User Experience Design Research Articles

Trends in Modern Typography Design: Visual Preferences on E-Commerce Platforms

In the digital era, typography design has become a fundamental element in shaping the visual identity and user experience of e-commerce platforms. Modern typography trends like minimalism, variable fonts, and responsive typography reflect a dynamic evolution aligned with user preferences and technological advancements. However, limited research addresses how typography influences users' visual preferences and engagement in the e-commerce context. This study aims to explore modern typography trends and their impact on user preferences while identifying elements that drive effective visual communication. To achieve these objectives, the research employs a mixed-method approach. A visual content analysis was conducted on typography used by leading e-commerce platforms, such as Amazon, Shopee, and Tokopedia, to identify prevailing design trends. A survey involving 150 active e-commerce users was conducted to understand their perceptions and preferences regarding typography design. Quantitative data from the survey were analyzed using statistical methods, while qualitative insights were interpreted to provide context. The results reveal that users prefer sans-serif fonts and minimalist designs due to their clarity, readability, and modern appeal. Variable fonts and dynamic typographic layouts were also noted for their ability to enhance engagement, though these trends appeal primarily to younger audiences. This study concludes that typography significantly influences user perception and interaction within e-commerce platforms. The findings contribute to the field of user experience design by offering actionable insights for designers and developers, aiming to create visually appealing and user-centered platforms.

Designing User Experience for a Mobile Application for Agricultural Product Marketing Using the Human-Centered Design Method

This research explores the application of Human-Centered Design (HCD) in developing a mobile application for agricultural product marketing, aiming to address critical challenges faced by farmers, such as limited market access and inconsistent internet connectivity. By involving farmers and consumers in each stage of the design process, the application was iteratively improved based on user feedback. The study implemented low-fidelity and high-fidelity prototyping, with five iterations of user testing to enhance usability, navigation, and accessibility. Results show a significant increase in task success rates, user satisfaction, and application efficiency, mainly by including offline features for users in areas with poor internet infrastructure. The study also highlights the effectiveness of HCD in adapting technology to local conditions, offering a practical solution that supports the digital transformation of the agricultural sector, particularly in rural areas. This research contributes to the literature by demonstrating that HCD can be effectively used to develop user-friendly applications that meet the specific needs of the agricultural community

Engaging Teens in History through a Mobile Game Utilizing the Fisher-Yates Shuffle Algorithm and Honeycomb UX Design

Engaging Teens in History through a Mobile Game Utilizing the Fisher-Yates Shuffle Algorithm and Honeycomb UX Design

Breaking Barriers: The Design and Development of an Assistive Technology Web App for Older Latinos with Disabilities in Daily Activities

Latinos are among the populations who are the least likely to use assistive technology (AT) despite being a population with a high prevalence of functional disabilities (FDs). We aimed to create and test the usability of an AT web app for independent-living older adults with FDs. In Phase I, we created the web app’s content guided by the Optimized Honeycomb Model and considered the AT needs and FDs of older Puerto Ricans found in our previous studies. In Phase II, we design the web application by adopting a Lean UX process and design heuristics for older adults. In Phase III, we conducted usability testing using focus groups and individual interviews with 14 older adults, interpreted through a directed content analysis. The Mi Guía de Asistencia Tecnológica (MGAT) was developed with ninety-four AT devices in eight areas of daily activities. The MGAT provides comprehensive information on AT, including photos and videos of older adults using AT. Participants reported that the MGAT was usable, accessible, credible, desirable, useful, and valuable in increasing their knowledge of AT. These findings are a foundation for developing efficient AT information strategies using such technology as a first step to improving AT adoption among older adults.

Research on the Design of WeChat Applet of Persimmon Dye Culture from The Perspective of Scenario Construction

With the rapid development of information technology, the dissemination and preservation of traditional culture face new opportunities and challenges. This study aims to explore design strategies for a WeChat Mini Program focused on persimmon dyeing culture, to promote the inheritance and development of this intangible cultural heritage. Through user needs analysis, a user experience design framework based on contextual theory was constructed, and a Mini Program was developed that integrates cultural display, education, community interaction, and immersive experiences. The results highlight the importance of contextual construction in enhancing cultural experiences and user engagement, providing a reference for the digital transformation of other traditional cultures. The study explores the characteristics and direction of contextual construction in the design of the persimmon dyeing Mini Program, introduces key points in the program's development, and analyzes its current state and future development trends, offering support for the growth of persimmon dyeing traditional culture.

