Інновації в UI/UX-дизайні як ключ до успішного просування вебресурсів

There is a huge proliferation of digital products on the market today for both large enterprises and small businesses. Most of these companies have experienced the development of software products for the mobile market and have been faced with the major challenge of capturing the customer's attention. There is a great focus on making a great first impact and providing the audience with the best possible digital experience. Accordingly, issues related to usability, accessibility, and user experience are extremely relevant. This chapter addresses how these practices can be used in practice by building an app that offers car cleaning services. Several approaches based on building app interfaces that increase user engagement and retention levels are explored and discussed.

Many company owners are taking notice of the popularity of dark mode in mobile apps, and many users are opting to utilize it for various reasons. There haven't been many comprehensive studies on the idea of dark mode or its definition, therefore it is still a relatively new area of study in academia. To add insult to injury, academic conclusions on ongoing investigations and forthcoming developments in the dark mode are few. Many people still disagree on the benefits and drawbacks of dark mode. To fill this void, this paper reviewed the literature on dark mode from a variety of academic fields. Its goal was to lay the groundwork for future research on the topic of dark mode and user experience by developing a basic research methodology for studying the two together. This report used a two-step process based on the Scopus database to search for and gather papers about dark mode research over the last 30 years. After reviewing all of the papers, 35 met the inclusion and exclusion criteria. Dark mode's topics, background, theoretical underpinnings, and research methodologies were first examined in this work. Then, using the "Stimulus-Organism-Response (S-O-R)" paradigm, it categorized and combined the dark mode study variables. In the end, it suggested a study methodology that would explain the deeper meaning of dark mode and the connection between user behavior, their experience, and many variables. This work went above and above by outlining possible avenues for future dark mode research and pointing out where present document studies are lacking.

BackgroundUser experience and engagement are critical elements of mental health apps’ abilities to support users. However, work examining the relationships among user experience, engagement, and popularity has been limited. Understanding how user experience relates to engagement with and popularity of mental health apps can demonstrate the relationship between subjective and objective measures of app use. In turn, this may inform efforts to develop more effective and appealing mental health apps and ensure that they reach wide audiences.ObjectiveWe aimed to examine the relationship among subjective measures of user experience, objective measures of popularity, and engagement in mental health apps.MethodsWe conducted a preregistered secondary data analysis in a sample of 56 mental health apps. To measure user experience, we used expert ratings on the Mobile App Rating Scale (MARS) and consumer ratings from the Apple App Store and Google Play. To measure engagement, we acquired estimates of monthly active users (MAU) and user retention. To measure app popularity, we used download count, total app revenue, and MAU again.ResultsMARS total score was moderately positively correlated with app-level revenue (Kendall rank [T]=0.30, P=.002), MAU (T=0.39, P<.001), and downloads (T=0.41, P<.001). However, the MARS total score and each of its subscales (Engagement, Functionality, Aesthetics, and Information) showed extremely small correlations with user retention 1, 7, and 30 days after downloading. Furthermore, the total MARS score only correlated with app store rating at T=0.12, which, at P=.20, did not meet our threshold for significance.ConclusionsMore popular mental health apps receive better ratings of user experience than less popular ones. However, user experience does not predict sustained engagement with mental health apps. Thus, mental health app developers and evaluators need to better understand user experience and engagement, as well as to define sustained engagement, what leads to it, and how to create products that achieve it. This understanding might be supported by better collaboration between industry and academic teams to advance a science of engagement.

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.

Do VR and AR versions of an immersive cultural experience engender different user experiences?

With the rapid development of artificial intelligence-generated content (AIGC) technology, the gaming industry is undergoing major changes. This study explores the application of AIGC in game design and analyzes its impact on art, music, text, interaction and user experience. The innovation of this study is the integration of AIGC to enhance the creativity, quality, and interactivity of game design while proposing solutions to current industry challenges. This study uses methods such as literature review, case analysis, and user surveys to evaluate the effectiveness of AIGC by comparing traditional and AIGC-enhanced game design methods. Follow user-centered design principles and analyze data from case studies, user questionnaires, and designer feedback to identify key issues in user experience. The results show that AIGC significantly increases user engagement by creating personalized, immersive experiences and provides new development opportunities for the gaming industry. In summary, AIGC technology has demonstrated the potential to revolutionize game design by solving creative and technical challenges, paving the way for future innovation and prosperity in the gaming industry.

