ICE: Collaborating Memory and Process Management for User Experience on Resource-limited Mobile Devices

Several research studies have recently explored user experience, emphasizing its expanding importance. Due to technology's rapid advancement and new platforms, online user experience management and improvement are becoming more critical. User experience is crucial in the metaverse as it helps build a devoted user following. In the metaverse, gamification, sociability, and personalization can all improve user experience. However, only some studies have integrated and synthesized existing works using the user experience perspective to make metaverse user experience research more consolidated, relevant, and impactful. Content analysis was used on the selected articles to combine the outcomes into five themes: Metaverse as a New Transformational Technology and User Experience, Metaverse Interactivity and User Experience, Metaverse Immersiveness and User Experience, Integrative Flow in Metaverse and User Experience and Metaverse Environment Interface and User Experience. Researchers, practitioners, and policymakers will find this study helpful for those interested in user experience and the metaverse. In order to guide future empirical research in the field, the study concludes with a framework consolidating the findings. Keywords: Metaverse; User Experience; Immersiveness; Environment interface; Transformational technology; Interactivity

The user experience measurement can reveal the strengths and weaknesses of an application. One of the tools used to measure the user experience of an application is the User Experience Questionnaire (UEQ). UEQ can provide feedback to developers on the Attractiveness, Efficiency, Perspicuity, Dependability, Stimulation, and Novelty aspects of the application, whether it needs improvement or not. This study aims to measure the user experience of UNG E-learning using the User Experience Questionnaire (UEQ) on these six aspects. This research is quantitative research with a survey method approach. The tool used in analyzing the user experience of e-learning is UEQ. This study showed that the UNG e-learning was seen from the average respondents' answers were between -0.8 and 0.8, which means that the respondents gave neutral answers. Compared to other products in the benchmark, this e-learning gives poor results in Attractiveness, Efficiency, Perspicuity, Dependability, Stimulation, and Novelty. Therefore, this e-learning requires quality improvement in user experience in these six aspects.

In this study, I applied the User Experience Questionnaire Short Version and the Visual Aesthetics of Website Inventory: Short Version to assess and improve the user experience of four online information literacy tutorials. I compared non-gamified tutorials with revised tutorials that incorporated user feedback improvements and gamification elements. The subsequent versions provided a more positive user experience. With a larger participant pool, overall UEQ-S mean values indicated neutral user experiences for three tutorials, while one showed a positive user experience. Given university students’ familiarity with digital technology, neutral user experience results are reasonable, considering the comprehensive academic content of these tutorials. The UEQ-S and VisAWI-S were valuable for developing information literacy tutorials to provide an improved user experience.

In this research article, we present the initial results of our case study on improving user experience (UX) in a fully online enrolment process at an e-learning university, the Universitat Oberta de Catalunya (UOC). Our main conclusion is that an omnichannel approach is necessary for improving prospective students’ UX. To obtain our results, we made use of three different data sources, which allowed us to map a current and future customer journey. These sources were: (1) quantitative data on the main stages in the process at which prospective students drop out; (2) field diaries compiled by prospective students over the course of the enrolment process and a co-creation workshop with the same prospective students; and (3) the UOC’s perspective, gathered from workshops and interviews with University staff responsible for the enrolment process. Comparing the current journey with the ideal journey, we will demonstrate that significant improvements can be made to prospective students’ UX in online enrolment via an omnichannel approach. We discovered a need for improved channel coordination (e.g. information transfer between channels), greater availability and a wider range of channels (inbound and outbound, telephone vs. chatbot), personalization and adaptation of channel content according to the stage prospective students have reached in the process, and the ability to choose the channel that best meets their needs (chatbot for commonly asked questions vs. real people for more complex or specific queries). In view of our results, we would especially highlight technological and organizational changes as the next steps to take.

Understanding and improving user experience is key to strengthening uptake and realizing the potential of chatbots for customer service. In this paper, we investigate customer satisfaction surveys as a source of insight into such user experience. A total of 5,687 customer satisfaction reports on users’ interactions with a customer service chatbot, and the corresponding chatbot interactions, are analyzed. The findings demonstrate that customer satisfaction reports are closely associated with the degree to which the problems motivating users’ chatbot interactions are resolved. Furthermore, the findings show substantial variation in the performance of different chatbot intents in terms of customer satisfaction and problem resolution. This implies that user experience varies substantially depending on the problems motivating users to interact with the chatbot. Finally, we identify key characteristics of the intents associated with particularly high or low customer experience, suggesting paths towards efficient improvement of chatbot user experience. Based on the findings, we point to key implications for theory and practice and suggest directions for future research.

