User Experience Design Research Articles

The Future Museum: Integrating Augmented Reality (AR) and Virtual-text with AI-enhanced Information Systems

This study examines how AR, virtual text, and AI in future museums affect visitor engagement, knowledge acquisition, emotional response, and social interaction. The study uses econometrics equations, text analysis, thematic qualitative data analysis, and agent-based modelling. The economic models show that virtual text type, depth of knowledge, personalization, accessibility options, and AR museum experiences increase visitor engagement, knowledge, emotional response, and social interaction. Thematic analysis displays visitor viewpoints such as AR curiosity, personalization, and cultural significance, while correlation matrices indicate their relationships. Bayesian econometrics, text analysis, thematic qualitative data analysis, and agent-based modelling are used to explore museum visitors' interactions with augmented reality, virtual text, and AI-enhanced information systems. These devices improve visitor engagement, social connection, emotional response, and information collection. Self-reported data biases, context biases, and rapid technological advancement limit the study. Museums can benefit from user-centric technology, AR, personalization, and cultural knowledge. The main findings reveal that these technologies significantly increase museum visitors, emphasizing that future museum administration and design must carefully adopt new technology. The findings may affect museum staff, designers, and decision-makers. Learning important technology factors improves AR, virtual text, and AI-enhanced information system design and deployment decisions. UX design prioritizes visitor choices, while immersive and integrated displays connect museum experiences. These practical implications force museums to actively and practically integrate technology to stay relevant. The project's findings, practical insights, and visitor experiences will improve future technological and cultural organisation research. The whole process contributes to the discussion on how emerging technologies affect museum experiences and innovation and decision-making in the ever-changing cultural heritage context.

We Have Spent Time, Money, and Effort Making Self-Help Digital Mental Health Interventions: Is Anyone Going to Come to the Party?

Although efficacious psychotherapies exist, a limited number of mental health care providers and significant demand make their accessibility a fundamental problem. Clinical researchers, funders, and investors alike have converged on self-help digital mental health interventions (self-help DMHIs) as a low-cost, low-burden, and broadly scalable solution to the global mental health burden. Consequently, exorbitant financial and time-based resources have been invested in developing, testing, and disseminating these interventions. However, the public's assumed desirability for self-help DMHIs by experts has largely proceeded without question. This commentary critically evaluates whether self-help DMHIs can, and will, reach their purported potential as a solution to the public burden of mental illness, with an emphasis on evaluating their real-world desirability. Our review finds that self-help DMHIs are often perceived as less desirable and credible than in-person treatments, with lower usage rates and, perhaps accordingly, clinical trials testing self-help DMHIs suffering from widespread recruitment challenges. We highlight two fundamental challenges that may be interfering with the desirability of, and engagement in, self-help DMHIs: (1) difficulty competing with technology companies that have advantages in resources, marketing, and user experience design (but may not be delivering evidence-based interventions) and (2) difficulty retaining (vs initially attracting) users. We discuss a range of potential solutions, including highlighting self-help DMHIs in public mental health awareness campaigns; public education about evidence-based interventions that can guide consumers to appropriate self-help DMHI selection; increased financial and expert support to clinical researchers for marketing, design, and user experience in self-help DMHI development; increased involvement of stakeholders in the design of self-help DMHIs; and investing in more research on ways to improve retention (versus initial engagement). We suggest that, through these efforts, self-help DMHIs may fully realize their promise for reducing the global burden of mental illness.

Exploring Existentialist Design in Digital Humanities

This paper examines the application of existentialist philosophical and hermeneutic principles to user experience design within the Digital Humanities Laboratory at the National Library of Norway (NLN). Over the past decade, the NLN DH Lab has evolved from organizing workshops on Jupyter Notebook tools to developing user-friendly applications tailored to streamline computer-mediated research on cultural heritage materials. Drawing from existentialist and hermeneutic philosophy, the paper explores how one these applications. “Kollokasjoner” (“Collocations”) 1) accommodates subjectivity, 2) embraces fluidity and multiplicity of meanings, and 3) facilitates independent interpretation and engagement with cultural heritage artifacts, or epistemic objects, visualizing layers of meaning in a simple and easy-to-understand way.

