Top Research Papers on UX Design

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.

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.

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...

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.

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.

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...

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.

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.

A framework for mHealth application design that combines the Information Systems Research (ISR) framework and design thinking and the use of this framework as a guide in the design of user-centred mHealth interventions is supported.

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.

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.

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

Purpose In the emerging transformation economy, there is a shift from staging memorable experiences for many to eliciting life-transformative events for one. This study aims to understand how transformative experiences can be guided and what prerequisites are needed to elicit human transformation when designing experiences. This study borrows positive psychology as a theoretical lens to explore festivals as a prime context for liminal transformative experiences in the hospitality context. Design/methodology/approach A constructivist qualitative research design was used through 31 in-depth inte...

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.

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.

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.

Information provision experiments allow researchers to test economic theories and answer policy-relevant questions by varying the information set available to respondents. We survey the emerging literature using information provision experiments in economics and discuss applications in macroeconomics, finance, political economy, public economics, labor economics, and health economics. We also discuss design considerations and provide best-practice recommendations on how to (i) measure beliefs; (ii) design the information intervention; (iii) measure belief updating; (iv) deal with potential con...

Contributors 1: Samuel M. Scheiner: Theories, Hypotheses, and Statistics 2: Robert J. Steidl and Len Thomas: Power Analysis and Experimental Design 3: Aaron M. Ellison: Exploratory Data Analysis and Graphic Display 4: Catherine Potvin: ANOVA: Experimental Layout and Analysis 5: Deborah E. Goldberg and Samuel M. Scheiner: ANOVA and ANCOVA: Field Competition Experiments 6: Samuel M. Scheiner: MANOVA: Multiple Response Variables and Multispecies Interactions 7: Peter S. Petraitis et al: ANCOVA: Nonparametric and Randomization Approaches 8: Carl N. von Ende: Repeated-measures Analysis: Growth and ...