Optimal User Experience Research Articles

A Review on Mixed Reality Operating Systems : Current Trends, Challenges and Prospects

This comprehensive article explores the rapidly evolving landscape of Mixed Reality (MR) operating systems, examining their core functionalities, architectural components, and the cutting-edge trends shaping their development. The article provides an in-depth analysis of the challenges facing MR OS developers, including interoperability, scalability, and user experience optimization, while offering insights into potential solutions. A comparative article of leading MR platforms highlights the diverse approaches and capabilities within the current ecosystem. The article delves into future prospects, discussing the integration of artificial intelligence, advanced user interaction paradigms, and their potential impact across various industries. Additionally, it addresses strategies for overcoming current limitations and explores the broader implications of MR technology on society, including ethical considerations and privacy concerns. By synthesizing current research and industry developments, this paper offers a comprehensive overview of the state of MR operating systems, their potential applications, and the transformative role they are poised to play in shaping human-computer interaction and digital experiences. The article concludes by emphasizing the critical importance of continued innovation in MR operating systems for advancing the field and realizing the full potential of mixed reality technology in both personal and professional domains.

Study on Impact of Neuroeconomics Tactics used by Streaming Services Companies (Eg. Netflix, Spotify) on Genz's Purchase Intentions in Ahmedabad City

This paper reflects on how the neuroeconomics strategies employed by streaming companies, like Netflix and Spotify, affect Generation Z's purchasing intentions in Ahmedabad City. Neuroeconomics endeavors to be an integrative science that explains how neuroscience and psychology will intervene in or complement economics to develop knowledge about understanding consumer decision-making processes and those factors that influence buying behavior. Having established such neuroeconomic theories, streaming service companies then hunt them under the guise of optimized user experience with visual and auditory stimuli and tailored recommendations to keep the user interested and waiting for another subscription or purchase. The effects of such strategies are pretty important to understand for the Gen Z audience - a bunch of kids known for their tech-savvy nature and instant gratification. This paper investigates how streaming applications make use of cognitive biases arising from loss aversion to dopamine-driven reward systems and social proof influencing the buying behavior of young consumers. A mixed method approach was used on a representative sample of Gen Z youths by surveys and interviews in Ahmedabad to collect the data. Overall, the findings from this study are expected to be very informative on how neuroeconomic strategies will or will not impact the consumption behavior of Gen Z in the streaming industry. This would be followed by actionable recommendations for companies about how they can maximize their marketing efforts to resonate more effectively with this emergent market going forward. As neuroeconomics and consumer behavior begin to intermix, streaming services stand to increase users' engagement, amplify sales, and cultivate long-term customer loyalty with Gen Z among urban India.

Assessment of digital literacy and user experience in patients with cochlear implants

Abstract Introduction The cochlear implant (CI) is the treatment of choice for people affected by deafness or profound hearing loss. Patients with cochlear implants (PwCIs) can enhance their hearing outcomes using digital hearing training programs (dHTPs). Current technological trends leans towards personalized, AI-driven dHTPs, aiming to optimize user experience (UX) and adherence. This study aims to investigate the digital literacy skills and UX of PwCI before and after testing a prototype of a dHTP with an AI-driven design (TraiCI). Methods Two research-specific questionnaires developed by the Hearing Center Düsseldorf (QDL and QUX) were used to assess digital literacy skills and user experience in TraiCI. Additionally, the User Experience Questionnaire (UEQ) was employed to evaluate general user experience. The UEQ assesses software quality across dimensions such as transparency and stimulation using paired opposites. Results 22 outpatient PwCIs the Hearing Center Düsseldorf with unilateral or bilateral CI (mean age 54 years; SD = 15) were included. In QDL, PmCI demonstrated high levels of digital literacy skills. The majority of PmCI (80.6%) reported prior experience with dHTP. Usage of these programs occurred daily to multiple times per week within the first six months after CI treatment, with session durations predominantly ranging from 10 to 30 minutes. QUX data indicated a smooth initiation process (70.8%) and seamless login experience (95.5%). The UEQ addressed various aspects of user experience, with ‘transparency’ receiving the highest scores (MW = 1.9; SD = 0.6), while ‘stimulation’ received the least positive ratings (MW = 0.0; SD = 2.1). Conclusions The results show a high degree of digital literacy among PwCIs. They encountered minimal challenges in operating hardware and software components. Further refinement is necessary to align with PwCI’s expectations and maximize benefits. Early and iterative involvement of PwCIs in future projects could optimize outcomes. Key messages • The study highlights the proficient digital literacy skills of cochlear implant patients (PwCIs). • Further refinement of dHTPs is needed to better align with PwCIs’ expectations and maximize benefits, emphasizing the importance of iterative involvement for optimized outcomes.

