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1
Neelam Yadav, Supriya P. Panda. "UI Action Logger to Investigate Potential Robotic Process Automation Routines." Tuijin Jishu/Journal of Propulsion Technology 45, no. 01 (2024): 1443–53. http://dx.doi.org/10.52783/tjjpt.v45.i01.4215.
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Robotic Process Automation (RPA) is a cost-effective technology that emulates human tasks, reduces errors and enhances business performance. However, identifying ideal processes for RPA implementation can be challenging. Process Mining is a strategy that leverages User Interface (UI) logs to delve into processes and generate "process maps." These logs record user actions during processes, necessitating the use of a tool such as UI Action Logger to capture and transmit them to a cloud-based application for logging. Subsequently, Process Mining frameworks like ProM utilize these logs to construct process models, aiding in the identification of repetitive processes suitable for RPA automation. This innovative study shifts the focus of process mining from event logs to UI logs, simplifying the detection of potential routines. Enriched UI logs are valuable for creating RPA bots, conducting in-depth process analysis, task mining, and training RPA bots through machine learning, and selecting processes for automation. In summary, UI Action Logger offers distinctive features, capturing user interactions at a coarse level conducive to RPA implementation.
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Xiaoan, Zhan, Xu Yang, and Liu Yingchia. "Personalized UI Layout Generation using Deep Learning: An Adaptive Interface Design Approach for Enhanced User Experience." International Journal of Engineering and Management Research 14, no. 5 (2024): 134–47. https://doi.org/10.5281/zenodo.14190245.
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This study presents a new approach to personalized UI design using deep learning techniques to improve user experience through interface customization. We propose a hybrid VAE-GAN architecture combining variational autoencoders and generative adversarial networks to create coherent and user-specific UI layouts. The system includes user-friendly electronic models that capture personal preferences and behaviors, enabling real-time personalization of interactions. Our methodology leverages large-scale UI design datasets, and user interaction logs to train and evaluate the model. Experimental results demonstrate significant improvements in layout quality, personalization accuracy, and user satisfaction compared to existing approaches. A customer research study with 200 participants from different cultures proves the effectiveness of the personalization model in real situations. The system achieves a personalization accuracy of 0.89 ± 0.03 and a transfer speed of 1.2s ± 0.1s, the most efficient state-of-the-art UI personalization system. In addition, we discuss the theoretical implications of our approach to UI/UX design principles, potential business applications, and ethical considerations around AI-driven identity. This research contributes to advancing adaptive interface design and opens up new ways to integrate deep learning with UI/UX processes.
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Zhan, Xiaoan, Yang Xu, and Yingchia Liu. "Personalized UI Layout Generation using Deep Learning: An Adaptive Interface Design Approach for Enhanced User Experience." Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 6, no. 1 (2024): 463–78. https://doi.org/10.60087/jaigs.v6i1.270.
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This study presents a new approach to personalized UI design using deep learning techniques to improve user experience through interface customization. We propose a hybrid VAE-GAN architecture combining variational autoencoders and generative adversarial networks to create coherent and user-specific UI layouts. The system includes user-friendly electronic models that capture personal preferences and behaviors, enabling real-time personalization of interactions. Our methodology leverages large-scale UI design datasets, and user interaction logs to train and evaluate the model. Experimental results demonstrate significant improvements in layout quality, personalization accuracy, and user satisfaction compared to existing approaches. A customer research study with 200 participants from different cultures proves the effectiveness of the personalization model in real situations. The system achieves a personalization accuracy of 0.89 ± 0.03 and a transfer speed of 1.2s ± 0.1s, the most efficient state-of-the-art UI personalization system. In addition, we discuss the theoretical implications of our approach to UI/UX design principles, potential business applications, and ethical considerations around AI-driven identity. This research contributes to advancing adaptive interface design and opens up new ways to integrate deep learning with UI/UX processes.
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Harshavardhan1, Polamarasetty. "Design and Implementation of a Fine-Tuned Llama-Based AI Chatbot with Voice and Text Interaction Using Streamlit and Ollama." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 03 (2025): 1–9. https://doi.org/10.55041/ijsrem42961.
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Natural language processing (NLP) drives artificial intelligence (AI)driven chatbots that have gained great popularity in many industries in recent years [15], therefore improving humancomputer interactions. Optimized for quick conversational reactions, this paper describes an AIdriven chatbot driven by a finely tuned Llama 3.2 model. Using Streamlit for an interactive user interface, Ollama for model deployment, and SpeechRecognition and pyttsx3 for smooth voice input and texttospeech (TTS) output [5][10[11]], the chatbot combines voice and textbased communication [2][4]. Using Sloth, a dedicated framework for finetuning big language models (LLMs), the chatbot model is trained in a Google Colab environment. Exported in GGUF format and deployed using the Ollama runtime, the trained model helps run inference efficiently. Streamlit produces a strong user interface including chat history management, voicebased interaction toggle, live response streaming, and downloadable conversation logs [7][8]. The techniques used for chatbot finetuning, model deployment, and improvement of realtime interaction are brought forward in this study. The accuracy of responses, user experience evaluations, and performance improvements mentioned. The research shows how connecting cuttingedge NLP models with current deployment platforms improves chatbot usability and performance [1][9][12][15]. Keywords—Artificial Intelligence (AI), Natural Language Processing (NLP), Conversational AI, AI Chatbots, Large Language Models (LLMs), Llama 3.2, Fine-Tuning, Sloth Framework, Google Colab, Ollama Deployment, GGUF Format, Streamlit UI, Speech-to-Text (STT), Text-to-Speech (TTS), SpeechRecognition, pyttsx3, Model Optimization, User Interaction, Real-time Response, Voice-Based Chatbot
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Pratama, Bayu, Zulhendra, Ahmaddul Hadi, and Lativa Mursyida. "Development of Network Infrastructure Monitoring System at Vocational High School Using MikroTik and Telegram Integration." Journal of Hypermedia & Technology-Enhanced Learning (J-HyTEL) 2, no. 3 (2024): 188–201. http://dx.doi.org/10.58536/j-hytel.v2i3.133.
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This study aimed to develop a monitoring system for the computer network infrastructure at SMKN 7 Sijunjung. The system was designed to provide real-time monitoring of traffic, activity logs, and connected user devices on the MikroTik router; additionally, the application integrated notifications through the Telegram service to offer prompt information regarding network disruptions. The design methodology employed was PPDIOO (prepare, plan, design, implement, operate, and optimize). The system is implemented using a combination of hardware and software, including the utilization of the CodeIgniter framework for the user interface (UI). System testing was conducted using the BlackBox method to evaluate the functionality of the application comprehensively. The test results confirm that the application effectively monitored the network and promptly notified us of its status. However, there were certain challenges identified during testing, such as problems with online connectivity to the MikroTik router and limitations in database storage. The proposed solutions include activating the VPN on MikroTik and enhancing database storage capacity. This research contributes to the development of computer network infrastructure-monitoring systems in educational environments. These findings will lay the groundwork for other educational institutions to enhance the efficiency of network monitoring and maintenance in schools.
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Yulianto, Arief, and I. Gusti Ayu Agung Aristi Putri. "Semiotic Analysis of Twitter Logo Change to Logo X: User Interface (UI) Design and User Psychological Perspectives." Brilliance: Research of Artificial Intelligence 4, no. 1 (2024): 237–44. http://dx.doi.org/10.47709/brilliance.v4i1.4037.