In this work, a thorough mathematical framework for incorporating Large Language Models (LLMs) into gamified systems is presented with an emphasis on improving task dynamics increasing user engagement, and improving reward systems. Personalized feedback adaptive learning and dynamic content creation are all made possible by the integration of LLMs and are crucial for improving user engagement and system performance. A simulated environment is used to test the framework's adaptability and demonstrate its potential for real-world applications in a variety of industries including business healthcare and education. The findings demonstrate how LLMs can offer customized experiences that raise system effectiveness and user retention. This study also examines the difficulties this framework aims to solve highlighting its importance in maximizing involvement and encouraging sustained behavioral change in a range of sectors.

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

This research investigates the impact of User Experience and Interface Design Quality on User Satisfaction of FEB UNJ students, with Trust in the Shopee platform as a mediating variable. Data analysis in this research is executed through the SmartPLS application, applying Partial Least Squares-Structural Equation Modeling (PLS-SEM) within a quantitative design. The respondents consist of FEB UNJ students who are active Shopee users. The results indicate that User Experience and Interface Design Quality have a positive and significant effect on Trust. Furthermore, User Experience, Interface Design Quality, and Trust significantly influence User Satisfaction. Mediation analysis shows that Trust partially mediates the relationship between User Experience and User Satisfaction, as well as between Interface Design Quality and User Satisfaction. These findings highlight the strategic role of trust in strengthening the impact of digital interaction quality on user satisfaction. This study contributes to the literature on digital consumer behavior and provides practical implications for e-commerce platforms in improving service quality and user retention.

The mobile environment presents numerous challenges to users and developers alike. Ideally, mobile content should be designed to enhance a user's experience rather than simply serve up the same content originally designed for other platforms. This chapter presents a study of techniques for “content adaptation”, the process of reformatting content and displaying it optimized for a mobile device. Adaptation techniques consist of a varied number of mechanisms by which content is adapted into a format more “friendly” to mobile devices. The idea of “friendly” can range from simple accessibility requirements to a dynamic redesign. Included in this discussion is a summary of the advantages and disadvantages of current techniques. Examples of different techniques are presented and illustrated along with the system framework necessary to implement them.

The ability to retrieve device capabilities provides huge potential in enhancing contents to user. In this paper, we propose service-based content adaptation platform (SCAP) that adapts content for display on mobile devices. It serves the objectives to provide adaptive content to user without direct user input; to provide an enhanced user experience by offering value-added content and also to provide flexible and scalable service-based content delivery mechanism. This paper discusses the implementation modules which include service-based device information retrieval and content negotiation. Performance analysis, benchmarking comparison and caching for proposed platform are scheduled for the ongoing works.

This research aims to develop a user experience (UX)-centered design framework for educational content delivered through All-in-One Multimedia Personal Computers (AOMPCs), focusing specifically on optimizing English learning and enhancing teaching effectiveness. By analyzing existing AOMPC-based English learning applications, the research explores how content presentation influences students' motivation, classroom engagement, and academic performance. The findings reveal that user experience optimization relies on multiple interrelated dimensions, including interface design, interactivity, visual aesthetics, and multimedia integration. These elements collectively shape a more engaging and immersive learning environment. Furthermore, the study integrates theoretical perspectives with empirical data to identify core drivers of an effective AOMPC learning experience, such as real-time feedback, adaptive content, and interactive task design. These factors significantly elevate learner motivation and cognitive engagement. The study not only offers practical insights for designing multimedia teaching tools but also contributes a theoretical foundation for future research and innovation in educational technology.

Emotional design is an important development trend of interaction design. Emotional design in products plays a key role in enhancing user experience and inducing user emotional resonance. In recent years, based on the user's emotional experience, the design concept of strengthening product emotional design has become a new direction for most designers to improve their design thinking. In the emotional interaction design, the machine needs to capture the user's key information in real time, recognize the user's emotional state, and use a variety of clues to finally determine the appropriate user model. Based on this background, this research uses a deep learning mechanism for more accurate and effective emotion recognition, thereby optimizing the design of the interactive system and improving the user experience. First of all, this research discusses how to use user characteristics such as speech, facial expression, video, heartbeat, etc., to make machines more accurately recognize human emotions. Through the analysis of various characteristics, the speech is selected as the experimental material. Second, a speech-based emotion recognition method is proposed. The mel-Frequency cepstral coefficient (MFCC) of the speech signal is used as the input of the improved long and short-term memory network (ILSTM). To ensure the integrity of the information and the accuracy of the output at the next moment, ILSTM makes peephole connections in the forget gate and input gate of LSTM, and adds the unit state as input data to the threshold layer. The emotional features obtained by ILSTM are input into the attention layer, and the self-attention mechanism is used to calculate the weight of each frame of speech signal. The speech features with higher weights are used to distinguish different emotions and complete the emotion recognition of the speech signal. Experiments on the EMO-DB and CASIA datasets verify the effectiveness of the model for emotion recognition. Finally, the feasibility of emotional interaction system design is discussed.

