The rapid advancement of technology has accelerated a significant shift in the design of user interfaces (UIs), moving from generic, one-fits-all solutions to personalized experiences tailored to individual user needs and preferences. This systematic mapping and review study explores the trajectory towards future interfaces by examining literature published between January 1, 2014 and May 15, 2025 from databases including IEEE Xplore, Google Scholar, ACM Digital Library, Scopus, SpringerLink, and Taylor & Francis. As result, a total of 384 studies were analyzed to classify papers by domain, method, purpose, evaluation, UI modality, and UI trigger to address research question on trends, methodologies, and gaps. The findings indicate a pronounced movement towards personalization in various ways, driven by advancements in artificial intelligence (AI), big data analytics, and user-centric design principles. However, challenges such as privacy concerns, ethical considerations, and potential biases in algorithms present significant hurdles. This study highlights the need for interdisciplinary efforts to address these challenges and points to possible directions for future HCI investigations to ensure that personalized interfaces are inclusive, ethical, and user centric.

The advent of emerging technologies such as Zero User Interface (Zero UI), Personalization, Conversational Artificial Intelligence (AI), and Brain-Computer Interfaces (BCIs) is reshaping the field of human-computer interaction (HCI), moving toward a paradigm of human-computer integration. By minimizing reliance on traditional interfaces, tailoring experiences to individual users, enabling natural language communication, and introducing direct neural interaction, these technologies make interactions more intuitive and seamlessly integrated into everyday activities. This conceptual review examines how these technologies collectively drive this transformation by exploring their distinct roles and implications for users and society. It addresses challenges and ethical considerations and proposes future research directions in HCI.

Traditional User Experience and User Interface (UX/UI) evaluations struggle to adapt in fast-evolving digital environments due to reliance on static analysis criteria, and results can vary significantly based on differences in experts’experience and specialization. This study introduces an AI-assisted exploratory UX/UI assessment framework designed to overcome these limitations by leveraging AI’s analytical capabilities. By initiating an open dialogue with AI, the framework adopts an exploratory approach without predefined criteria, allowing for the organic development of tailored analysis prompts. These prompts dynamically adapt based on real-time AI feedback, ensuring that the evaluations remain relevant and within the operational constraints of AI technology. Early implementations suggest that this approach enhances the adaptability and depth of evaluations compared to conventional methods. The framework incrementally refines evaluation criteria to effectively address specific UX/UI challenges. It holds potential for both academic and industrial applications, offering a method that integrates theoretical insights with practical outcomes, promising to enrich UX/UI research and practice.

In exploring the role of AI in UX/UI evaluation, this study utilizes ChatGPT-4 Vision, to analyze five different Korean online retail platforms; Coupang.com Kurly.com SSG.com Lotteon.com and Homeplus.co.kr. By leveraging GPT-4 Vision’s integrated linguistic and visual capabilities, the study aims to synthesize and interpret UX/UI elements, assessing design standards and identifying areas for improvement. This approach provides a comprehensive view of each platform"s UX/UI, revealing varying adherence to Nielsen’s usability heuristics and current design trends. The findings underscore the effectiveness of AI-assisted methodologies in conducting thorough UX/UI evaluations, highlighting AI"s growing impact in the field of user experience research.

Technological devices are ubiquitous in our modern society. They are used for various purposes such as communication, entertainment, education, healthcare, security, transportation/logistics, and more. In recent years, there has been a substantial increase in the number of research papers focusing on technological devices and their applications(Larsen & von Ins, 2010), benefits, challenges, and impacts. However, finding papers based on their specific subject features or main focus of technology has become a challenging task in digital libraries and databases. Although keywords and index terms are commonly used in the current Information Retrieval (IR) systems, they are inadequate for accurately differentiating and finding papers based on their focus. Researchers commonly use keywords or possible words that may be contained in the title or abstract to search for and classify papers in digital libraries and databases. This approach can lead to search results that are not relevant to what the researcher is looking for. Also, indexed results may have the same or similar keywords, even though their contents and focus are different. Only using keywords to search may no longer be the most efficient method (Matsuda & Fukushima, 1999). As a result, this indexing process based solely on keywords and index terms can lead to inefficiency and time waste for researchers. This capstone project aims to analyze the case of using free text, keywords and advanced search methods mainly used in three digital libraries to search technological device research papers by providing examples and documentation by comparative analysis. The problem will be thoroughly examined through literature research and comparative analysis. The research will analyze existing solutions and evaluate their effectiveness. Possible solution methodologies will be discussed in the conclusion based on the research findings.

Augmented reality is one of the prominent entertainment technologies today. Besides entertainment purposes, the applications that developed for augmented reality have been used primarily in the fields of education, health, advertising, tourism, engineering, and various other fields. The importance of user interfaces that enable interaction between the user and the applications has become more important for the augmented reality applications created to provide an efficient and appropriate experience for their purposes. It is aimed to provide a functional and entertaining experience by guiding the user in a correct and motivating way as a result of the interactions between the surfaces and objects in the environment, together with the limitations and enhancements of the technological devices providing the image, in designing a suitable and effective interface design. Developers and designers try to create a user-centered interface with gamifying elements of the experience process by utilizing knowledge in the fields of psychology and design. However, the variety of techniques used in this process and the appropriateness of the elements found in the interface designs to the intended purpose have not yet reached a standard that is easily recognized, adapted and accepted by users. With this study, the existing technologies and interfaces will be examined in order to create a user-centered, motivating and efficient interface design for augmented reality applications that can be used in existing and future technological devices. As a result of the investigations, it aims to reach findings and new gamifying techniques that can improve the design processes.

The study aims to comprehensively analyze and evaluate the development and evolution of digital characters in various New Media fields, including Digital Animation, Gaming, Digital Illustration, Internet, and Programming. This research will explore the interactions between these digital characters and people, examining the impressions formed as a result of these interactions and the roles these characters play in society. By including examples from different New Media areas, each with unique values and functions, the research ensures a comprehensive overview, providing insights into all aspects of the subject.