Exploring the application of LLM-based AI in UX design: an empirical case study of ChatGPT

ABSTRACT Large language model (LLM) based AI applications are being rapidly adopted by various creativity-related sectors, including UX design. However, as newly emerged applications, how UX designers work with LLMs and how to optimize the benefits of LLMs in UX design remain unclear. Leveraging the widely adopted LLM application ChatGPT as a case study, we recruited 12 experienced frontline UX practitioners from IT companies to use ChatGPT in their everyday design activities for 4 to 6 weeks. Through use logs, questionnaires, and interviews, we collected participants’ usage and reflection data. Our analysis reveals the different functions of ChatGPT in facilitating UX design, such as offering design guidelines, constructing user profiles, and simulating stakeholders. Challenges also emerged, such as limitations in understanding complex design problems and prototyping design ideas. Based on the findings, we reflect on the working dynamics between human workers and AI tools and suggest implications for designing more usable LLM-based AI applications.

Challenges and Responsibilities in the UX Design of Text-to-Image AI Models: A Discussion Through a Comparative Heuristics Evaluation

The rapid advancement and adoption of generative AI in creative and professional domains mark a significant evolution in technological interaction, raising pivotal discussions on its integration, usability and broader societal impact. This paper delves into the multifaceted challenges and opportunities presented by generative AI, focusing in particular on text-to-image tools and their integration into daily work practices of artists, designers, architects and researchers. As these creators increasingly incorporate AI's inherent unpredictability and ambiguity into their work, a critical examination of the ethical, legislative and environmental implications becomes imperative. We highlight how the User Experience (UX) and User Interface (UI) aspects of these groundbreaking technologies remain mostly underexplored. UX pioneer Jakob Nielsen has recently warned that professionals in the field must adapt to the fast-paced advancements in AI or become obsolete for an industry that is becoming pivotal in the contemporary creative field. He draws a parallel between the current AI era and the dot-com boom of the 1990s, highlighting how UX professionals were slow to adapt to the Internet, which led to missed opportunities and a lack of user-centred design. Consequently, the usability of generative AI tools is a paramount concern, especially as non-expert users increasingly engage with these systems. This paper explores the usability challenges, specifically the articulation barrier where users struggle to effectively communicate prompts to AI, and the consequent need for more intuitive and accessible interfaces. Through comparative analysis and a heuristic evaluation of four leading models, i.e. Midjourney, Dall.E, Stable Diffusion and Adobe Firefly, which presents a unique case study for comparison due to their divergent UI and UX elements, we aim to provide insights into the current state of AI tools and propose pathways for their responsible and effective use.

AI assistance in enterprise UX design workflows: enhancing design brief creation for designers.

The study explores the impact of AI tools on the daily tasks of designers in corporate environments, with a focus on the creation and evaluation processes of design briefs. Given ChatGPT's advanced natural language processing capabilities and its potential to meet the complex communication and analysis needs of design work, this tool was selected to investigate its application in designers' workflows. Through expert interviews, experimental testing, and third-party expert evaluations, we collected and analyzed data to understand the impact of AI on work processes. The findings indicate that AI tools significantly enhance both operational experience and subjective perceptions across most tasks. Additionally, the study provides a visual comparison of the testing process through a user experience map, highlighting AI's positive influence on work efficiency, information retrieval, verification, analysis, communication, and decision-making. However, challenges remain in ensuring information authenticity, protecting content copyright, and maintaining professional identity. The primary objective is to gain a comprehensive understanding of the current state of AI application in business contexts and its impact on designers' roles. By analyzing real-world feedback, the research aims to identify the strengths and weaknesses of AI solutions in enterprises and offer practical recommendations. The study underscores the importance of integrating AI thinking into workflows and adopting a human-centric approach for the future development of corporate work environments.