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The development of a logo has become a visual identity for big brands. Some brands create logos to be the biggest promotional resource to attract the mindset of their customers. In the context of technology applications, a logo is not just a symbol, but also an integral part of the User Interface (UI) that influences user interaction and engagement. Twitter, as one of the largest social media platforms in the world, has undergone a significant change in its visual identity by replacing its iconic logo to a new logo known as X. This research uses a descriptive analysis research method with comparative analysis from the researcher himself and data approaches carried out with the 5W + 1H theory. Semiotic Theory using Roland Barthes theory which explains that the first stage of signification is the relationship of signifier (expression) and signified (content) in a sign to external reality. In addition, this analysis also looks at the UI Design side and the user psychology side with the Gestalt Psycholgy theory. The results and findings viewed in the context of UI design, these changes present new challenges and opportunities to create a consistent and engaging user experience. Users' psychological reactions were mixed, indicating that the logo change had a major impact on users' perception and engagement with the app. Through the 5W+1H concept and personal analysis, this research provides a comprehensive understanding of the meaning and impact of the logo change.
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Hou, Yu, and Ji-Sung Song. "A study on the Applicability of AI-Generated Content in Facade Design for Cosmetic Stores." korea soc pub des 12 (December 31, 2024): 112–21. https://doi.org/10.54545/kspd.2024.12.112.
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Artificial intelligence-generated content(AIGC) has demonstrated its potential to provide efficient and creative design solutions through user-friendly interfaces. This capability has garnered significant attention in the design field. In recent years, cosmetic retail stores need differentiated facade designs to effectively convey their brand identity. Accordingly, this study aims to explore the integration potential of AIGC technology in cosmetic retail facade design. The research methodology involved a review of AIGC technology, image-generation platforms, and cosmetic retail facade design. Facade images for three Korean cosmetic retail brands Skinfood, Innisfree and Missha were enerated and analyzed using Midjourney and Stable Diffusion Web UI platforms. These platforms effectively expressed both structural and decorative elements to convey brand concepts. Specifically, they generated creative images that faithfully reflected brand concepts in elements such as signboards, shop windows, and lighting, while logos were presented as substitutes due to copyright considerations. This study concludes that AIGC technology can provide innovative and competitive solutions for cosmetic retail facade design. Furthermore, AIGC is expected to offer creative and innovative application strategies in commercial space design.
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Shekhawat, Natansh, Krishna. R. Mohan, Sunder. P. Shyam, and Rajitha, K. "AI-powered threat detection system." World Journal of Advanced Engineering Technology and Sciences 15, no. 3 (2025): 713–20. https://doi.org/10.30574/wjaets.2025.15.3.0969.
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In an era of growing digital interconnectedness, the threat landscape for networked systems has expanded rapidly, making traditional security mechanisms increasingly ineffective against sophisticated cyber-attacks. Intrusion Detection Systems (IDS) are crucial in identifying and mitigating such threats, but conventional rule-based approaches often fail to detect novel or evolving attack patterns. This paper proposes an AI-powered IDS framework that utilizes Random Forest and Decision Tree machine learning models for high-accuracy threat detection in real time. The models are trained on benchmark datasets, namely NSL-KDD and CICDDOS2019, both widely used in cybersecurity research. Preprocessing techniques such as one-hot encoding and robust feature scaling were applied to optimize learning. The trained models are then integrated into a web application built with Flask, providing users with a seamless interface to upload network traffic logs in CSV format and instantly receive predictions. The system also incorporates rule-based logic to categorize detected attacks into DoS, Probe, R2L, and U2R, enhancing interpretability. Evaluation results demonstrate that the Random Forest model achieved a classification accuracy of 99.36% and an F1-score of 0.9986, outperforming the Decision Tree model across all metrics. The application supports real-time traffic classification, returning predictions within seconds and displaying confusion matrices, precision, recall, and attack distributions through a clean, responsive UI. This research bridges the gap between theoretical machine learning models and their real-world application in cybersecurity, offering a scalable, accurate, and user-friendly solution for automated threat detection in both academic and professional environments.
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Preciado, Juan, Marino Linaje, and Fernando Sánchez-Figueroa. "Adapting Web 1.0 User Interfaces to Web 2.0 Multidevice User Interfaces using RUX-Method." JUCS - Journal of Universal Computer Science 14, no. (13) (2008): 2239–54. https://doi.org/10.3217/jucs-014-13-2239.
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The development of Web applications, both functionality and Web User Interfaces (UIs), has been facilitated over the last few years using Web models and methodologies. However, new requirements that overcome traditional HTML-based Web 1.0 User Interfaces limits have arisen. Developers and tool vendors have answered these limits introducing Rich Internet Applications (RIAs). RIA technologies provide Web 2.0 UI capabilities such as high interactivity and native multimedia support among others. Currently, numerous developers are adapting many of their legacy Web 1.0 applications to Web 2.0 introducing Web 2.0 UI capacities while maintaining the business logic. Nevertheless, there is a lack of methodologies to support this adaptation process. In this paper we show how to use a model driven method called RUX-Method for the systematic adaptation of existing Web 1.0 UIs to Web 2.0 multidevice UIs. This method focuses on new UI capabilities provided by RIAs while taking advantage of functionality already provided by existing Web models. The proposal follows a common UI design for all the devices and an ad-hoc design approach for each device attending to its specific features.
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He, Zecheng, Srinivas Sunkara, Xiaoxue Zang, et al. "ActionBert: Leveraging User Actions for Semantic Understanding of User Interfaces." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 7 (2021): 5931–38. http://dx.doi.org/10.1609/aaai.v35i7.16741.
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As mobile devices are becoming ubiquitous, regularly interacting with a variety of user interfaces (UIs) is a common aspect of daily life for many people. To improve the accessibility of these devices and to enable their usage in a variety of settings, building models that can assist users and accomplish tasks through the UI is vitally important. However, there are several challenges to achieve this. First, UI components of similar appearance can have different functionalities, making understanding their function more important than just analyzing their appearance. Second, domain-specific features like Document Object Model (DOM) in web pages and View Hierarchy (VH) in mobile applications provide important signals about the semantics of UI elements, but these features are not in a natural language format. Third, owing to a large diversity in UIs and absence of standard DOM or VH representations, building a UI understanding model with high coverage requires large amounts of training data. Inspired by the success of pre-training based approaches in NLP for tackling a variety of problems in a data-efficient way, we introduce a new pre-trained UI representation model called ActionBert. Our methodology is designed to leverage visual, linguistic and domain-specific features in user interaction traces to pre-train generic feature representations of UIs and their components. Our key intuition is that user actions, e.g., a sequence of clicks on different UI components, reveals important information about their functionality. We evaluate the proposed model on a wide variety of downstream tasks, ranging from icon classification to UI component retrieval based on its natural language description. Experiments show that the proposed ActionBert model outperforms multi-modal baselines across all downstream tasks by up to 15.5%.
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Bowman, Doug A., Jian Chen, Chadwick A. Wingrave, et al. "New Directions in 3D User Interfaces." International Journal of Virtual Reality 5, no. 2 (2006): 3–14. http://dx.doi.org/10.20870/ijvr.2006.5.2.2683.
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Three-dimensional user interfaces (3D UIs) support user tasks in many non-traditional interactive systems such as virtual environments and augmented reality. Although 3D UI researchers have been successful in identifying basic user tasks and interaction metaphors, evaluating the usability of 3D interaction techniques, and improving the usability of many applications, 3D UI research now stands at a crossroads. Very few fundamentally new techniques and metaphors for 3D interaction have been discovered in recent years, yet the usability of 3D UIs in many real-world applications is still not at a desirable level. What directions should 3D UI researchers next explore to improve this situation? In this paper, we make some observations about the history of 3D UIs and the current state-of-the-art. Using this evidence, in addition to our own experience, we argue that 3D UI researchers should approach this problem using some new research approaches, which cluster around the concepts of specificity, flavors, implementation, and emerging technologies. We illustrate and discuss some of these new directions using case studies of research projects undertaken in our group. These explorations indicate the promise of these directions for further increasing our understanding of 3D interaction and 3D UI design, and for ensuring the usability of 3D UIs in future applications
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Zeng, Xiahui, Mengyue Zheng, and Xinyue Liao. "The Value Exploration and Application Practice of IP Design in UI Interfaces." Economic Society and Humanities 1, no. 11 (2024): 62–68. https://doi.org/10.62381/e244b09.
