Design and Analysis of an Automatic UI Adaptation Framework from Multimodal Emotion Recognition using an RGB-D Sensor

Medjden, Selma; Ahmed, Naveed; Lataifeh, Mohammed

doi:10.1016/j.procs.2020.03.011

Cited by 7 publications

(3 citation statements)

References 11 publications

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“…The research process carried out by the researcher made research stages that were carried out sequentially in 4 (four) phases, the stages were the first phase of needs analysis, the second phase of user interface design, the third phase of implementation and the fourth phase of testing, [24], [25]. The stages of the research phase can be seen in Figure 1.…”

Section: Methodsmentioning

confidence: 99%

Measuring the usability effectiveness of using card menus and tree menus in school web applications

Hadiq,

Solehatin,

Djuniharto

et al. 2024

J. Soft Comput. Explor.

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The aim of this research is to measure the usability effectiveness of a web application by using card menus and tree menus using user-friendly criteria and access speed as indicated by the number of clicks made by the user. The method used in this research is the Task-centered User Interface method, where this method allows for planning and evaluating the arrangement of the interface according to user needs. There are four stages in this method, including user identification by conducting needs analysis, the second phase is user interface design. The third phase is the implementation of the card menu and tree menu design, and the fourth face is testing the usability and effectiveness requirements. From the research that has been carried out regarding measuring the effectiveness of using card menus, it is more effective to use than tree menus because you can directly lift the menu and access it. Meanwhile, for usability, the card menus have a higher usability index than the tree menus. Meanwhile, for usability measurements carried out by direct observation and distributing questionnaires, the resulting percentage of user understanding, ease, and speed for the card menu display was 87% and for the tree menu was 60% so that the card menu display was more accepted by users than the tree menu. The new thing provided by the results of this research is in the form of suggestions that can be used by web application developers to use the right type of menu in building web-based applications with the same specifications as in the case of school finance applications.

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Section: Methodsmentioning

confidence: 99%

Measuring the usability effectiveness of using card menus and tree menus in school web applications

Hadiq,

Solehatin,

Djuniharto

et al. 2024

J. Soft Comput. Explor.

View full text Add to dashboard Cite

show abstract

“…The most common applications of emotion recognition technologies are in the development of computer games to enhance the overall experience [9]; in education, when trying to improve the teaching and accessibility of the program, by taking into account the emotional state of the students [10]; in medicine to detect health problems earlier [11]; in advertising companies trying to understand what kind of product the respective market wants; or in customer service by providing the best possible service quality. Medjden et al investigated the automatic adaptation of the user interface depending on the multimodal emotion recognition system using the RGB-D sensor [12]. While their focus was on automation rather than UI testing, their work highlights the potential benefits of automating emotion-driven UI adjustments to enhance user experience.…”

Section: Introductionmentioning

confidence: 99%

Emotion Recognition in Usability Testing: A Framework for Improving Web Application UI Design

Drungilas,

Ramašauskas,

Kurmis

2024

Applied Sciences

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Traditional usability testing methods often lack the ability to fully capture different aspects of the user experience (UX). The focus of this research work is to propose a framework and develop its comprehensive prototype to improve usability testing and UX analysis by integrating session recording, interaction logging, and emotion recognition methods. A trained emotion recognition model based on MobileNetV2 architecture in conjunction with Hotjar and Google Analytics is proposed to add more context to the user experience during usability testing. The results obtained during the testing of a developed framework prototype showed that UI testing based on UX principles and integration of emotion recognition can be a powerful tool for improving the UI of web applications. It is recommended to improve UI testing processes by incorporating these aspects and data analysis methods. This would provide a more complete and more objective picture of the usability of the interface.

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“…Compared with the tediousness of skeuomorphic style design, flat-style icon design has become popular in the UI interface theme design of smart facilities. It is increasingly favored by more media and icon designers, and UI interface designers and practitioners of intelligent devices also begin to use this style more for icon and interface design [16]. e UI interface design in the flatstyle smart facility is to reduce the cluttered feeling and the cumbersome system operation experience brought by the quasi-material design style icon design to users.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Application Prospect of Computer Image Processing Technology in UI Design

Yang

2022

Advances in Multimedia

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In order to improve the interface experience effect of the mobile terminal software, this paper improves the UI design by combining computer image processing technology and improves the diffusion algorithm for images by improving the diffusion model, improving the diffusion coefficient and adaptively selecting the diffusion threshold. Moreover, this paper has carried out deep research on coordinate transformation and image interpolation and stored the result of coordinate transformation in the coordinate transformation table and weight table. In addition, this paper proposes an improved digital scan conversion method based on a lookup table and constructs an improved UI design system model. Through the analysis of experimental data, it can be seen that the application effect of computer image processing technology in UI design is very good, and it can effectively promote the improvement of UI design technology.

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Design and Analysis of an Automatic UI Adaptation Framework from Multimodal Emotion Recognition using an RGB-D Sensor

Cited by 7 publications

References 11 publications

Measuring the usability effectiveness of using card menus and tree menus in school web applications

Measuring the usability effectiveness of using card menus and tree menus in school web applications

Emotion Recognition in Usability Testing: A Framework for Improving Web Application UI Design

Analysis of the Application Prospect of Computer Image Processing Technology in UI Design

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