Exploring the Role of AI in UX Research

Presently, artificial intelligence (AI) is primarily utilized in user experience (UX) research for handling routine tasks like text conversion (e.g., transcription, survey preparation) to manage large volumes of data efficiently. However, its potential as a collaborative partner in generating ideas and insights remains largely untapped, possibly due to the limited AI education among UX researchers. There is a recognized need to enhance AI literacy among Human-Computer Interaction (HCI) students to effectively utilize AI tools in UX research for an AI-driven future. Despite its growing importance, the integration of AI literacy into HCI curricula remains insufficient. This study aims to explore AI’s potential in addressing current challenges in UX research and assess UX researchers’ readiness to adopt AI tools. Through in-depth interviews with five early-career UX researchers, it examined their experiences, challenges, and perspectives on integrating AI. Thematic analysis of the interview data uncovers insights, revealing that AI has significant potential to overcome challenges in collecting, interpreting, and synthesizing qualitative data, as well as in translating user needs into design concepts. The findings are intended to inform strategies for incorporating AI literacy into HCI education, aligning with industry demands for AI-enabled expertise in UX design.

HCI Teaching and Learning Model Using Studio-Based Learning

This research explores Studio-based Learning (SBL) within Human-Computer Interaction (HCI) subjects, focusing on the crucial elements required in the design of maker spaces to enhance user experience (UX) design education. As HCI becomes increasingly complex and interdisciplinary, traditional classroom settings often fail to provide the required experiential learning environment for certain subjects. Our study examines various subjects in the discipline, highlighting diverse interactivity requirements and the potential of Studio-based Learning to effectively address students' and staff’s needs. We analyse the impact of studio settings on the learning outcomes and expectations of students, especially in fostering creativity, collaboration, and hands-on engagement. Our research findings indicate that studio-based classrooms significantly improve student learning experiences in interactive and practical subjects, although effective planning around space and time constraints can impede its full implementation.

The Impact of User Aesthetics on UI Design: Exploring Design Preferences in China's Sinking Markets vs. Tier 1 and Tier 2 Cities

The purpose of this paper is to explore the impact of the aesthetics of users in China's sinking - market and those in first - and second - tier cities on UI design. This research will conduct a case analysis through a series of typical e - commerce platforms in China. By distinguishing among user experience, cognitive burden, and emotional design, it summarizes what the aesthetic differences are among different market groups, what factors cause these differences, and the impact of these differences on UI design.

Empirical methods for enhancing user experience in human-computer interaction design with digital media integration

Abstract. This study rigorously examines the application of empirical methodologies aimed at augmenting the user experience (UX) within the domain of human-computer interaction (HCI) design, with a pronounced emphasis on the seamless integration of digital media. In an era where digital media intricately intertwines with our daily lives, crafting interfaces that are both intuitive and engaging is becoming increasingly essential. This paper embarks on an in-depth analysis of a variety of empirical research techniques, including but not limited to, user studies, A/B testing, and comprehensive analytics. These methodologies are pivotal in providing critical insights and feedback that inform and refine the HCI design process. By judiciously incorporating these empirical methods throughout the design and development phases of digital media applications, designers and developers are equipped to forge more effective, accessible, and immersive user experiences. This approach ensures that digital media interfaces are not only functional but also highly engaging and responsive to user needs and preferences. The research findings underscore the critical role of user-centered design practices in significantly enhancing user engagement, satisfaction, and usability. It emphasizes that understanding the end-user's perspective and integrating their feedback into the design process is fundamental in creating digital media interfaces that resonate with users. Through a detailed exploration of these empirical methods, the study provides a comprehensive framework for improving digital media experiences, highlighting the necessity for a synergistic approach to HCI design that prioritizes user satisfaction and usability. This body of work contributes valuable insights into the ongoing discourse on the optimization of digital media interfaces through empirically informed design strategies, advocating for a user-centric approach in the rapidly evolving landscape of digital media technology..