No matter the traditional Ming-style furniture is made of exquisite materials, elegant, and simple, or the literati philosophy, connotation, and literati spiritual outlook, values, world outlook, etc. reflected behind it, all have left us with excellent cultural heritage. As a fast-developing technology, virtual reality has a bright future. This paper mainly studies the Ming-style furniture display based on immersive 5G virtual reality technology. Ming-style furniture displays design prototype system development based on user experience. The prototype of the guided design drawings is completed, the Ming-style furniture and display space is modeled in Unity3d, interactive elements are added, and finally it is realized that users can roam in the scene from a first-person perspective and the furniture in the scene, color, material, etc., as well as the detailed display of the items in the scene, the control of the lights in the scene, the control of the sound, and so on are changed. After the establishment of the system, a certain user evaluation is performed on the established system. Questionnaire surveys, focus group interviews, and other methods are used to conduct very detailed investigations and usability tests on users. Then, the test results are realized and the system is optimized to a certain extent. Finally, the user experience of the system design is improved. The experimental survey results show that the average user experience score is 43.7 points and the rating is in the “good” range, which basically meets the user experience. This research plays an important role in improving user experience and at the same time enriches the research in the field of domestic furniture virtual display and has certain significance for the future development of furniture companies.

Technological progress in the fields of ubiquitous sensing and machine learning has been fueling the development of user-aware human-computer interaction in recent years. Especially natural user interfaces, like digital voice assistants, can benefit from understanding their users in order to provide a more naturalistic experience. Such systems can, for example, detect the emotional state of users and accordingly act in an empathic way. One major research field working on this topic is Affective Computing, where psycho-physiological measures, speech input, and facial expressions are used to sense human emotions. Affective data allows natural user interfaces to respond to emotions, providing promising perspectives not only for user experience design but also for safety aspects. In automotive environments, informed estimations of the driver’s state can potentially avoid dangerous errors and evoking positive emotions can improve the experience of driving. This dissertation explores Affective Automotive User Interfaces using two basic interaction paradigms: firstly, emotion regulation systems react to the current emotional state of the user based on live sensing data, allowing for quick interventions. Secondly, emotional interaction synthesizes experiences which resonate with the user on an emotional level. The constituted goals of these two interaction approaches are the promotion of safe behavior and an improvement of user experience. Promoting safe behavior through emotion regulation: Systems which detect and react to the driver’s state are expected to have great potential for improving road safety. This work presents a model and methods needed to investigate such systems and an exploration of several approaches to keep the driver in a safe state. The presented methods include techniques to induce emotions and to sample the emotional state of drivers. Three driving simulator studies investigate the impacts of emotionaware interventions in the form of implicit cues, visual mirroring and empathic speech synthesis. We envision emotion-awareness as a safety feature which can detect if a driver is unfit or in need of support, based on the propagation of robust emotion detection technology. Improving user experience with emotional interaction: Emotional perception is an essential part of user experience. This thesis entails methods to build emotional experiences derived from a variety of lab and simulator studies, expert feedback, car-storming sessions and design thinking workshops. Systems capable of adapting to the user’s preferences and traits in order to create an emotionally satisfactory user experience do not require the input of emotion detection. They rather create value through general knowledge about the user by adapting the output they generate. During this research, cultural and generational influences became evident, which have to be considered when implementing affective automotive user interfaces in future cars. We argue that the future of user-aware interaction lies in adapting not only to the driver’s preferences and settings but also to their current state. This paves the way for the regulation of safe behavior, especially in safety-critical environments like cars, and an improvement of the driving experience.