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This paper discusses the value mining and application practice of IP design in UI interface, and analyzes how IP design infuses stronger brand recognition and user attraction into UI interface through unique visual elements, storytelling and emotional experience. This article deeply analyzes the unique role of IP design in improving user experience, including enhancing user emotional resonance, improving interface usability and fun. Through specific cases, it shows the innovative application of IP design in UI interface, which provides designers with a new path and strategy to improve user experience, and is of great significance for promoting the development of UI design.
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Yigitbas, Enes, Ivan Jovanovikj, Kai Biermeier, Stefan Sauer, and Gregor Engels. "Integrated model-driven development of self-adaptive user interfaces." Software and Systems Modeling 19, no. 5 (2020): 1057–81. http://dx.doi.org/10.1007/s10270-020-00777-7.
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Abstract Modern user interfaces (UIs) are increasingly expected to be plastic, in the sense that they retain a constant level of usability, even when subjected to context changes at runtime. Self-adaptive user interfaces (SAUIs) have been promoted as a solution for context variability due to their ability to automatically adapt to the context-of-use at runtime. The development of SAUIs is a challenging and complex task as additional aspects like context management and UI adaptation have to be covered. In classical model-driven UI development approaches, these aspects are not fully integrated and hence introduce additional complexity as they represent crosscutting concerns. In this paper, we present an integrated model-driven development approach where a classical model-driven development of UIs is coupled with a model-driven development of context-of-use and UI adaptation rules. We base our approach on the core UI modeling language IFML and introduce new modeling languages for context-of-use (ContextML) and UI adaptation rules (AdaptML). The generated UI code, based on the IFML model, is coupled with the context and adaptation services, generated from the ContextML and AdaptML model, respectively. The integration of the generated artifacts, namely UI code, context, and adaptation services in an overall rule-based execution environment, enables runtime UI adaptation. The benefit of our approach is demonstrated by two case studies, showing the development of SAUIs for different application scenarios and a usability study which has been conducted to analyze end-user satisfaction of SAUIs.
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Amit, Gupta. "On Device - Utilizing UI Elements to Capture Logs in Test Automation for Apple Applications." Journal of Scientific and Engineering Research 6, no. 11 (2019): 305–10. https://doi.org/10.5281/zenodo.12792680.
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XCUITest is a robust tool for automating UI tests for Apple platform’s applications. It offers a comprehensive framework for simulating user interactions and verifying UI behaviours. However, a significant challenge arises from Apple's sandboxing mechanism, which restricts access to the application container and, consequently, the logs generated by the application. This limitation can hinder effective debugging and validation of application behaviour. This paper explores a method to overcome this restriction by using a UI element within the application itself to capture and retrieve logs during testing. By integrating a lightweight logging mechanism directly into the application's UI, we can ensure that log messages are easily accessible to the test code. The proposed approach is simple to implement, highly reliable, and does not depend on external servers or network connections, making it a practical and efficient solution for developers and testers. Additionally, this method maintains the security and integrity of the application's sandbox environment while providing valuable insights into its runtime behaviour.
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Richi, Michael, Jenifer Gunawan, Michael Michael, and Ahmad Farisi. "Analisis Metode Perancangan dan Evaluasi UI/UX: Sebuah Tinjauan Literatur Sistematis." MDP Student Conference 4, no. 1 (2025): 601–8. https://doi.org/10.35957/mdp-sc.v4i1.11300.
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Saat ini, dengan perkembangan teknologi yang pesat menjadikan desain User Interfaces (UI) maupun User Experience (UX) merupakan elemen krusial untuk menjamin keberhasilan suatu produk digital. Peneliti melakukan penelitian tersebut bertujuan untuk menganalisis metode perancangan dan evaluasi User Interfaces (UI) serta User Experience (UX) dengan menggunakan pendekatan Systematic Literature Review (SLR) dengan rentang waktu 2022-2024. Data diperoleh dari pencarian di Google Scholar dengan memasukkan kata kunci “Perancangan UI/UX”. Hasil dari penelitian ini menunjukkan bahwa metode Design Thinking menjadi suatu metode yang paling sering digunakan dimana terdapat 13 jurnal yang memakai metode tersebut dalam penelitian ini. Sedangkan untuk metode Prototyping dan User Centered Design masing-masing sebesar 4 jurnal. Untuk tools yang paling banyak digunakan yaitu software Figma, yang dimana terdapat 20 jurnal yang memakai tools Figma, sedangkan untuk evaluasi sendiri yang paling banyak digunakan adalah menggunakan Usability Testing. Yang menjadi fokus aplikasi UI/UX paling banyak digunakan yaitu pada bidang penjualan dan diikuti dengan pendidikan serta pelayanan. Maka, penelitian ini menegaskan bahwa metode dan tools yang digunakan tentunya sangat memengaruhi kualitas desain UI/UX serta kepuasan dari penggunanya.
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Kremer, Klaus. "Anticipative interfaces for emergency situations." Information Design Journal 23, no. 1 (2017): 32–38. http://dx.doi.org/10.1075/idj.23.1.05kre.
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This case study explores concepts and methodologies in user interface (UI) and user experience (UX) design with a view to increasing information retention and memorisation through the inclusion of human-centred design principles. It focuses on the participants’ individual context, mental state and abilities. In emergencies, visual perception and situation awareness may be restricted due to the impact of sensory symptoms (panic, tunnel vision or limited motor skills), thus calling for a linear course of action. This applied research project, ‘Floodscape’, is a mobile application designed to educate its user about possible inundation zones resulting from a tsunami. Ongoing user engagement through interactive simulation is the prime focus of the initial (dormant) state of the app. In case of an actual tsunami the app registers the event and adapts its UI accordingly. Crucial life-saving wayfinding information will then be displayed in a contextual manner considering contrast, typography, limited user attention and ease of use.
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Kim, Soyeon, René van Egmond, and Riender Happee. "Effects of User Interfaces on Take-Over Performance: A Review of the Empirical Evidence." Information 12, no. 4 (2021): 162. http://dx.doi.org/10.3390/info12040162.
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In automated driving, the user interface plays an essential role in guiding transitions between automated and manual driving. This literature review identified 25 studies that explicitly studied the effectiveness of user interfaces in automated driving. Our main selection criterion was how the user interface (UI) affected take-over performance in higher automation levels allowing drivers to take their eyes off the road (SAE3 and SAE4). We categorized user interface (UI) factors from an automated vehicle-related information perspective. Short take-over times are consistently associated with take-over requests (TORs) initiated by the auditory modality with high urgency levels. On the other hand, take-over requests directly displayed on non-driving-related task devices and augmented reality do not affect take-over time. Additional explanations of take-over situation, surrounding and vehicle information while driving, and take-over guiding information were found to improve situational awareness. Hence, we conclude that advanced user interfaces can enhance the safety and acceptance of automated driving. Most studies showed positive effects of advanced UI, but a number of studies showed no significant benefits, and a few studies showed negative effects of advanced UI, which may be associated with information overload. The occurrence of positive and negative results of similar UI concepts in different studies highlights the need for systematic UI testing across driving conditions and driver characteristics. Our findings propose future UI studies of automated vehicle focusing on trust calibration and enhancing situation awareness in various scenarios.