Developing a Design Guideline for a User-Friendly Home Energy-Saving Application That Aligns with User-Centered Design (UCD) Principles

Regarding issues with the majority of home energy-saving applications, the information is often too difficult for users to understand, and they struggle to comprehend communication via graphics or images displayed on the application’s screen. Furthermore, little is known about how users of home energy-saving applications behave. Therefore, this research aims to develop and evaluate a user-friendly design guideline for a home energy-saving application that applies four stages of User-Centered Design (UCD) processes. To identify significant issues and preliminary solutions, this research employed two rounds of co-creation activities involving nine experts and nine non-experts. Subsequently, an application prototype encompassing settings, about, home data, home assessment, and assessment summary was developed. The prototype underwent evaluation through an online questionnaire with 160 participants from four user groups, spanning expert and non-expert age groups. As a results from all four factors, the application received a mean score = 4.35 (good) from both non-experts and experts. This demonstrates that the prototype adopted with the guideline performed well in terms of User Experience, User Interface and User-Centered Design. This research provides developers and stakeholders with valuable guidelines to create applications or programs that are more efficient and user-friendly. This guideline is applicable to a wide range of sectors (eg, residential homes, workplaces, and educational institutions) and various domains (eg, Internet of Things (IoT), Home Energy Management Systems (HEMS), mobile applications, AI-Assisted in IoT-based Smart Microgrids). This would lead to the creation of applications that are easy for users to navigate and presentations that are impactful, ultimately helping to decrease energy usage and promote a more sustainable environment.

Blended and Collaboration-Based Learning Management Model to Enhance Mobile Website User Experience (UX) Design Skills

This study presents a collaborative learning model designed to enhance mobile website design skills with a focus on user experience (UX). The model, assessed by nine experts across utility, feasibility, propriety, and accuracy, demonstrates high-quality scores, reflecting substantial agreement and effectiveness. Specific strengths include the model’s adaptability to the curriculum (4.56) and its applicability to university students (4.44). Areas for improvement, with mean values of 3.89, highlight opportunities for refinement, particularly in the appropriateness of learning processes and the precision of details within activities. Synthesizing steps from cooperative, blended, and Project-Based Learning, the model aligns with Stufflebeam’s framework, emphasizing high feasibility, utility, propriety, and accuracy. Comparative insights with previous research validate its strength across diverse educational contexts. The model’s success, proven through evaluation and refinement, carries significant implications for education by enhancing both technical skills and a holistic understanding of user experiences in mobile web design. Despite acknowledged limitations, the collaborative learning model invites continued exploration and adaptation, ensuring its relevance in the evolving landscape of educational practices.

User Experience of a Large-Scale Smartphone-Based Observational Study in Multiple Sclerosis: Global, Open-Access, Digital-Only Study.

The Floodlight Open app is a digital health technology tool (DHTT) that comprises remote, smartphone sensor-based tests (daily activities) for assessing symptoms of multiple sclerosis (MS). User acquisition, engagement, and retention remain a barrier to successfully deploying such tools. This study aims to quantitatively and qualitatively investigate key user experience (UX) factors associated with the Floodlight Open app. Floodlight Open is a global, open-access, digital-only study designed to understand the drivers and barriers in deploying a DHTT in a naturalistic setting without supervision and onboarding by a clinician. Daily activities included tests assessing cognition (Information Processing Speed and Information Processing Speed Digit-Digit), hand-motor function (Pinching Test and Draw a Shape Test), and postural stability and gait (Static Balance Test, U-Turn Test, and Two-Minute Walk Test [2MWT]). All daily activities except the 2MWT were taken in a fixed sequence. Qualitative UX was studied through semistructured interviews in a substudy of US participants with MS. The quantitative UX analysis investigated the impact of new UX design features on user engagement and retention in US participants for 3 separate test series: all daily activities included in the fixed sequence (DA), all daily activities included in the fixed sequence except the Static Balance Test and U-Turn Test (DAx), and the 2MWT. The qualitative UX substudy (N=22) revealed the need for 2 new UX design features: a more seamless user journey during the activation process that eliminates the requirement of switching back and forth between the app and the email that the participants received upon registration, and configurable reminders and push notifications to help plan and remind the participants to complete their daily activities. Both UX design features were assessed in the quantitative UX analysis. Introducing the more seamless user journey (original user journey: n=608; more seamless user journey: n=481) improved the conversion rate of participants who enrolled in the study and proceeded to successfully activate the app from 53.9% (328/608) to 74.6% (359/481). Introducing reminders and push notifications (with reminders and notifications: n=350; without reminders and notifications: n=172) improved continuous usage time (proportion of participants with ≥3 consecutive days of usage: DA and DAx: ~30% vs ~12%; 2MWT: ~30% vs ~20%); test completion rates (maximum number of test series completed: DA: 279 vs 64; DAx: 283 vs 126; 2MWT: 302 vs 76); and user retention rates (at day 30: DA: 53/172, 30.8% vs 34/350, 9.7%; DAx: 53/172, 30.8% vs 60/350, 17.1%; 2MWT: 39/172, 22.6% vs 22/350, 6.2%). Inactivity times remained comparable. The remote assessment of MS with DHTTs is a relatively nascent but growing field of research. The continued assessment and improvement of UX design features can play a crucial role in the successful long-term adoption of new DHTTs.