An empirical study on user experience evaluation of VR interface in digital museums

Agile software development has proliferated over the last two decades and become one of the dominant frameworks used by software development companies. Agile development methods and User Experience (UX) both strive towards providing software that meets the users’ needs. The purpose of this study is twofold; firstly, to study the current literature and approaches of integrating UX into Agile software development with the intention of combining it into good development practices for use by Agile and UX practitioners. Secondly, to investigate how UX is integrated into Agile in the South African context thus confirming if literature from studies conducted abroad apply within the South African context. A review of the literature confirms that there are a significant number of publications on Agile software development from a South African perspective (Joseph and Santana 2016; Chiyangwa and Mnkandla 2017; Sebega and Mnkandla 2017; Mudarikwa and Grace 2018). However, there are no publications that have explored UX integration within an Agile software environment. Recent research attempts, such as those by Coleman (2018) and Brosens (2018), are evidence of the growing interest in UX; however, these studies do not provide a higher level of abstraction on Agile UX integration practices. This research presents results of a qualitative study on how UX and Agile can be integrated. UX cannot be quantified or adequately explained by using variables or experiments. The grounded theory research method has been used. It is qualitative in nature and the theory consists of iterative data collection and analysis with an aim of producing a theory. The results of this study highlighted approaches for increasing user involvement in Agile and good development practices to integrate UX into Agile. It also highlighted issues and challenges experienced. This research offers insight for UX/Agile practitioners and adds academic value in the form of a generic framework for the integration of UX into Agile. The framework has been developed through the lens of the Design Thinking paradigm.

This research developed an interactive Company Profile Website for DM Medical Alkes to address the lack of digital promotion and corporate credibility. The website integrates an interactive 360° product presentation feature to enhance user experience and buyer confidence. The Agile Development method was employed, which included planning, design (UML, mockups), implementation (Next.js, Supabase), testing, and review phases. An experiment to determine the optimal number of images for the 360° feature was conducted with internal stakeholders, resulting in the use of 36 images. Comprehensive system testing was performed using Black Box Testing, which confirmed that all basic website functionalities operated optimally. User Experience (UX) Testing with the System Usability Scale (SUS) yielded an average score of 80.85 from 41 customers (categorized as "Excellent") and 98.66 from 3 stakeholders (categorized as "Best Imaginable"). Furthermore, a focused questionnaire on the interactive 360° feature showed very positive results, with an average score of 4.0 and a percentage of 80% from 41 respondents (categorized as "Very Good"). These findings prove that respondents prefer the 360° feature over two-dimensional media or videos, and that the feature is effective in enhancing user experience and attracting potential buyers. Overall, the developed website successfully presents information and products effectively, significantly improving user experience and meeting expectations.

The extremely-high display density of modern smartphones imposes a significant burden on power consumption, yet does not always provide an improved user experience and may even lead to a compromised user experience. As human visually-perceivable ability highly depends on the user-screen distance, a reduced display resolution may still achieve the same user experience when the user-screen distance is large. This provides new power-saving opportunities. In this paper, we present a flexible dynamic resolution scaling system for smartphones. The system adopts an ultrasonic-based approach to accurately detect the user-screen distance at low-power cost and makes scaling decisions automatically for maximum user experience and power saving. App developers or users can also adjust the resolution manually as their needs. Our system is able to work on existing commercial smartphones and support legacy apps, without requiring re-building the ROM or any changes of apps. An end-to-end dynamic resolution scaling system is implemented on the Galaxy S5 LTE-A and Nexus 6 smartphones, and the correctness and effectiveness are evaluated against 30 games and benchmarks. Experimental results show that all the 30 apps can run successfully with per-frame, real-time dynamic resolution scaling. The energy per frame can be reduced by 30.1% on average and up to 60.5\% at most when the resolution is halved, for 15 apps. A user study with 10 users indicates that our system remains good user experience, as none of the 10 users could perceive the resolution changes in the user study.

The article analyzes that the user experience design requires effort and investment. Improving the user experience can increase sales, improve customer loyalty, and create a good image for the company. The user experience strategies such as the user research, prototyping, and continuous improvement can be used to create product designs that meet users’ needs and improve their experience. A successful user experience design is critical to a product’s success, as providing a good experience makes users more likely to become loyal customers and recommend the product to their friends. A well-designed user experience can help increase product sales, improve the user experience, and reduce the number of support requests. To ensure a good user experience, it is necessary to follow certain design principles and use the right strategies. A good product without design is not enough – it is important that it is convenient to use and meets the needs of users. A scientific question. How to improve the user experience design of the e-store? The authors of the article aim to investigate the peculiarities of the user experience design of the e-store. The article was prepared on the basis of the analysis of scientific literature and the analysis of interview data. A semi-structured interview method was used.