Reshaping the Sound Landscape: The Application and Development of AI in the Sound Creation of Chinese Podcasts in the Era of Intelligent Media

With the rapid development of intelligent media technology, AI has greatly enriched the creation means and expression forms of Chinese podcasts and reshaped the diversity and personalization of speech synthesis, audio editing and content generation, through the diversity and personalization of sound landscape. Through the specific application cases of AI in the creation of Chinese podcast voice, this paper analyzes its positive effects in improving the efficiency of creation, optimizing user experience and promoting the development of the industry, and looks forward to the future development trend and challenges, aiming to provide valuable reference and inspiration for the development of the field of Chinese podcast

Intentional or Designed? The Impact of Stance Attribution on Cognitive Processing of Generative AI Service Failures.

With the rapid expansion of the generative AI market, conducting in-depth research on cognitive conflicts in human-computer interaction is crucial for optimizing user experience and improving the quality of interactions with AI systems. However, existing studies insufficiently explore the role of user cognitive conflicts and the explanation of stance attribution in the design of human-computer interactions. This research, grounded in mental models theory and employing an improved version of the oddball paradigm, utilizes Event-Related Spectral Perturbations (ERSP) and functional connectivity analysis to reveal how task types and stance attribution explanations in generative AI influence users' unconscious cognitive processing mechanisms during service failures. The results indicate that under design stance explanations, the ERSP and Phase Locking Value (PLV) in the theta frequency band were significantly lower for emotional task failures than mechanical task failures. In the case of emotional task failures, the ERSP and PLV in the theta frequency band induced by intentional stance explanations were significantly higher than those induced by design stance explanations. This study found that stance attribution explanations profoundly affect users' mental models of AI, which determine their responses to service failure.

The Design and Implementation of Personalized Learning Platform Based on Android

Through an investigation and analysis of learning platforms, the author designed and implemented the personalized learning platform based on Android, adhering to the design principles. The platform is customized to learners’ learning styles and ubiquitous learning. Learners may receive personalized recommendations from the platform and get optimized user experience, which in turn enhances learners’ motive and efficiency in learning and supports teachers’ teaching.

Good Practices for Designing a UI/UX Motorcycle Display: A Systematic Literature Review

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.

The Effect of Emotional Intelligence on Higher Education: A Pilot Study on the interplay Between Artificial Intelligence, Emotional Intelligence, and E-Learning

Integrating Artificial Intelligence (AI) and E-learning platforms has become increasingly prevalent in the rapidly evolving landscape of higher Education. However, amidst this technological advancement, the role of Emotional Intelligence (EI) and its impact on the efficacy of AI-driven educational tools still needs to be explored. This pilot study seeks to elucidate the intricate relationship between Emotional Intelligence, Artificial Intelligence, and E-Learning in Higher Education. Drawing upon a multidisciplinary approach, this study investigates the correlation between students' Emotional Intelligence competencies and their engagement with AI-driven E-Learning platforms. The findings of this pilot study are expected to shed light on several critical aspects. Firstly, it aims to uncover how Emotional Intelligence influences students' receptivity to AI-infused E-Learning environments, potentially elucidating strategies for optimizing user experience and learning outcomes. Moreover, by exploring the reciprocal influence between Emotional Intelligence and AI algorithms, this research endeavors to contribute to the refinement of AI technologies, fostering greater personalization and adaptability in educational settings. Furthermore, this study endeavors to address the ethical implications inherent in the intersection of Emotional Intelligence, Artificial Intelligence, and E-Learning. By elucidating the potential risks and benefits associated with integrating these technologies, it seeks to inform policymakers, educators, and AI developers alike, facilitating the responsible deployment of AI-driven educational tools. Therefore, its innovative methodology and comprehensive approach aspire to pave the way for future research endeavors, ultimately enriching the educational landscape with insights prioritizing technological advancement and human well-being.