Analyzing Collaborative Challenges and Needs of UX Practitioners when Designing with AI/ML

UX designers and researchers who work with AI/ML face different kinds of challenges throughout the design process. Though close collaborations with AI/ML developers and data scientists could address some of these challenges, such interdisciplinary collaborations are non-routine and hard to realize. In this work, we investigate barriers for effective collaboration with ML practitioners, how they affect UX practice of AI/ML applications, and what UX practitioners need to overcome these challenges. We conducted a qualitative study with 14 UX practitioners who are working on AI/ML products as designers or researchers. Our findings show that UX practitioners face challenges in communication, understanding the model and model development processes, establishing ways to collaborate, and reconciling model-centric metrics of evaluation with user-centric outcomes. They described various needs in terms of more visibility into model development processes, access to comprehensible and contextual model information, and hypothetical tools that can potentially support collaboration with ML practitioners and enhance UX design processes. We discuss implications of this research for designing collaborative tools and empowering UX practitioners.

InclusiveWeb : A Smart Browser Approach to Enhancing Web Accessibility for Users with Diverse Disabilities

This article presents InclusiveWeb, an innovative accessibility-focused web browser designed to enhance digital inclusion for users with diverse disabilities. The browser addresses the persistent challenge of widespread non-compliance with web accessibility standards by implementing real-time content adaptation mechanisms, disability-specific tools, and a highly customizable user interface. InclusiveWeb's architecture incorporates advanced machine learning algorithms to dynamically modify web content, offering tailored solutions for users with visual impairments, dyslexia, language disorders, cognitive disabilities, and ADHD. The article details the browser's design principles, technical considerations, and user experience features, supported by a comprehensive evaluation methodology involving user studies with various disability groups. Results demonstrate significant improvements in task completion rates, user satisfaction, and overall accessibility compared to standard browsers. While acknowledging limitations and areas for future research, this article highlights InclusiveWeb's potential to revolutionize web accessibility, shifting the paradigm from reliance on content creators' compliance to browser-level adaptations. The implications of this approach for web accessibility standards, digital inclusion, and future technological developments are discussed, emphasizing the browser's role in creating a more equitable digital landscape.

Research Driven by User Demand for the Design of a Cross-Border Travel Credential Bag

Cross-border travel often presents challenges in document storage, which can burden travelers. This study addresses the issue by designing a credential bag that enhances safety, convenience, and environmental sustainability. Utilizing design research, we applied the KANO model to categorize user needs, employed analytic hierarchy process to prioritize these needs, and used quality functional deployment to translate them into specific design elements. The KANO model has identified a total of 18 demand indicators, including “must-be”, one-dimensional, and attractive. An analytic hierarchy process analysis of the secondary indicators found that demands for the security of anti-theft, partition storage of documents, a variety of carrying methods and green sustainability have relatively high weight. The innovative solutions derived from the KANO-AHP-QFD model improve design practices and user experience in document storage. This approach offers a scientific and practical reference for the sustainable development of travel supplies and the luggage industry.

Data-Driven Personalization : Revolutionizing User Experience

Data-driven personalization has emerged as a transformative approach in digital user experience design, leveraging advanced analytics and machine learning to tailor content and interfaces to individual users. This article explores five key aspects of data-driven personalization: user behavior analysis, segmentation and targeting, machine learning algorithms, real-time adaptation, and privacy and ethical considerations. It examines the significant impact of personalization on business outcomes, including increased revenue and customer engagement, while also addressing implementation challenges, such as technological complexity and privacy concerns. The article provides insights into the methodologies, processes, and best practices for effective personalization, supported by industry statistics and case studies, offering a comprehensive overview of how organizations can harness this powerful approach to create more engaging, relevant, and effective digital experiences.

Designing UI and UX Design in GenApp Application Using Design Thinking Method

This research aims to create an ARBook learning application design for high school students on genetic material. Today's growing technology has affected various fields, one of which is education. Generation Z is a generation that understands and is literate in technology. High school students born in Generation Z have characteristics that tend to like technology, are smart, open, and like to express themselves. To attract students' interest in learning, there needs to be media used by utilizing technology. It is necessary to understand the characteristics of students when making learning media design. The method used in this research is the design thinking method, which has five stages: emphasize, define, ideate, prototype, and test. This research produces an ARBook GenApp application design that suits the characteristics of Generation Z students. The test results from the student response trial obtained good results of 89.17%, which were included in the very feasible criteria.