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Yingchia Liu, Hao Tan, Guanghe Cao, and Yang Xu. "Enhancing user engagement through adaptive UI/UX Design: A study on personalized mobile app interfaces." Computer Science & IT Research Journal 5, no. 8 (2024): 1942–62. http://dx.doi.org/10.51594/csitrj.v5i8.1457.
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This paper presents a comprehensive study on developing and evaluating an adaptive UI/UX framework to enhance user engagement in mobile applications through personalized interfaces. The research investigates key factors influencing user engagement, including demographics, cognitive abilities, and contextual variables. A context-aware adaptation engine was designed to adjust interface elements based on real-time user data dynamically. The proposed framework was implemented in a mobile learning application and subjected to rigorous usability testing and user engagement analysis. Results demonstrated significant improvements in task completion rates, user satisfaction, and overall engagement metrics compared to non-adaptive interfaces. This study contributes valuable insights into the design and optimization of adaptive mobile interfaces, emphasizing the importance of personalization in creating compelling user experiences. Keywords: Adaptive UI/UX, User Engagement, Context-Aware Adaptation, Mobile Application Design.
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Sokolov, Sergey Viktorovich, and Aleksey Nikolaevich Morozov. "Model of connectivity indicator of user interfaces of automated workplaces of emergency services." Technology of technosphere safety 96 (2022): 92–102. http://dx.doi.org/10.25257/tts.2022.2.96.92-102.
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Introduction. The article presents a model and analytical expressions for calculating one of the possible indicators of the quality of user interfaces (UI) of automated workstations of operational units of emergency rescue services (OU ERS), namely the connectivity indicator. The quantitative value of the indicator allows us to assess the measure of compliance of the visual design of the UI with the psychophysiological features of human perception of information. Goals and objectives. Reducing the dispatching time of OU ERS by improving the quality of the UI. Defining user characteristics. Development of a mathematical model and algorithm for calculating the connectivity index of the UI elements, which allows establishing a quantitative dependence of the dispatching time of the OU ERS on the visual design of the UI. Methods. Methods of set theory, graph theory and relational algebra were used to build the UI model and the algorithm for calculating the connectivity index. Results and discussion. The success of the actions of OU ERS largely depends on the dispatch time, during which the required number of units is determined and sent. This time depends on the quality of the ARM and is largely determined by its user interface. However, the time indicator gives an idea only about the relative time – the time spent by one ARM relative to another. And it does not give any idea of the optimal time that would be spent on solving the task of an ARM with an optimal visual UI design. However, the methods of quantifying the dependence of the dispatch time of the OU ERS on the visual design of the UI are currently insufficiently developed. The proposed connectivity indicator is sensitive to the UI configuration. This allows you to identify and evaluate one of the reasons affecting the quality of the UI, and can be used when designing and/ or choosing the layout of the user interface. Conclusions. Based on the proposed model, an algorithm has been developed for calculating the numerical values of the connectivity index of UI elements sensitive to their relative location, size and design on the monitor of the dispatcher of the ARM OU ERS. This makes it possible to optimize the user interface according to the criterion of time for solving tasks and, accordingly, reduce the dispatching time. Keywords: operational units, user interface, quality, connectivity indicator, sets, navigation on sets.
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Alves, Sérgio, Ricardo Costa, Kyle Montague, and Tiago Guerreiro. "Citizen-Led Personalization of User Interfaces: Investigating How People Customize Interfaces for Themselves and Others." Proceedings of the ACM on Human-Computer Interaction 8, CSCW2 (2024): 1–23. http://dx.doi.org/10.1145/3686985.
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User interface (UI) personalization can improve usability and user experience. However, current systems offer limited opportunities for customization, and third-party solutions often require significant effort and technical skills beyond the reach of most users, impeding the future adoption of interface personalization. In our research, we explore the concept of UI customization for the self and others. We performed a two-week study where nine participants used a custom-designed tool that allows websites' UI customization for oneself and to create and reply to customization assistance requests from others. Results suggest that people enjoy customizing for others more than for themselves. They see requests as challenges to solve and are motivated by the positive feeling of helping others. To customize for themselves, people need help with the creative process. We discuss challenges and opportunities for future research seeking to democratize access to personalized UIs, particularly through community-based approaches.
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Novenya Rahmadani and Siti Ning Fardida. "Peran UI/UX Pada Layanan Aplikasi Mytelkomsel Terhadap Keputusan Pembelian dan Loyalitas Pelanggan." SAFARI :Jurnal Pengabdian Masyarakat Indonesia 4, no. 3 (2024): 220–27. http://dx.doi.org/10.56910/safari.v4i3.1655.
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The crucial role of good UI/UX design in a business environment is examined in this article for several reasons. Well-designed user interfaces and user experiences (UI/UX) can increase user satisfaction by making the interaction process simple and entertaining. Companies can also increase conversion rates. Moreover, a pleasant user experience lowers development and support expenses and increases customer loyalty. Excellent UI/UX design also helps a company stand out from the competition and improves its reputation. Investing in UI/UX is a strategic move that is essential to gaining and retaining a competitive edge in a competitive company climate. Specifically regarding the MyTelkomsel application, the research was conducted qualitatively using Qualitative and unstructured observation methods on aspects of the MyTelkomsel application. Specifically regarding the MyTelkomsel application, the research was conducted qualitatively using unstructured observation methods on the digital aspects of the MyTelkomsel application, which has been downloaded by more than 50 million users in Indonesia. Many MyTelkomsel users still complain about difficulties in using the application, which can result in decreased customer loyalty in subscribing to Telkomsel cards. Based on the research results, the conclusion that can be drawn is that positive user interfaces and user experiences (UI/UX) influence customer loyalty.
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Feng, Shi Hong. "Engineering-Oriented User Interface Design Patterns." Advanced Materials Research 102-104 (March 2010): 880–84. http://dx.doi.org/10.4028/www.scientific.net/amr.102-104.880.
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Patterns have become a more effective way on the knowledge use of the HCI domain. These patterns are mainly oriented to different tasks, which are too coarse-grained to be easily implemented. And it is not given that how to use these patterns to built user interfaces in engineering way. Furthermore, many different patterns are oriented to different models in the model based on user interface (UI) development, which are hard to be integrated into the UI development tool. In point of increasing UI knowledge reuse, every UI is divided into many presentation units (PU), which reduces the grain of UI. Next, the UI feature space is given through three facets and various relations among these facets. Therefore, the Engineering-oriented User Interface Design Pattern (EUIDP) is proposed from the interior model, the presentation model and the operation model. As a case, the Grid EUIDP is explicitly described according to the form of EUIDP. Finally, the conclusion and the further work are discussed.
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Nahar, Garima, and Dr Sonal Jain. "BRIDGING THEORY AND PRACTICE: COMPARATIVE INSIGHTS INTO EVALUATING USER INTERFACES." INTERNATIONAL JOURNAL OF INNOVATIONS & RESEARCH ANALYSIS 4, no. 1(I) (2024): 38–44. http://dx.doi.org/10.62823/ijira.4.1(i).6251.
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Abstract Keywords Cite This Article as User interface (UI) evaluation is an important aspect of software development, ensuring that software or systems are efficient and user satisfactory. Among the various usability testing methods available, Cognitive Walkthrough Method, Heuristic Evaluation Method and Concurrent Usability Testing Method stand out as most popular approaches. This research paper presents a comparative analysis of these testing methods, emphasizing their strengths, flaws, and applicability in different situations. Through a detailed analysis of each testing method's procedural steps, and practical concerns, we aim to provide insights into their effectiveness and suitability for evaluating User Interface (UI) designs. Additionally, we discuss potential synergies and inadequacies when combining these testing methods in practice. Our results and findings contribute to a deeper understanding of UI evaluation techniques and provide guidance for selecting the most appropriate approach for testing team’s specific needs.