Background and Purpose: In recent years, people pay more and more attention to physical health. As the epidemic continues to affect people’s life and bring certain restrictions to people’s travel, home fitness has become a new trend. Since there is no trainer to participate in home fitness in real time, the standardization, consistency and standard of movements need to be corrected and adjusted for bodybuilders. How to enhance the service experience of bodybuilders in the exercise process of mobile apps? After analyzing the advantages and disadvantages of intelligent fitness products at the present stage, and finding the development direction of intelligent fitness products in the future is the part of this paper. By improving the intelligent fitness product service system to improve users’ fitness experience, aiming at the comparative experience of several fitness apps and discovering problems, the problems and innovation points to be explored at the current stage of fitness APP are explored through user research, and the problems are put into the user journey map to compare the improved APP. To ensure the standardization, consistency and standardization of users’ movements in the process of fitness, and to provide users with various and more perfect home fitness experience and improve the service system of fitness APP.Methods: Users’ behavioral process and experience changes were studied by using the user journey map method, and users’ evaluation in the experience of fitness was analyzed by Using KANO model. The user journey map can accurately locate the state changes of users in the service system, and find out the positioning of intelligent fitness products through psychological state, behavior, contact points and other parts. KANO model can more carefully analyze the functional attributes and user satisfaction of each intelligent fitness product. Through user demand classification and importance analysis, it is found that by comparing the similarities and differences between the two attributes of intelligent fitness products, it can find the attributes that need to be improved and innovative at the present stage. Through two methods to find out the intelligent fitness products service system needs to be improved and the needs of users.Results: According to the user evaluation of a series of intelligent fitness products, users pay special attention to the effectiveness, accuracy, standard movement and the effect of their own fitness. Fitness effectiveness has focused on fitness in the process of interactive, accuracy is mainly aimed at the user action and power whether standard, consistent, to ensure the safety of users fitness effect and fitness, how to through the establishment of intelligent fitness service system is to establish the accuracy of the connection between the product and user interaction process and an important point of perfect service system. Establishing a more perfect user feedback system can improve the quality of service and enhance user fitness experience. Through the investigation of users with different fitness needs, the main problem reflected in the user experience flow chart is how to find the most accurate fitness mode for users, and how to reduce the application time of users to fitness APP to reduce the time cost of fitness standards. Finally, user demand analysis of KANO model and user service process analysis of user journey map are combined to find user demand points and innovation points in the process of fitness service. Not only should we consider the user’s physical strength and attention consumption during the exercise process, but also help users relieve fatigue and establish good fitness habits after the exercise.Conclusion: At present, online fitness has been able to meet the basic needs of users in the fitness process. How to improve the quality of users’ online fitness, increase user engagement, ensure the safety, quality and user experience of the fitness process, and establish a more perfect intelligent fitness service system are the innovation points to be explored in the future intelligent fitness. Through the analysis of user fitness process by KANO model and user journey map, it is found that intelligent fitness products lack interaction with users at the present stage, the problem of mismatching with users’ fitness environment in the process of use, and the lack of consistency of users’ actions and forces. In the future, intelligent fitness products should focus on the establishment of a perfect fitness service system, through virtual reality technology, big data and other new technologies to accurately explore user touch points, improve user fitness experience. It provides some reference for the development of intelligent fitness field.KeywordsUser journey mapThe KANO modelCustomer satisfactionInteraction processIntelligent fitness service system

Emerging technologies offer cultural institutions opportunities to expand their audiences and make their content more accessible. Augmented Virtuality (AV), which integrates real-world content into virtual environments, shows particular potential. It enables the transmission of live or pre-recorded stage performances, such as concerts and theater productions, from the stage to virtual audiences via increasingly affordable head-mounted displays (HMDs). However, as AV remains under-researched, little is known about which recording features enable an immersive user experience while maintaining cost-efficiency—an essential requirement for resource-constrained cultural institutions. In this context, we investigate the influence of features of audio and video recordings on key dimensions of user experience in the use case of a real opera performance integrated into a virtual opera house. We conducted a 2 × 2 within-subjects study with 30 participants to measure the effects of 2D versus 3D videos and stereophonic versus spatial audio rendering on several key dimensions of user experience. The results show that spatial audio has a positive impact on Place Illusion, whereas video dimensionality had no significant effect. Recommendations for the design of AV applications are derived from study results, aiming at balancing immersive user experience and cost-efficiency for virtual cultural participation.