This study investigates the impact of Enterprise Resource Planning (ERP) systems on operational efficiency at Amazon, a global leader in e-commerce and cloud computing. ERP systems are integral to modern business, integrating core processes and facilitating data-driven decision- making. Amazon employs a sophisticated mix of commercial (e.g., SAP, Oracle) and proprietary ERP solutions to manage its vast and complex operations, including procurement, inventory, warehouse management, and order fulfilment. The primary purpose of this research is to understand ERP's role in Amazon's supply chain and logistics, analyse its impact on key performance indicators such as cost reduction, order accuracy, and process automation, and identify potential best practices. The study utilized a hybrid research methodology, commencing with an exploratory phase involving literature review and analysis of secondary data, followed by a descriptive phase centred on a quantitative survey. The survey gathered data from 92 professionals with experience in ERP systems and operations, many familiar with Amazon or similar large-scale environments. Key findings indicate a strong positive perception of ERP's impact on reducing order processing time, enhancing inventory accuracy, and improving interdepartmental coordination. However, challenges related to system usability, technical glitches, and the need for comprehensive user training were also identified. The study concludes that while ERP systems significantly contribute to Amazon's operational prowess, continuous improvement in user experience and ongoing support are crucial. Recommendations focus on enhancing user training, simplifying interfaces, improving system performance, establishing robust feedback mechanisms, and leveraging key performance indicators to track ERP impact. This research contributes to the understanding of ERP effectiveness in high-volume, technology- driven organizations. List of Abbreviations: ERP: Enterprise Resource Planning; KPI: Key Performance Indicator; AWS: Amazon Web Services; UX: User Experience.

Aims: The study delves into the machine learning (ML) paradigm shift in enhancing mobile application testing processes for higher accuracy, efficiency, and overall user experience, with a particular focus on Decision Tree and Random Forest models. Study Design: Experimental Research Design. Methodology: The research applies an experimental A/B testing framework using real-world datasets and cloud-based testing environments (e.g., Firebase Test Lab) to compare ML-driven and traditional testing approaches. Techniques include automated UI defect detection through convolutional neural networks, reinforcement learning for intelligent test case prioritization, natural language processing for extracting UX-related insights from user feedback, as well as a structured user survey involving 20 participants to evaluate perceived improvements in usability and stability. MATLAB R2024b was used for model development and evaluation. Results: Experimental results demonstrate that ML-based testing significantly outperforms traditional approaches, achieving 15–20% higher defect detection rates, 30–35% greater test coverage, and 40–50% faster execution times, alongside a notable reduction in false positives. Decision Tree and Random Forest models showed superior performance in identifying usability and performance issues. Additionally, the integration of ML into CI/CD pipelines facilitated faster bug resolution with minimal manual intervention. User survey results further confirmed improvements in user experience, with over 70% of respondents reporting enhanced application stability and responsiveness. Conclusion: Despite its promise, deploying ML in real-world testing presents challenges, including dataset bias, variability across device environments, and limited interpretability of some model decisions. To address these, the study recommends developing robust ML-based testing frameworks, ensuring access to representative and high-quality training data, and designing hybrid models that integrate supervised learning with unsupervised anomaly detection techniques.

An end-use’s experience of any software is typically influenced by the interface presented by the application to the user. For Mixed Reality Environments such as Augmented and Virtual Reality, the user interface is highly visual, and a poor interface can significantly degrade the user experience. Adequate attention is required when designing or creating interfaces and user experience within Mixed Reality Environments as traditional interface design goals and specifications often need to be adjusted. Furthermore, for mixed reality environments on Mobile devices there are additional interface constraints and considerations that would considerably improve the user experience when properly addressed. This research paper discusses the evolution(s) of user interface(s) and user experience of Augmented and Virtual Reality applications on Mobile devices and contributes a framework for improving user interfaces and experience when using Mixed Reality Environments.