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Zhou, Shuwen, Wenxuan Zheng, Yang Xu, and Yingchia Liu. "Enhancing User Experience in VR Environments through AI-Driven Adaptive UI Design." Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 6, no. 1 (2024): 59–82. http://dx.doi.org/10.60087/jaigs.v6i1.230.
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This paper presents a new approach to improving user experience in virtual reality (VR) environments using AI-driven user interface (UI) design. The proposed system uses advanced machine learning techniques to update UI content based on user interaction and real-time context. A comprehensive literature review examines the current state of VR interfaces, AI applications in UI/UX design, and evolving UI technologies. Data is a multi-layered process combining data collection, processing, and editing over time. The design was developed and evaluated through a rigorous study involving 50 participants, comparing a modified UI against a static UI control. The results showed a significant improvement in performance, experience reduction, and overall user satisfaction. The modified UI group showed an 18.6% reduction in completion time, a 47.8% reduction in errors, and a 34.9% increase in user satisfaction scores compared to the static UI group. Physiological data analysis supports these findings, showing reduced stress and increased engagement. This research contributes to the field of VR interface design by providing empirical evidence for the effectiveness of AI-driven adaptive UIs in improving user experience and field performance. Virtual.
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Mamat Nawi, Azmir, Norarifah Ali, and Hafeezur Rahman Mohd Yassin. "Revisiting Digital Interfaces: The Role of Skeuomorphism, Flat Design, and Neo-Skeuomorphism in Modern UI." International Journal of Research and Innovation in Social Science IX, no. IV (2025): 216–30. https://doi.org/10.47772/ijriss.2025.90400017.
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The evolution of User Interface (UI) design has seen significant shifts from Skeuomorphism to Flat Design and, more recently, Neo-Skeuomorphism. While Skeuomorphism enhances affordances and intuitive interaction, it often results in visual clutter and increased cognitive load. Conversely, Flat Design prioritizes minimalism and efficiency, but it lacks clear affordances, making user interaction less intuitive. Neo-Skeuomorphism has emerged as a hybrid approach, blending the realism of Skeuomorphism with the simplicity of Flat Design, though its effectiveness in modern UI remains underexplored. The problem addressed in this study is the lack of empirical and conceptual understanding of the balance between usability, cognitive load, aesthetic appeal, and user engagement across these UI paradigms. This study aims to examine the historical evolution, usability implications, and future prospects of Skeuomorphism, Flat Design, and Neo-Skeuomorphism. By conducting a qualitative conceptual analysis, the study synthesizes peer-reviewed literature, industry reports, and theoretical frameworks, including Affordance Theory, Cognitive Load Theory, and Media Naturalness Theory. A systematic literature review and content analysis were employed to evaluate the impact of UI paradigms on usability, cognitive load, engagement, and aesthetic perception. The findings indicate that Neo-Skeuomorphism provides an optimal balance, improving usability through subtle affordances and visual depth, while preserving a clean and modern aesthetic. Additionally, technological advancements such as AI, AR, and adaptive UI systems are expected to reshape UI paradigms, allowing dynamic transitions between Flat and Skeuomorphic elements based on user behaviour and interaction context. The study has significant theoretical and practical implications. Theoretically, it integrates cognitive and usability frameworks with contemporary digital trends, while practically, it provides designers and developers with actionable insights for creating adaptive, user-friendly, and engaging interfaces. However, as a conceptual study, future research should include empirical validation through user testing and experimental studies to measure the real-world effectiveness of hybrid UI approaches. Understanding the evolving synergy between UI paradigms is crucial for designing intuitive, aesthetically appealing, and future-ready digital experiences.
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Lehman, Miguel, Ricardo Rodrigues Nunes, João Barroso, and Tânia Rocha. "Good Practices for Designing a UI/UX Motorcycle Display: A Systematic Literature Review." WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS 21 (October 15, 2024): 499–508. http://dx.doi.org/10.37394/23209.2024.21.45.
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Within the scope of the Mobilizing Agenda for the Development of Intelligent Green Mobility Products and Systems (A-MoVeR), specifically in the second PPS2 defined the presentation of a “new electric motorcycle, with high autonomy, aimed at promoting comfortable, efficient and green urban mobility"". In this context, we intend to develop user interfaces (UI) for an electric motorcycle that meet the end-user’s expectations by promoting optimal user experience and security. To achieve this goal, this paper provides a preliminary literature analysis, with a compilation of literature related to major aspects for developing an optimized User Interface (UI) and consequently increasing User eXperience (UX), specifying accessibility, adaptability, appeal, and conciseness of motorcycle interfaces in an attempt to determine its constructive qualities. Therefore, it was analyzed studies regarding filtering of displayed information; the controlling of a user’s focus and emotions through means of efficient visual representations; the differences in various types of input methods regarding user attention; and, the relevance of dynamic UI as a solution to a variety of problems related to UI/UX design. Therefore, a systematic literature review was performed, which resulted in the finding of various advantageous practices and ideas that are relevant to the design of a motorcycle’s UI/UX.
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Abdul Kholik, Asep Soegiarto, and Wina Puspita Sari. "Strategi Komunikasi Visual dalam User Interface (UI) dan User Experience (UX) Untuk Membangun Kepuasan Pengguna." TUTURAN: Jurnal Ilmu Komunikasi, Sosial dan Humaniora 2, no. 4 (2024): 335–44. http://dx.doi.org/10.47861/tuturan.v2i4.1358.
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In the current digital era, visual communication is crucial as users rely on interfaces to interact with various platforms. User Interface (UI) and User Experience (UX) design are key components in creating effective visual communication. UI focuses on appearance and aesthetics, while UX pertains to the overall user experience. This study employs a qualitative method through literature review, analyzing relevant written sources such as books and journals to identify findings and principles related to UI and UX. The process involves selecting credible sources and conducting critical analysis of the obtained information. The conclusion of this research indicates that the integration between UI and UX is essential for enhancing effectiveness and user satisfaction in visual communication. By applying user-centered design principles, designers can create digital experiences that are both appealing and functional, thereby increasing user engagement and loyalty.
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Larkin, Henry. "A framework for programmatically designing user interfaces in JavaScript." International Journal of Pervasive Computing and Communications 11, no. 3 (2015): 254–69. http://dx.doi.org/10.1108/ijpcc-03-2015-0014.
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Purpose – The purpose of this paper is to investigate the feasibility of creating a declarative user interface language suitable for rapid prototyping of mobile and Web apps. Moreover, this paper presents a new framework for creating responsive user interfaces using JavaScript. Design/methodology/approach – Very little existing research has been done in JavaScript-specific declarative user interface (UI) languages for mobile Web apps. This paper introduces a new framework, along with several case studies that create modern responsive designs programmatically. Findings – The fully implemented prototype verifies the feasibility of a JavaScript-based declarative user interface library. This paper demonstrates that existing solutions are unwieldy and cumbersome to dynamically create and adjust nodes within a visual syntax of program code. Originality/value – This paper presents the Guix.js platform, a declarative UI library for rapid development of Web-based mobile interfaces in JavaScript.
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Liu, Ming. "The UI Design of the Picture Logo of the Terminal Human-Computer Interaction Interface." Journal of Physics: Conference Series 2074, no. 1 (2021): 012025. http://dx.doi.org/10.1088/1742-6596/2074/1/012025.