Enhancing User Engagement and Retention in Fintech: Research on Effective User Experience Strategies and Design Principles

The financial technology (fintech) sector has experienced significant growth in recent years, driven by technological advancements and changing consumer expectations. This research paper explores effective user experience (UX) strategies and design principles that enhance user engagement and retention in fintech applications. Through a combination of qualitative and quantitative methodologies, this study examines the impact of specific UX elements on user behavior and retention rates. The findings suggest that a user - centered approach to design, incorporating elements such as simplicity, personalization, and responsive design, significantly improves user satisfaction and loyalty in the fintech sector.

Home-Based, Low-Intensity, Gamification-Based, Interactive Physical-Cognitive Training for Older Adults Using the ADDIE Model: Design, Development, and Evaluation of User Experience.

Declines in physical and cognitive function are natural biological processes, leading to an increased risk of falls. Promising evidence suggests that combined physical-cognitive exercise has beneficial effects in improving both physical and cognitive health. Although moderate-to-high exercise intensity is commonly recommended, it might be impractical for older adults facing physical limitations or contraindications. Thus, low-intensity exercise is a viable option. The main barriers to engaging in exercise in older adults include transportation, time, motivation, and enjoyment. To overcome these challenges, a home-based, gamification-based training system may provide an effective approach to enhance exercise adherence. This study aimed to develop and evaluate the usability of a low-intensity, gamification-based, interactive physical-cognitive exercise for older adults in a home-based setting. The prototype of a game-based physical-cognitive exercise was created following the ADDIE model (analysis, design, development, implementation, and evaluation) and assessed for user experience in older adults. A total of 15 older adults engaged in the game-based physical-cognitive exercise at home for 60 minutes per day, 3 days per week, for 4 weeks. The usability of the game-based training system was evaluated using the system usability scale (SUS) after completion of a 4-week training program. As for satisfaction, the 8-item Physical Activity Enjoyment Scale (PACES) questionnaire was used to assess participants' enjoyment level after 1 week and 4 weeks of training. Descriptive statistics were used to illustrate the SUS score. A Wilcoxon signed-rank test was used to compare the PACES scores between the first week and the end of the 4-week period, with significance set at P<.05. As for experts' consensus, the game-based training consisted of 3 games: Ocean Diver, Road Runner, and Moving and Memorizing. The games had 3 levels of difficulty: beginner, intermediate, and advanced. A computer vision-based system was selected as the delivery platform for a home setting. The total SUS score for all participants was mean 87.22 (SD 5.76), indicating the user's perception of the usability of a system ranging from good to excellent. At the end of the 4-week training, the total PACES score was significantly greater than the first week, suggesting an improvement in enjoyment (first week: mean 44.93, SD 3.99 vs fourth week: mean 50.53, SD 4.70; P=.001). The prototype of low-intensity, gamification-based, interactive physical-cognitive training was designed and developed using the ADDIE model, which included both experts and end users in the process. The findings showed that the exergame prototype was a usable and practical approach for a home-based setting, enhancing older adults' enjoyment and motivation. Further research is warranted to determine the effectiveness of such gamification-based training in promoting physical and cognitive functions.

Artificial Intelligence, Transformation and Expectations in Graphic Design Processes

Artificial intelligence (AI), as the pioneer of today's technological advances, brings innovation to many sectors and graphic design is among these sectors. Within the rapidly developing technology of our age, the integration of AI technologies into the field of graphic design provides a significant acceleration in design processes. In this context, it is predicted that the use of AI in this field contributes to accelerate design processes, increase efficiency and improve user experience and interactive design. Additionally, the research examines the current and potential status. The study adopts qualitative methods of comparative analysis and logical reasoning and is limited to the reviewed literature and studies reviewed.The findings show that AI-assisted graphic design tools accelerate design processes, increase efficiency and enable more creative solutions. The results show that AI-supported graphic design tools accelerate design processes, increase efficiency and enable more creative solutions.