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.

This work proposes a user experience (UX)-oriented structured method to investigate the human-robot dialogue to map the interaction with robots during the execution of shared tasks, and to finally elicit the requirements for the design of valuable HRI.

This study aims to test some previously proposed MTE (memorable tourist experience) scales by using UGC (user-generated content) posted in social media sites, through script theory and thematic analysis. In addition, MTEs and OTEs (ordinary tourist experiences) are compared to identify any significant differences between their dimensions. The results suggest that some dimensions of the MTE scale (hedonism, novelty, meaningfulness, involvement, knowledge and serendipity) are significantly more frequently reported in MTEs than in OTEs, but are not exclusive to MTEs. Despite this, the MTE scale d...

This work analyzes Dark Patterns in 240 popular mobile apps and conducts an online experiment with 589 users to show that most users do not recognize Dark Patterns, but can perform better in recognizing malicious designs if informed on the issue.

An r package, NicheToolBox (ntbox), is described that allows users to conduct all processing steps involved in ecological niche modelling: downloading and curating occurrence data, obtaining and transforming environmental data layers, selecting environmental variables, exploring relationships between geographic and environmental spaces, calibrating and selecting ellipsoid models, evaluating models using binomial and partial ROC tests, and performing geographic information system operations via a graphical user interface.

An algorithm-informed XAI question bank is developed in which user needs for explainability are represented as prototypical questions users might ask about the AI, and used as a study probe to identify gaps between current XAI algorithmic work and practices to create explainable AI products.

The study found that the user experience, in terms of social presence, immersion and credibility perception, can significantly predict users’ intention to continue using short video apps to obtain health information.

The development of VR technology has enabled the creation of the most comprehensive UXs, thus enhancing skill development, enabling remote access to training and, ultimately, improving patient safety.

We present the VASPKIT, a command-line program that aims at providing a powerful and user-friendly interface to perform high-throughput analysis of a variety of material properties from the raw data produced by the VASP code. It consists of mainly the pre- and post-processing modules. The former module is designed to prepare and manipulate input files such as the necessary input files generation, symmetry analysis, supercell transformation, k-path generation for a given crystal structure. The latter module is designed to extract and analyze the raw data about elastic mechanics, electronic stru...

This study uncovers the significant antecedents of SNS stickiness from a technology affordance lens and reveals the moderating effect of user experience on the relationship between three technology affordances and satisfaction.

This study aims to explore the role of avatars in mediating users with the metaverse environment. This study applies the construal level theory and source attractiveness model to understand the impact of avatar realism on the interaction between users and their avatars. Computer-simulated experiences were tested in realistic and abstract avatar conditions using serial mediation analysis. It was found that the user-avatar relationship and the intention to use the avatar were both increased by avatar realism. Specifically, psychological distance and social presence serially mediated these effect...

The results show that 120fps is an important threshold for VR, and after 120fps, users tend to feel lower SS symptoms without a significant negative effect on their experience, and higher frame rates (e.g., 120 and 180fps) can ensure better user performance than lower rates.

This paper constructs a reasonable evaluation index system, adopts the comprehensive evaluation method to analyze user experience before and after the outbreak of COVID-19, and finds out the change of users’ concerns regarding the online education platform.

InstaDock is a single-click GUI that uses QuickVina-W, a modified version of AutoDock Vina for docking calculations, made especially for the convenience of non-bioinformaticians and for people who are not experts in using computers.

Understanding the user experience of chatbots for customer service is essential to realize the potential of this technology. Such chatbots are typically designed for efficient and effective interactions, accentuating pragmatic quality, and there is a need to understand how to make these more pleasant and engaging, strengthening hedonic quality. One promising approach is to design for more humanlike chatbot interactions, that is, interactions resembling those of skilled customer service personnel. In a randomized experiment (n = 35) we investigated two chatbot interaction design features that m...

Human-centered artificial intelligence (HCAI) seeks to shift the focus in AI development from technology to people. However, it is not clear whether existing HCAI principles and practices adequately accomplish this goal. To explore whether HCAI is sufficiently focused on people, we conducted a qualitative survey of AI developers (N = 75) and users (N = 130) and performed a thematic content analysis on their responses to gain insight into their differing priorities and experiences. Through this, we were able to compare HCAI in principle (guidelines and frameworks) and practice (developer priori...

Investigating the types of everyday social support that can be received from artificial agents in everyday contexts found that Replika provides some level of companionship that can help curtail loneliness, provide a “safe space” in which users can discuss any topic without the fear of judgment or retaliation, and provide helpful information/advice when normal sources of informational support are not available.

The survey found that the widespread changes to services caused unintended negative consequences including essential clinical care being missed, confusion over advice, and distress and emotional trauma for women.

The results show that AR is easier to use, and users find AR more responsive when buying a hedonic (vs. utilitarian) product, and multisensory technologies lead to higher visual appeal, emotional appeal, and purchase intentions.

This note describes the ways in which geomorph, a widely used R package for quantifying and analysing GM data, has grown with the field and presents geomorph v4.0, which has dramatically improved upon previous versions.

This paper designed prompting techniques to adapt an LLM to mobile UIs without requiring dedicated datasets and training, offering a lightweight and generalizable approach to enable language-based mobile interaction.