Top Research Papers on UI UX

This research presents multiple user studies that can be used to assess the usefulness of a cyberlearning environment used in Computer Science and Software Engineering courses through testing its usability and measuring its utility using user interface and user experience evaluations and proposes an evaluation framework to evaluate cyberlearning environments.

The authors show the ways in which AI can enhance such activities and assume tasks that have been typically performed by humans in the user experience (UX) design process.

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To make an interface simultaneously usable for users from a diverse range of cultural backgrounds will require a very large amount of adaptation, but the powerful principles of plasticity of user interface design hold the future promise of an optimum tool to achieve cross-cultural usability.

Combinatorial optimization as a flexible and powerful tool for computational generation and adaptation of GUIs is surveyed and the position of this application area within optimization and human–computer interaction research is discussed and challenges for future work are outlined.

Rapid advances in Natural Language Processing (NLP) are transforming customer service by making it possible to create chatbot applications that can understand users' intents and response in a human-like manner. Chatbots promise to enhance customer experiences by creating more personal customer interactions than those afforded by traditional menu-based web applications. But are chatbots always superior to more traditional user interfaces (UI)? This study seeks to understand the differences in user satisfaction with a chatbot system vis-a-vis a menu-based interface system, and identify factors t...

The results show that AX is inherently related to human understanding of fairness, transparency, and other conventional components of user-experience, indicating the heuristic roles of transparency and fairness regarding their underlying relations of user experience and trust.

This article presents the first effort of surveying existing MAR frameworks and discusses the latest studies on MAR through a top-down approach and summarises the development of emerging research fields and the current state-of-the-art.

Usability and user experience (UX) are important concepts in the design and evaluation of products or systems intended for human use. This chapter introduces the fundamentals of design for usability and UX, focusing on the application of science, art, and craft to their principled design. It reviews the major methods of usability assessment, focusing on usability testing. The concept of UX casts a broad net over all of the experiential aspects of use, primarily subjective experience. User-centered design and design thinking are methods used to produce initial designs, after which they typicall...

ChatGPT, a general-purpose conversation chatbot released on November 30, 2022, by OpenAI, is expected to impact every aspect of society. However, the potential impacts of this NLP tool on education remain unknown. Such impact can be enormous as the capacity of ChatGPT may drive changes to educational learning goals, learning activities, and assessment and evaluation practices. This study was conducted by piloting ChatGPT to write an academic paper, titled Artificial Intelligence for Education (see Appendix A). The piloting result suggests that ChatGPT is able to help researchers write a paper ...

It is underscores that user experience concerning conversational AI like ChatGPT is assessed by useful and productive interactions even in early phase of uptake, suggesting the importance of pragmatic attributes.

AUIT allows creators to flexibly combine policies that address common objectives in XR applications, such as element reachability, visibility, and consistency, and simplifies the design process and enables creative exploration of adaptations.

This study adopts a technology affordance theory lens to identify the main mechanisms contributing to the user experience in the short-video platform context while including user experience level and video length as moderating effects.

This study presents theitions, applications, and general challenges of DT, and offers a three-layer architecture linking the physical world to the Metaverse through a user interface and investigates the security and privacy challenges of using DTs in Metaverse.

The findings indicated that human ‐ to ‐ machine interaction influences cognitive absorption more positively compared to human ‬ to ‬ human interactions.

It was found that pragmatic attributes such as efficient assistance and problems with interpretation were important elements in user reports of satisfactory and frustrating episodes of chatbot use that they found particularly satisfactory or frustrating.

A systematic investigation into the effects of interrupting the VR experience through questionnaires using physiological data as a continuous and objective measure of presence indicates a reduced BIP for the employed inVRQ without affecting the self-reported player experience.

Comparison of user experiences of one VR and two AR versions of an immersive gallery experience ‘Virtual Veronese’, measuring multiple aspects of user experience, including enjoyment, presence, cognitive, emotional and behavioural engagement, at the National Gallery in London, UK showed that enjoyment was high on all devices, with the Oculus Quest (VR) receiving higher mean scores than both AR devices, Magic Leap and Mira Prism.

An overview of existing methods for MT-BCI user training is provided, a categorization and taxonomy of these training approaches are presented, guidelines on how to choose the best methods are provided and open challenges and perspectives are identified to further improve user training.

A new GUI-specific old-fashioned method for non-text GUI element detection which adopts a novel top-down coarse-to-fine strategy, and incorporate it with the mature deep learning model for GUI text detection is designed.