Harnessing Multi-Armed Bandits for Smarter Digital Marketing Decisions

In the current digital age, software programs and applications provide convenience and added value in a number of ways. Multi-armed Bandit algorithms (MAB) are a prime example of this; In capital markets, they assist in the adaptive design of trading strategies that adjust to market shifts and investor behavior. In e-commerce, MAB helps optimize product recommendations by learning customer preferences in real-time. In SaaS, MAB can optimize user experience by personalizing services or pricing models based on user behavior, continuously adjusting to maximize engagement or revenue. In cloud engineering MAB are indispensable for optimizing resource allocation based on user demand. The objective of this paper is to demonstrate the adaptability of MAB algorithms through an examination of their applications, specifically focusing on the Digital Marketing domain and the insight they offer for optimal decision-making. The article highlights the usefulness of major MAB algorithms in digital advertising, e-commerce content suggestion, SaaS and strategic pricing by carefully examining Thompson Sampling, UCB, Restless Bandit, and Structured Bandit as key types of MAB algorithms. The study emphasizes how these algorithms adjust to fluctuating conditions, balance a trade-off between exploration and exploitation, and eventually improve marketing strategies. This article aims to improve knowledge of MAB algorithms and encourage more research in this promising area by providing a detailed analysis of their applications.

GUI-Driven Real-Time PID Control Tool for Educational Virtual Systems

Abstract: This research presents a pioneering approach in virtual control systems, focusing on developing a highly intuitive Graphical User Interface (GUI) for real-time PID control of LED brightness using Arduino IDE. By embracing a robust pedagogical framework, the study meticulously outlines specific learning objectives that adhere to the SMART criteria, ensuring precise educational outcomes. The key to this research is the tailored design of the GUI, which considers diverse audience needs, prior knowledge, and learning styles. The interfaces are meticulously crafted for optimal user experience, ensuring seamless navigation and engagement. Interactive elements, encompassing simulations, virtual experiments, problem-solving scenarios, and quizzes, foster active participation and hands-on learning. Multimedia elements, such as text, images, videos, animations, and audio, are thoughtfully integrated to cater to varied learning preferences. This paper underscores the critical role of collaborative learning facilitated through discussion forums, chat functionalities, and collaborative virtual environments. The study emphasizes continuous improvement through regular assessments and detailed user feedback analysis. Notably, the research highlights the significant educational impact of the designed GUI. By offering a practical platform where students can dynamically adjust PID parameters and observe immediate effects on LED brightness, the GUI enhances the learning experience in classroom settings. This approach equips students with a tangible understanding of complex PID principles, preparing them for real-world applications. In summary, this research showcases the creation of engaging, practical virtual control system tools, fostering profound and meaningful learning experiences for users within educational contexts. Keywords : control systems, pedagogy, facilitation

RANCANG BANGUN APLIKASI MARKETPLACE PENATU MOBILE WEB BERBASIS RESPONSIVE WEB DAN FRAMEWORK EXPRESS.JS

This research developed a mobile web marketplace application for laundry services to address user difficulties such as finding the nearest location, managing physical receipts, and obtaining service information. Utilizing a responsive web design approach and flexbox techniques, the front end of the application was designed to be optimal across various devices. The back end was built using Express.js with the controller-middleware-route concept to maintain code organization. Furthermore, the Geocoding API and Distance Matrix API were implemented to calculate the distance between customers and laundry services. Testing was conducted using black box testing by developers and usability testing by participants. The results indicated that the front end of the application provided an optimal user experience with an overall satisfaction rate of 89.57%, and the back end was effective in managing data with middleware features and the integration of the Geocoding API and Distance Matrix API, achieving a usability satisfaction rate of 89.22%. This research demonstrates that the responsive mobile web application is effective and efficient in assisting users in finding suitable laundry services, thereby enhancing convenience and service efficiency.

Evaluating Mixed Reality Technology for Enhancing Art Pedagogy

The lack of interest among students in studying art, particularly the traditional Indonesian art form of batik, poses a significant challenge for educational institutions. Despite its cultural significance, the education sector lacks effective strategies to introduce and enhance students' interest in batik within the art curriculum. Several consequences can arise if the education sector fails to implement strategic measures to address this issue promptly. This could lead to a gradual erosion of cultural heritage and a loss of artistic traditions passed down through generations, and students may miss out on valuable opportunities for self-expression and cultural exploration. This study addresses this issue by leveraging mixed reality and gamification in a batik creation application. This innovative approach not only enhances the pedagogy of art education but also aims to revive cultural interest. The study employs Software Testing and PIECES to evaluate user experiences, emphasizing user comfort and smooth interactions. By assessing the application with tools like Unity Profiler and Hololens 2 performance testing, the study ensures an optimal user experience, contributing to the broader goal of preserving Indonesia's cultural heritage through innovative and accessible educational solutions. The results fall within the range of 4.04 to 4.24, categorizing user satisfaction as "satisfied" and the application running at an optimal 60 frames per second (FPS). This implies that users responded positively to the application, indicating that implementing mixed reality technology in batik learning provides a satisfying experience.