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Abstract With the advancement of the information society and the development of China’s economy, enterprises to digital, information, intelligent production requirements continue to improve, the application of industrial software gradually popularized in the production of enterprises. However, in the Internet era, the research on man-machine interface design is in full rage, but the man-machine interface design of domestic industrial software has not been paid attention to. The level of industrial software interface is seriously backward, disjointed with The Times, and completely contrary to, high technology, high efficiency and other industrial execution concepts. On the one hand, this phenomenon will affect the working efficiency of the staff in the operation of the software and the user experience, reduce manufacturing enterprises related to attract talent, on the other hand can also lead to the software under the same technical level, domestic industry software products to attract customers’ ability is insufficient, in the competition with foreign brand products in bad situation.
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Pavliuk, Anastasiia, and Pavlo Salyha. "Graphical and Zero-based Approaches in Hybrid Interfaces of Mobile Applications." Demiurge: Ideas, Technologies, Perspectives of Design 8, no. 1 (2025): 33–48. https://doi.org/10.31866/2617-7951.8.1.2025.330441.
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Research Objective – to determine the ex-tent to which mobile application interfaces utilizing large language models have approached the concept of a zero interface. The research focuses on analyzing how modern language models facilitate the transition toward a zero interface and whether they can provide a full-fledged user experience without interaction with graphical elements. Special attention is given to the practical implementation of the zero interface in mobile applications, the persistence of graphical elements, and their functional role in user interaction with the system and artificial intelligence. Additionally, the study examines the prospects for the further development of the zero interface and its significant impact on the UX/UI design market, including potential challenges and threats. Research мethods include the analysis of scientific and professional studies on zero UI and AI. The identified principles of zero UI were applied to the study of three assistant applications: OpenAI ChatGPT, Microsoft Copilot, and Google Gemini. Scientific Novelty lies in the first com-prehensive analysis of the impact of large language models on the development of the zero interface through a practical study of assistant mobile applications that contain artificial intelligence-based assistants. This approach enables an assessment of the degree of voice interaction integration and dependence on traditional graphical elements. For the first time, a comparative analysis of the level of zero interface integration across different systems has been conducted, allowing for the identification of development trends and prospects for its further implementation. Conclusions. Testing of mobile applications showed that they all contain elements of zero UI, but the main one remains the graphical interface. Mobile applications support a natural user experience with voice commands using artificial intelligence, but to activate and deactivate the voice mode, a graphical interface is required. Zero UI is present as an additional feature that duplicates user interaction based on traditional buttons and input fields. Currently, there is no significant threat to the disappearance of the graphical interface and the job market for its specialists (UI designers). How-ever, for UX designers, there is a new challenge and opportunity to apply their skills by finding those places in the graphical interface that can be simplified by adding zero UI functions.
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Sai Kiran Reddy Malikireddy and Snigdha Tadanki. "AI-Powered Conversational Interfaces for CRM/ERP Systems." World Journal of Advanced Engineering Technology and Sciences 5, no. 1 (2022): 063–74. https://doi.org/10.30574/wjaets.2022.5.1.0003.
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This study examines the integration of conversational AI agents into CRM/ERP platforms, focusing on UI/UX design and NLP capabilities. It highlights the development of user-friendly chatbots for automating workflows, addressing multilingual user interactions, and leveraging backend machine learning pipelines for context-aware responses.
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Bouchelligua, W., A. Mahfoudhi, and M. Abed. "A Model Driven Engineering Approach Toward User Interfaces Adaptation." International Journal of Adaptive, Resilient and Autonomic Systems 3, no. 1 (2012): 65–86. http://dx.doi.org/10.4018/jaras.2012010104.
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In ubiquitous computing, the context of use (user, platform, environment) is in a permanent change. This has brought about new challenges in the Human Computer Interface (HCI) engineering to obtain User Interfaces (UI) that are compliant to their context of use. This paper has benefitted from the interests of parameterized principle transformation in the framework of the Model Driven Engineering (MDE) to propose approaches based on the models for the generation of the adaptable UI. It provides meta-models for the various components of the context of use which plays the role of the transformation parameter of the abstract interface into a concrete interface. It is through a case study of an information system of industrial supervision that the approach is shown to be reliable.
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Mishra, Shruti, Abhishek Guleria, and Mrs Vaibhavi Parikh. "Reducing Cognitive Load in UI Design." International Journal for Research in Applied Science and Engineering Technology 13, no. 3 (2025): 2744–446. https://doi.org/10.22214/ijraset.2025.67917.
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Abstract: User interfaces (UI) play a key role in determining user experiences, as too much cognitive load will leave users tired and reduce usability and engagement. This research explains how to avoid cognitive load by simplifying visual information, creating interaction design, and applying psychological principles. Drawing on real-world case studies, it shows how to best balance aesthetics and functionality to design intuitive digital experiences.
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Kalaiselvi, K., R. Bhuvaneswari, R. Rekha, T. Rajesh Kumar, Rishav Banerjee, and Omang Baheti. "VR based gesture elicitation for user—Interfaces with low vision." Journal of Autonomous Intelligence 7, no. 5 (2024): 1056. http://dx.doi.org/10.32629/jai.v7i5.1056.
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<p>User interfaces (UI) and menus in virtual reality (VR), which frequently replicate traditional UI for computers and smartphones, are not created factoring for individuals with low eyesight as they demand accurate pointing and good vision to engage effectively. As an alternative method of user interaction with UI, using gestures can be recommended. Comparing gesture-based interaction with the conventional point-and-click technique for changing system settings like volume, brightness, and window manipulation in order to test this hypothesis is employed. Accessibility, spatial awareness, and precision for those with low vision while lowering cognitive load and enhancing immersion for all users can be improved by leveraging gestures. The objective of the research work is to explore the framework of Gesture Elicitation in VR environments for users with low vision. In this research work the usage of gestures as a more effective and immersive means of interacting with menus, which will not only enhance the experience of normal VR users but also drastically reduce the friction experienced by those with visual impairments is proposed. User studies demonstrate a noticeable improvement in the aforementioned areas, with faster work completion times, more immersion, and better user satisfaction.</p>
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Wuisang, Metty, Joe Yuan Mambu, and Raissa Maringka. "Perancangan Desain UI/UX Aplikasi Mobile Defisit Kalori Menggunakan Metode Design Thinking." Journal of Information System Research (JOSH) 5, no. 4 (2024): 1488–99. https://doi.org/10.47065/josh.v5i4.5511.
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The increasing prevalence of lifestyle-related health issues highlights the necessity for innovative solutions to promote healthier habits. This study aims to design a better and more suitable user interface (UI) for the user experience (UX) of a mobile calorie deficit application using the Design Thinking method. The primary objective is to create a user-centric UI design that enhances user engagement and supports weight management goals. Through a comprehensive Design Thinking process, which includes empathizing with users, defining problems, ideating solutions, prototyping, and testing, we developed a UI design tailored to the needs of individuals seeking to manage their calorie intake effectively. The testing phase involved two scenarios. The first scenario achieved a miss click rate of 0-9% and a usability score ranging from 91 to 100. User feedback was continuously integrated to refine the design, ensuring usability and functionality. The results demonstrate that the well-structured UI design effectively improves user satisfaction and interaction. This research underscores the value of Design Thinking in developing user-centered interfaces for health management applications.
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Титенко, Андрій, and Сергій Титенко. "GRAPH USER INTERFACES FOR ENHANCING EXPLORATORY LEARNING: AN OVERVIEW." Modern engineering and innovative technologies, no. 29-03 (October 30, 2023): 124–29. http://dx.doi.org/10.30890/2567-5273.2023-29-03-047.
