which may help designers achieve insights for design process and samples decision-making.

show abstract

Section: Weight Analysis Of Evaluation Indexmentioning

confidence: 99%

Usability Evaluation of in-Vehicle AR-HUD Interface Applying AHP-GRA

Cheng

Zhong

Yang

et al. 2022

Hum-Cent Intell Syst

View full text Add to dashboard Cite

show abstract

“…Therefore, the following three suggestions are put forward to improve the color fusion of Shikumen cultural block by using plants, buildings and pavement (Figure 11). [25][26][27]…”

Section: Design Conception Of Color Fusion Of Historic and Cultural B...mentioning

confidence: 99%

Research on color fusion model of historic and cultural blocks in Shanghai based on deep learning algorithm‐take Tianzifang as an example

Wei

Nie

2022

Concurrency and Computation

Self Cite

View full text Add to dashboard Cite

Color fusion is an extremely important part in the reconstruction design of historic and cultural blocks in the process of China's urban historic and cultural blocks transformation. Based on the deep learning algorithm, this paper constructs the color analysis model of cultural blocks, uses the multiscale feature semantic segmentation algorithm analysis technology of dual channel fusion for color research, extracts and analyzes the color of historic and cultural blocks, thus establishes its color fusion model, analyzes the color defects of Tianzifang historic and cultural scenic spot, and proposes to use plants, buildings and pavements to improve the color fusion degree of Shikumen cultural blocks. K E Y W O R D Sarchitectural color protection, deep learning algorithm, historic and cultural blocks, multiscale feature semantic segmentation THE PRESENT SITUATION OF COLOR COMPOSITION OF HISTORIC AND CULTURAL BLOCKS IN SHANGHAI The importance of color in historic and cultural blocksThe emergence of new materials and technologies has impacted the original construction mode and urban texture of historic and cultural blocks.The architectural color of historic and cultural blocks is an important and relatively stable historic product under the natural conditions and cultural traditions in a specific region. It most directly reflects the characteristics of the blocks that are different from the landscape of other regions. It is an indispensable element in the protection of historic and cultural blocks. The blind worship of international architectural style makes people lose the original cultural memory of the city, lose control over the color style and order, and gradually fall into a loss. Although people have realized the importance of color elements in the protection of historic and cultural blocks to a certain extent, due to the lack of standardized and scientific method guidance, the protectors do not know how to scientifically investigate and study the color of block buildings and make feature extraction, and do not know how to reasonably formulate color protection measures. Therefore, to clarify the architectural color is to grasp the keynote of the historic and cultural blocks. The analysis and study of architectural color will help to provide scientific guiding methods and theoretical basis for the protection of historic and cultural blocks. Color elements of historic and cultural blocksAccording to the many factors that affect the landscape color style in the historic and cultural blocks, the vertical elements of the landscape color style are divided into six parts: building body, landscape greening, pavement, public facilities, plaque advertising and traffic facilities. Among them,

show abstract

“…When using the selection operator and selecting different individuals according to fitness, two individuals with small fitness difference can be crossed with a larger probability and the corresponding selection probability can be calculated [21]. The selection probability of the j-th individual can be expressed as follows:…”

Section: Interactive Genetic Algorithm and Its Innovative Designmentioning

confidence: 99%

The Application of Genetic Algorithm in the Optimal Design of Landscape Space Environment

Liu

2022

Mathematical Problems in Engineering

View full text Add to dashboard Cite

Garden landscape not only provides people with places of rest and entertainment, but also protects the natural environment and maintained ecological balance. Although the traditional garden architectural style could retain the classical landscape style, the modern garden facilities and conditions had been greatly improved, and people’s expectations for the construction level of garden landscape continued to improve. Therefore, the effect of traditional landscape design could no longer meet the requirements of social development. This article proposed an interactive genetic algorithm-based landscape space environment optimization design method, in order to provide a certain theoretical reference for landscape design. Firstly, by analyzing the relationship between landscape and buildings, the change in people’s demand for landscape space environment and the relevant characteristics of landscape, this article expounded on the basic principles and methods that landscape design should follow and gave the problems existing in landscape design. Secondly, the interactive genetic algorithm and its innovative design theory were summarized, and the optimization design method of garden landscape space environment based on interactive genetic algorithm was proposed. Finally, the evaluation index system of landscape spatial environment was constructed, and experimental analysis was carried out with a landscape design as a case. The results showed that compared with the traditional landscape design methods, the design scheme proposed in this article could achieve better evaluation results. The optimization design method of landscape space environment proposed in this article could provide some technical support and theoretical reference for landscape architecture and design.

show abstract

Research on interface design based on user's mental model driven by interactive genetic algorithm

Cited by 3 publications

References 0 publications

Usability Evaluation of in-Vehicle AR-HUD Interface Applying AHP-GRA

Usability Evaluation of in-Vehicle AR-HUD Interface Applying AHP-GRA

Research on color fusion model of historic and cultural blocks in Shanghai based on deep learning algorithm‐take Tianzifang as an example

The Application of Genetic Algorithm in the Optimal Design of Landscape Space Environment

Contact Info

Product

Resources

About