Feminist Impact via Chinese Social Media

This paper discusses the impact of feminism on women through the Chinese social media and e-commerce platform—Xiaohongshu. Sentiment and themes were categorized for 50 top posts of feminism, which ranged from feminism Comment, female power education to analysis of movie and news. The research reveals that different content categories, emotional tones, and commentator feedback significantly influence user engagement. This study is also an indication of active engagement and diversity of ideas on issues of feminism by young Chinese women. These findings offer valuable insights for content creators and platform operators, emphasizing the need to consider emotional and categorical dynamics in strategy development to optimize user experience and content dissemination on Xiaohongshu.

Evaluation of Haptic Textures for Tangible Interfaces for the Tactile Internet

Every texture in the real world provides us with the essential information to identify the physical characteristics of real objects. In addition to sight, humans use the sense of touch to explore their environment. Through haptic interaction we obtain unique and distinct information about the texture and the shape of objects. In this paper, we enhance X3D 3D graphics files with haptic features to create 3D objects with haptic feedback. We propose haptic attributes such as static and dynamic friction, stiffness, and maximum altitude that provide the optimal user experience in a virtual haptic environment. After numerous optimization attempts on the haptic textures, we propose various haptic geometrical textures for creating a virtual 3D haptic environment for the tactile Internet. These tangible geometrical textures can be attached to any geometric shape, enhancing the haptic sense. We conducted a study of user interaction with a virtual environment consisting of 3D objects enhanced with haptic textures to evaluate performance and user experience. The goal is to evaluate the realism and recognition accuracy of each generated texture. The findings of the study aid visually impaired individuals to better understand their physical environment, using haptic devices in conjunction with the enhanced haptic textures.

Transforming User Experience (UX) through Artificial Intelligence (AI) in Interactive Media Design

This paper discusses the application and advantages of artificial intelligence technology in digital media interactive product design. Firstly, the development background of artificial intelligence technology and its promoting effect on design innovation is introduced, and the application of new technologies, such as generative adversarial networks in art creation and design personalization, is definitely analyzed. It then explores in detail the ability of AI to break traditional constraints in interactive design, innovate design, and optimize user experience, especially in digital media. Finally, the case study of Microsoft Cortana shows the method of classifying and processing user queries by machine learning system and its experimental results. The research of this paper provides the theoretical basis and empirical support for the application of artificial intelligence technology in the future interactive design of digital media and has important academic and practical significance.

Human–exoskeleton interaction portrait

Human–robot physical interaction contains crucial information for optimizing user experience, enhancing robot performance, and objectively assessing user adaptation. This study introduces a new method to evaluate human–robot interaction and co-adaptation in lower limb exoskeletons by analyzing muscle activity and interaction torque as a two-dimensional random variable. We introduce the interaction portrait (IP), which visualizes this variable’s distribution in polar coordinates. We applied IP to compare a recently developed hybrid torque controller (HTC) based on kinematic state feedback and a novel adaptive model-based torque controller (AMTC) with online learning, proposed herein, against a time-based controller (TBC) during treadmill walking at varying speeds. Compared to TBC, both HTC and AMTC significantly lower users’ normalized oxygen uptake, suggesting enhanced user-exoskeleton coordination. IP analysis reveals that this improvement stems from two distinct co-adaptation strategies, unidentifiable by traditional muscle activity or interaction torque analyses alone. HTC encourages users to yield control to the exoskeleton, decreasing overall muscular effort but increasing interaction torque, as the exoskeleton compensates for user dynamics. Conversely, AMTC promotes user engagement through increased muscular effort and reduces interaction torques, aligning it more closely with rehabilitation and gait training applications. IP phase evolution provides insight into each user’s interaction strategy formation, showcasing IP analysis’s potential in comparing and designing novel controllers to optimize human–robot interaction in wearable robots.