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Exploratory learning is a key methodology in education. This text highlights the role of Graph User Interfaces (Graph UI) in enhancing exploratory learning by providing interactive, graph-structured data representations. Tracing from Euler's work to moder
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Oluwayemisi Runsewe, Olajide Soji Osundare, Samuel Olaoluwa Folorunsho, and Lucy Anthony Akwawa. "Optimizing user interface and user experience in financial applications: A review of techniques and technologies." World Journal of Advanced Research and Reviews 23, no. 3 (2024): 934–42. http://dx.doi.org/10.30574/wjarr.2024.23.3.2633.
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This review paper explores the critical aspects of optimizing User Interface (UI) and User Experience (UX) in financial applications, emphasizing the importance of design and technology in enhancing user engagement, trust, and accessibility. It examines trends such as minimalistic design, personalization, and integrating security features that build user confidence. Key design techniques, including User-Centered Design (UCD), wireframing, A/B testing, and responsive design, are discussed for their roles in creating intuitive and adaptable financial interfaces. The paper also delves into emerging technologies like Artificial Intelligence (AI), Machine Learning (ML), blockchain, Augmented Reality (AR), Virtual Reality (VR), and Voice User Interfaces (VUI), highlighting their potential to revolutionize the user experience in financial services. Finally, it addresses the challenges of balancing security with usability, adapting to new technologies, maintaining regulatory compliance, and embracing sustainability in design. This comprehensive review aims to provide insights into the evolving landscape of UI/UX in financial applications and offer guidance for future development.
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Oluwayemisi, Runsewe, Anthony Akwawa Lucy, Olaoluwa Folorunsho Samuel, and Soji Osundare Olajide. "Optimizing user interface and user experience in financial applications: A review of techniques and technologies." World Journal of Advanced Research and Reviews 23, no. 3 (2024): 934–42. https://doi.org/10.5281/zenodo.14937412.
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This review paper explores the critical aspects of optimizing User Interface (UI) and User Experience (UX) in financial applications, emphasizing the importance of design and technology in enhancing user engagement, trust, and accessibility. It examines trends such as minimalistic design, personalization, and integrating security features that build user confidence. Key design techniques, including User-Centered Design (UCD), wireframing, A/B testing, and responsive design, are discussed for their roles in creating intuitive and adaptable financial interfaces. The paper also delves into emerging technologies like Artificial Intelligence (AI), Machine Learning (ML), blockchain, Augmented Reality (AR), Virtual Reality (VR), and Voice User Interfaces (VUI), highlighting their potential to revolutionize the user experience in financial services. Finally, it addresses the challenges of balancing security with usability, adapting to new technologies, maintaining regulatory compliance, and embracing sustainability in design. This comprehensive review aims to provide insights into the evolving landscape of UI/UX in financial applications and offer guidance for future development.
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Whaiduzzaman, Md, Adnan Sakib, Nisha Jaman Khan, et al. "Concept to Reality: An Integrated Approach to Testing Software User Interfaces." Applied Sciences 13, no. 21 (2023): 11997. http://dx.doi.org/10.3390/app132111997.
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This paper delves into the complex task of evaluating a website user interface (UI) and user experience (UX), a process complicated by gaps in research. To bridge this, we introduced an innovative human–computer interaction (HCI) framework that synergizes expert cognitive walkthroughs and user surveys for a comprehensive view. We transformed user responses into three key domains—control, engagement, and goal. Our work also generalized an extract of four context-level data metrics for a robust evaluation. The numerical evidence, such as a C1 score of 4.1, surpassing the expert usability benchmark, indicated our framework’s effectiveness. Our research not only addresses an essential gap by integrating assessments from both users and experts, but also offers actionable insights for UI/UX design. The findings extend beyond this specific context, providing a potent evaluation tool for website usability across various websites. Lastly, the research underscores the importance of prioritizing users’ needs and expert recommendations in design principles, significantly contributing to the broader domain of website usability and user experience.
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Zou, Xiao Jia, Xiang Dong You, Hao Pan, Xu Zhang, and Qian Luo. "User Interface Design and Implementation for Electricity Operation Information System Based on Android." Applied Mechanics and Materials 602-605 (August 2014): 3630–34. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.3630.
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In this paper, we mainly explore how to design and implement the user interfaces of Electricity Operation Information System based on Android. The paper extends its process as the following four aspects---requirements analysis, UI design, interaction design and programmatic implementation. In response to user actions fluidly and friendly, we add modules to handle exceptions. In the end, we give a briefly test on the system UI to ensure it run smoothly and make less mistakes. There are limited studies focusing on the flow design of UI combined with programmatic implementation. The UI design and implementation methodology has good reference at the early stage of developing an application, especially on Android platforms.
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Aditya Jayanta Undirwadkar. "The rise of server-driven UI: A paradigm shift in mobile app development." World Journal of Advanced Engineering Technology and Sciences 15, no. 2 (2025): 055–61. https://doi.org/10.30574/wjaets.2025.15.2.0538.
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Server-Driven UI (SDUI) represents a transformative architectural pattern in mobile application development that fundamentally changes how user interfaces are managed and delivered. By shifting UI control to the server side, organizations can achieve greater flexibility, faster iterations, and improved consistency across platforms. This architectural innovation enables dynamic updates without app store submissions, facilitates A/B testing, and streamlines cross-platform development while maintaining platform-specific design guidelines. The implementation success stories from major technology companies demonstrate SDUI's effectiveness in handling complex UI requirements, reducing development cycles, and enhancing user experiences across diverse platforms and market segments.
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Mucheroni, Marcos Luiz. "Interface Tesseracto UI and the Hologram." International Journal of Creative Interfaces and Computer Graphics 10, no. 1 (2019): 56–64. http://dx.doi.org/10.4018/ijcicg.2019010105.
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Building Tesseracto UI-type holographic interfaces is one step significant interaction in interfaces of computational devices with interaction in 3D. This follows the idea that the best user interface is no interface device, in the space of the hypercube and the fourth dimension. The contact device detects haptic interfaces, at the same time the touch in a free space as contact is made from fine ultrasonic sensors corresponding to the hologram images. The prototype was developed using the vertical and horizontal ultrasonic devices and a display hologram. The device is still in the testing phase, but the connection with the computer screens is already possible, in a prototype environment.
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Subhan, Subhan. "Analisis penerapan UI/UX dalam aplikasi media sosial: Dampaknya terhadap keterlibatan pengguna dan loyalitas platform." Jurnal Teknik Industri Terintegrasi 7, no. 4 (2024): 2128–37. https://doi.org/10.31004/jutin.v7i4.36161.
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This research focuses on applying UI/UX design principles in social media applications and analyzing their impact on user engagement and platform loyalty in the long term. With increasing competition among social media platforms, user experience has become a major determining factor in app success. This research explores how UI/UX elements such as efficient navigation structure, consistent visual aesthetics, interface responsiveness, and content personalization play a role in increasing user engagement, time spent on the app, and user intent to return to the platform. Using quantitative and qualitative approaches, data was collected through user surveys and analysis of behavioral data from several leading social media platforms. The research results show that optimal UI/UX design not only significantly influences user engagement levels, but also increases user loyalty, reduces churn rates, and increases retention in the long term. This study provides strategic recommendations for social media application developers in designing interfaces that support sustained engagement and positive user experiences
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Galindo-Losada, Julián, Carlos Ayala-Tipan, Marco Santórum, Mayra Carrión-Toro, and Patricia Acosta-Vargas. "WYDISWYG: A Method to Design User Interfaces Combining Design Principles and Quality Factors." Electronics 12, no. 13 (2023): 2772. http://dx.doi.org/10.3390/electronics12132772.