MyUEVision: an application generating image caption for assisting visually impaired people

PurposeVisually impaired people usually struggle with doing daily tasks due to a lack of visual cues. For image captioning assistive applications, most applications require an Internet connection for the image captioning generation function to work properly. In this study, we developed MyUEVision, an application that assists visually impaired people by generating image captions that can work with and without the Internet. This work also involves reviewing some image captioning models for this application.Design/methodology/approachThe author has selected and experimented with three image captioning models for online models and two image captioning models for offline models. The user experience (UX) design was designed based on the problems faced by visually impaired users when using mobile applications. The application is developed for the Android platform, and the offline model is integrated into the application for the image captioning generation function to work offline.FindingsAfter conducting experiments for selecting online and offline models, ExpansionNet V2 is chosen for the online model and VGG16 + long short-term memory (LSTM) is chosen for the offline model. The application is then developed and assessed, and the results show that the application can generate image captions with or without the Internet, providing the best result when having an Internet connection, and the image is captured in good lighting with a few objects.Originality/valueMyUEVision stands out for its both online and offline functionality. This approach ensures the image captioning generator works with or without the Internet, setting it apart as a unique solution to address the needs of visually impaired individuals.

Designing AR Interfaces for Enhanced User Experience

Augmented Reality (AR) interfaces are transforming biological education and research by providing immersive and interactive learning environments that increase user engagement and learning results. This study analyzes the use of augmented reality (AR) technology in biological sciences, highlighting the importance of User Experience (UX) design concepts in improving AR interfaces for educational effectiveness. The research provides a comprehensive overview of designing AR interfaces tailored to biological education, highlighting intuitive navigation, interactive feedback mechanisms, and personalized learning experiences. By examining current advancements and future trends in AR technology, the paper identifies key opportunities for innovation in educational settings. A poll of sixty students was conducted to collect data on demographics, AR usage experience, educational efficacy, user satisfaction, and perceived advantageous features. The data indicate that AR is well-received, with high scores for simulation realism, ease of use, and engagement. This lecture finishes by bringing together information about augmented reality's transformative potential in biology education and research. It proposes avenues for further research and development to harness the full capabilities of AR technology, shaping the future of learning in the biological sciences.

Innovative Applications of Intelligent Technology in Infant Care Products: A Study on the Design of Bottle Warmers and Milk Warmers

This paper delves into the innovative application of intelligent technology in the design of infant care products, with a particular focus on the design of smart bottle warmers and milk warmers, and their impact on user experience. The study begins by analyzing the current market demands and limitations of existing products in the field of infant care products, followed by a detailed discussion of the design features, technological advantages, and user experience of HAUTURE brand products. Through an in-depth analysis of the temperature control technology of the smart bottle warmer, the user interface design, and the dual-sealing system and vibration reduction and noise reduction technology of the milk warmer, this paper reveals how intelligent technology enhances product performance and user satisfaction. In addition, this paper examines the role of user feedback in product design improvement and proposes solutions to technical challenges. Finally, it provides an outlook on the future development trends of intelligent infant care products, predicting how intelligent technology will further shape innovation in this field.

AI 스피커 제품의 디자인 및 사용성에 관한 연구 - 중국의 시장환경과 사용자 중심으로

This study highlights the potential of AI technology as a key driver of the Fourth Industrial Revolution, particukarly in transformig consumer habits around audio devices and creating interconnected smart home environments. It explores how AI can enhance user experience and human-machine interaction in product design, increasing the convenience and appeal of electronic audio devices. The paper also analyzes the impact of AI on product optimization, innovation, and market competitiveness, providing insights into the future of the smart audio device industry.