Application for Tridimensional Renal Visualization and Operative Planning

Background: Partial nephrectomy is the preferred surgical approach for renal neoplasms smaller than 7 cm, without compromising disease-free or cancer-specific survival. It is increasingly being performed in patients with complex renal tumors. Three-dimensional models of preoperative computed tomography (CT) or magnetic resonance imaging (MRI) scans are the future for accurately identifying the tumor's location and planning the surgical strategy. Objectives: This study aims to develop an application for use by medical professionals, designed to view three-dimensional (3D) renal images with radius, extension, nearness, anterior/posterior, and lines scores from preoperative CT or MRI exams. Methods: This descriptive study focuses on developing a mobile application, which was entirely created by a urologist on a no-code platform without using programming languages. The renal 3D images were generated from the patient's specific CT or MRI scans. A dedicated database was also utilized for the application. Results: The development of the NeoRenal application resulted in ten complexly designed screens created within a no-code platform, each serving a specific purpose in a coherent sequence to ensure an optimal user experience. The uniform flow and design of these screens aim to provide intuitive and comprehensive user acceptance, facilitating registration, data entry, visualization, and editing functionalities. Conclusions: The application was successfully developed and is ready to be published on various operating systems.

Performance Testing Techniques for Live TV Streaming on STBs

In the realm of live TV streaming, performance testing is critical to ensure seamless delivery and optimal user experience on Set-Top Boxes (STBs). This paper presents a comprehensive exploration of performance testing techniques tailored for live TV streaming on STBs, focusing on methodologies, challenges, and best practices. With the growing demand for high-quality, uninterrupted live TV content, effective performance testing becomes imperative to address issues related to latency, buffering, and overall system reliability. The study begins with an overview of the unique performance challenges associated with live TV streaming on STBs. Unlike on-demand streaming, live TV requires real-time data processing and minimal latency to deliver a continuous viewing experience. The paper categorizes performance testing into several key areas: network performance, system resource utilization, and user experience. Network performance testing evaluates the efficiency of data transmission across various network conditions. Techniques such as bandwidth measurement, latency analysis, and jitter assessment are employed to simulate different network scenarios and determine their impact on streaming quality. These tests help in identifying bottlenecks and optimizing network configurations to support smooth streaming.

Architectural Approaches to Migrating Key Features in Android Apps

The rapid evolution of Android platforms and user expectations necessitates continual enhancement and migration of key features within Android applications. This paper explores various architectural approaches to effectively migrate essential functionalities in Android apps, ensuring scalability, maintainability, and optimal user experience. Initially, the study delineates the challenges inherent in feature migration, including compatibility issues, performance constraints, and the preservation of existing user interfaces. It then examines prominent architectural paradigms such as Model-View-View Model (MVVM), Clean Architecture, and modular architectures, evaluating their suitability for facilitating seamless feature transitions. The research further investigates the role of microservices and component-based designs in enabling incremental migration, allowing developers to update or replace specific modules without overhauling the entire application. Additionally, the paper discusses best practices for managing dependencies, ensuring backward compatibility, and employing automated testing to mitigate risks during the migration process. Case studies of successful Android app migrations are presented to illustrate the practical application of these architectural strategies. The findings highlight that adopting a modular and flexible architectural framework significantly enhances the ability to migrate key features efficiently while minimizing disruptions. Moreover, the integration of robust architectural patterns fosters better code maintainability and accelerates the development cycle for future updates. In conclusion, this study provides a comprehensive guide for Android developers aiming to navigate the complexities of feature migration, advocating for architectural approaches that balance innovation with stability. The insights garnered offer valuable implications for the design and evolution of resilient Android applications in a dynamic technological landscape.

Understanding the User Experience of Lumbar-Support-Assistive Devices in Lower-Back Pain Patients: Design Recommendations

A positive user experience is crucial for enhancing user adherence throughout the utilization of lumbar-support-assistive devices (LSAD). However, there is a lack of research for optimal user experience with LSAD in the existing literature. Therefore, this study aims to explore how patients with lower-back pain use LSAD and assess their satisfaction and overall experience. Based on this, we aim to provide design improvement recommendations for LSAD to researchers in the relevant field. Through in-depth interviews with 14 LSAD users, key themes were identified using reflexive thematic analysis. The results indicate that participants were “somewhat satisfied” with the overall experience with their LSAD. The key factors influencing the LSAD-wearing experience were: (1) key design challenges in improving LSAD (stability, fit and, comfort), (2) providing necessary assistance (potential barriers and prompts), and (3) individualizing needs and balance of design (aesthetics, dimensions, safety, and cleanliness). All participants reported that poor stability, fit, and comfort of LSAD were the main reasons for an adverse experience. It is worth noting that users may encounter potential barriers when initially using LSAD. Furthermore, younger participants perceived pressure related to appearance and expressed concerns about the exposure of their health privacy during social interactions involving the LSAD. Based on these findings, we have proposed a set of comprehensive LSAD design-improvement recommendations, which serve as a foundational reference for future improvements.