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The field of human–computer interaction is constantly evolving and facing new challenges. In this study, we propose an experimental method for designing e-commerce user interfaces with varying levels of aesthetics and usability while maintaining a similar level of user experience. The method is based on the Deming Cycle and Nielsen’s framework for design principles. Four e-commerce websites were designed with low/high levels of aesthetics and usability. Based on 160 surveys, the experimental results demonstrated that it is possible to design user interfaces with varying levels of aesthetics and usability while maintaining a similar level of user design perception. Our findings suggest that usability is more crucial than aesthetics in enhancing user experience, which aligns with previous studies. We also emphasize considering aesthetics and usability in UI design and propose the principle “What You Design Is What You Get” (WYDISWYG) as a foundation for future research. Among the evaluated websites, Website1 (the best design) achieved the highest UI quality, with users perceiving it positively at an impressive rate of almost 0.91 percent. In contrast, Website4 (the worst design) had the lowest UI quality, receiving a perception score of only 0.38 percent. The websites designed with a combination of aesthetics and usability, Website2 and Website3, garnered different perception values of 0.79 and 0.51, respectively. While this study has some limitations, such as the subjective selection of features and the focus on e-commerce websites only, it provides a starting point for further investigation into the selection of design principles, consideration of other website domains, and clarification of users’ perception of UI elements to align with Nielsen’s principles.
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B.K, Ms Sunitha. "The Impact of AI on Human Roles in the User Interface & User Experience Design Industry." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 03 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem29692.
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The ever-evolving field of User Interface & User Experience UI/UX design prioritizes creating user-friendly interfaces. Traditionally, this has been a human-centred process. However, Artificial Intelligence AI offers new possibilities for automating design tasks and leveraging data for user insights. This research paper delves into the potential impact of AI on UI/UX design. The core question is whether AI tools can effectively replace human designers in crafting user experiences. Alternatively, can AI work alongside designers to enhance their capabilities? This paper explores these questions through a review of existing research and proposes a research methodology to further investigate the topic. The literature review analyses how AI can be used for tasks like user behaviour analysis, A/B testing, and prototype generation. However, it also acknowledges AI's limitations in understanding user emotions, implementing creative solutions, and adapting to unforeseen user needs. The suggested research methodology will give a combined approach, making a review of existing literature with interviews from UI/UX professionals and a case study analyzing a design project utilising AI tools. By investigating the strengths and limitations of AI in design tasks, how AI can be integrated into the workflow, and the ethical considerations surrounding AI-driven design decisions, this research helps to provide a better understanding of the relationship between AI and human designers in the UI/UX field. The findings can inform design education, industry practices, and the development of future AI tools specifically tailored for UI/UX design applications. Keywords: UI/UX Design, Artificial Intelligence, Human-Computer Interaction, User Experience, User Interface, Design Automation
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Usachev, Artemy Yurievich. "Dynamically Generated Ui on Flutter." Russian Digital Libraries Journal 23, no. 5 (2020): 1093–103. http://dx.doi.org/10.26907/1562-5419-2020-23-5-1093-1103.
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The development team develops visual interfaces that satisfy the needs of all user groups and then distribute the new version of the product to all users. This article is aimed to propose the concept of a tool for generating dynamic screens, which can help to solve the following problems: adaptation of the application interface and quick release of updates.
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Wu, Xian, and Jenay M. Beer. "Usability Evaluation of Telepresence Interfaces for Older Adults." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 65, no. 1 (2021): 591–95. http://dx.doi.org/10.1177/1071181321651172.
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Telepresence has the potential to assist older adults to stay socially connected and to access telehealth. Telepresence was initially created for office use, thus the usability of telepresence for older adults remains unknown and there is a lack of design recommendations, particularly those with an emphasis on users’ age-related needs and limitations. To bridge the gap, this study assessed two telepresence user interfaces (UIs). One UI was designed to mimic common features founds in commercially available telepresence systems. Another UI was designed based on design guidelines for older adults. Each UI was integrated to a virtual driving environment created via Unity. To assess the usability of both UIs, thirty older adults participated in usability testing. Questionnaires and semi-structured interview were administered following each UI test sessions. Results of this study provide insight on what usability features are critical for the aging population to use telepresence, such as high color contrast, automated controls, and consistent icons.
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Xu, Yang, Yingchia Liu, Haosen Xu, and Hao Tan. "AI-Driven UX/UI Design: Empirical Research and Applications in FinTech." International Journal of Innovative Research in Computer Science and Technology 12, no. 4 (2024): 99–109. http://dx.doi.org/10.55524/ijircst.2024.12.4.16.
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This study explores the transformative impact of AI-driven UX/UI design in the FinTech sector, examining current practices, user preferences, and emerging trends. Through a mixed-methods approach, including surveys, interviews, and case studies, the research reveals significant adoption of AI technologies in FinTech UX/UI design, with 78% of surveyed companies implementing such solutions. Personalization emerges as a dominant trend, with 76% of FinTech apps utilizing AI for tailored user interfaces. The study demonstrates a strong correlation between AI-enhanced features and improved user engagement, with apps incorporating advanced AI features showing a 41% increase in daily active users. Ethical considerations, including data privacy and algorithmic bias, are addressed as critical challenges in AI implementation. The research contributes a conceptual framework for AI-driven UX/UI design in FinTech, synthesizing findings from diverse data sources. Future trends, including emotional AI and augmented reality integration, are explored. The study concludes that while AI-driven UX/UI design offers significant potential for enhancing user experiences in FinTech, balancing innovation with ethical considerations is crucial for responsible implementation and user trust.
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Ünlü, Sudenaz Ceren. "Enhancing User Experience through AI-Driven Personalization in User Interfaces." Human Computer Interaction 8, no. 1 (2024): 19. http://dx.doi.org/10.62802/m7mqmb52.
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Artificial intelligence (AI) has revolutionized user interface (UI) design by introducing personalization techniques that cater to individual user preferences, behaviors, and contexts. This research explores the integration of AI-driven personalization in user interfaces to enhance user experience (UX), focusing on adaptive design, predictive analytics, and real-time customization. By leveraging machine learning algorithms and behavioral data, AI enables interfaces to evolve dynamically, aligning with the unique needs of each user. This study investigates the role of personalization in improving engagement, satisfaction, and efficiency across various applications, such as e-commerce platforms, healthcare systems, and educational tools. Additionally, it examines the challenges of implementing personalized interfaces, including privacy concerns, data ethics, and algorithmic bias. By addressing these challenges, the research aims to develop best practices for ethical AI integration in user-centered design. The findings contribute to the growing body of knowledge on AI’s transformative potential in creating intuitive, efficient, and user-friendly interfaces, ultimately redefining the standards for digital interaction.
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Vukelja, Ljiljana, Klaus Opwis, and Lothar Müller. "A Case Study of User-Centred Design in Four Swiss RUP Projects." Advances in Human-Computer Interaction 2010 (2010): 1–10. http://dx.doi.org/10.1155/2010/329351.
Full textAbstract:
We analysed four Rational Unified Process (RUP) projects in Switzerland that identified themselves as following a user-centred approach. Grounded theory served for analysis of 12 interviews with software developers, project managers, and UI specialists. For each professional group we analysed their work context, motivations, work practices, and strategies used to overcome the obstacles to user-centred design. Results show that end users did not participate in the projects. Instead of working directly with end users, participants used data from marketing research or consulted colleagues from other departments. Prototypes played an important role. We suggest the following remedies: (1) developing methods for easy integration of existing company knowledge about products with usability features, (2) professionalising UI design by educating project stakeholders in standard UI design, (3) creating an approved pool of company's personas for UI specialists' work, and (4) educating customers on their right to get good user interfaces.