Autonomous DRT Shuttle Usability Proposal based on User Experience(UX) Design Scenario

Autonomous DRT Shuttle Usability Proposal based on User Experience(UX) Design Scenario

Leveraging UX design and prototyping in agile development: A business analyst’s perspective

Leveraging UX design and prototyping in agile development: A business analyst’s perspective

The Effectiveness of Flipbook-Based Learning Media Using Problem-Based Learning on Students’ Interest in UX Design Course

The Effectiveness of Flipbook-Based Learning Media Using Problem-Based Learning on Students’ Interest in UX Design Course

Enhancing User Experience in Small Academic Libraries: Leveraging Matomo Analytics as a UX Design Tool

Enhancing User Experience in Small Academic Libraries: Leveraging Matomo Analytics as a UX Design Tool

Ecofy App UX Design using User-Centered Design Approach for Waste Management

Ecofy App UX Design using User-Centered Design Approach for Waste Management

Research on User Experience and Innovation in Ceramic Design

Research on User Experience and Innovation in Ceramic Design

Conquering Digital Marketing: Powerful Strategies for Accelerating Business Growth

Understanding digital marketing tactics is now crucial for company expansion in the digital age due to the quickly changing technology landscape. This study investigates the efficacy of modern digital marketing strategies with an emphasis on how they support significant company growth. This study is significant because it offers practical advice on how to use data analytics, customization, and cutting-edge technology like machine learning and artificial intelligence to maximize digital marketing initiatives. The main goal of this study is to determine and evaluate the best digital marketing tactics that spur company expansion. Using a thorough literature review methodology, the study assesses the effects of different digital marketing methods on business performance by looking through contemporary academic sources. Important results show that cross-channel and multi-channel marketing techniques greatly improve brand coherence and consumer engagement. Enhancing targeting accuracy and campaign efficacy requires the use of data analytics and artificial intelligence capabilities. While ethical principles and digital transformation are essential for maintaining consumer trust and competitive advantage, personalization and customer feedback integration play a critical role in driving engagement and conversion rates. Furthermore, social media, influencer marketing, and strong content tactics work well to increase brand awareness and adherence. Strategic agility is ensured by remaining up to date with emerging trends, and marketing outcomes are further enhanced through optimization of conversion rates and user experience design. These findings' implications imply that companies should take a multifaceted strategy to digital marketing, including cutting-edge technologies and emphasizing ethical and personalized practices. It is advised to use multi-channel marketing techniques, make use of AI and data analytics, prioritize ethical marketing, and continuously improve user experience and content. Future studies ought to investigate how new digital trends—like gamification and behavioral targeting—affect the efficiency of marketing campaigns and the expansion of companies. In addition to offering a foundation for companies hoping to succeed in the cutthroat digital economy, this research advances our understanding of successful digital marketing tactics.

User Experience Design for Intensive Care Alarm Management.

Alarm fatigue is a pressing issue in intensive care units. Based on user experience design, including clinical shadowings and feedback loops, we developed a prototype for a redesigned patient monitor: The prototype moves away from today's threshold-based alarm systems. It combines a sleek design with machine learning driven clinical insights to mitigate alarm fatigue.

Understanding the perception of design students towards ChatGPT

The benefits of artificial intelligence (AI)-enabled language models, such as ChatGPT, have contributed to their growing popularity in education. However, there is currently a lack of evidence regarding the perception of ChatGPT, specifically among design students. This study aimed to understand the product design (PD) and user experience design (UXD) students' views on ChatGPT and focused on an Indian university. The study employed a survey research design, utilizing questionnaires as the primary data collection method. The collected data (n = 149) was analyzed using descriptive statistics (i.e., frequency, percentage, average, and standard deviation (SD). Inferential statistics (i.e., one-way ANOVA) was used to understand the significant differences between the programs of study, gender, and academic level. The findings indicate that the students expressed admiration for the capabilities of ChatGPT and found it to be an interesting and helpful tool for their studies. In addition, the students' motivation towards using ChatGPT was moderate. Furthermore, the study observed significant differences between PD and UXD students and differences based on gender and academic level on certain variables. Notably, UXD students reported that ChatGPT does not understand their questions well, and formulating effective prompts for the tool was more challenging than for PD students. Based on the findings, the study recommends how educators should consider integrating ChatGPT into design education curricula and pedagogical practices. The insights aim to contribute to refining the use of ChatGPT in educational settings and exploring avenues for improving its effectiveness, ultimately advancing the field of AI in design education.

Decorative wood veneers as a medium for contemporary design: A review

The use of decorative wood veneers in contemporary design is increasingly emphasized as society becomes more aware of quality of life and environmental protection. This article explores in detail four key aspects of decorative wood veneers as a contemporary design medium: visual perceptual elements, multisensory interaction, sustainability and environmental impact, and technology and innovation. Through its unique aesthetic attributes and multisensory experience, decorative wood veneers enhance the aesthetics and user experience of interior design, respond to the global trend of sustainability, and promote innovation and environmental responsibility in the design industry through the use of environmentally friendly materials and advanced technologies. This article aims to provide insights for designers, researchers and related industries to stimulate further exploration of the application of decorative wood veneers in design innovation.