Elements Of User Experience Research Articles

Challenges and Responsibilities in the UX Design of Text-to-Image AI Models: A Discussion Through a Comparative Heuristics Evaluation

The rapid advancement and adoption of generative AI in creative and professional domains mark a significant evolution in technological interaction, raising pivotal discussions on its integration, usability and broader societal impact. This paper delves into the multifaceted challenges and opportunities presented by generative AI, focusing in particular on text-to-image tools and their integration into daily work practices of artists, designers, architects and researchers. As these creators increasingly incorporate AI's inherent unpredictability and ambiguity into their work, a critical examination of the ethical, legislative and environmental implications becomes imperative. We highlight how the User Experience (UX) and User Interface (UI) aspects of these groundbreaking technologies remain mostly underexplored. UX pioneer Jakob Nielsen has recently warned that professionals in the field must adapt to the fast-paced advancements in AI or become obsolete for an industry that is becoming pivotal in the contemporary creative field. He draws a parallel between the current AI era and the dot-com boom of the 1990s, highlighting how UX professionals were slow to adapt to the Internet, which led to missed opportunities and a lack of user-centred design. Consequently, the usability of generative AI tools is a paramount concern, especially as non-expert users increasingly engage with these systems. This paper explores the usability challenges, specifically the articulation barrier where users struggle to effectively communicate prompts to AI, and the consequent need for more intuitive and accessible interfaces. Through comparative analysis and a heuristic evaluation of four leading models, i.e. Midjourney, Dall.E, Stable Diffusion and Adobe Firefly, which presents a unique case study for comparison due to their divergent UI and UX elements, we aim to provide insights into the current state of AI tools and propose pathways for their responsible and effective use.

Enhancing User Engagement and Retention in Fintech: Research on Effective User Experience Strategies and Design Principles

The financial technology (fintech) sector has experienced significant growth in recent years, driven by technological advancements and changing consumer expectations. This research paper explores effective user experience (UX) strategies and design principles that enhance user engagement and retention in fintech applications. Through a combination of qualitative and quantitative methodologies, this study examines the impact of specific UX elements on user behavior and retention rates. The findings suggest that a user - centered approach to design, incorporating elements such as simplicity, personalization, and responsive design, significantly improves user satisfaction and loyalty in the fintech sector.

Research on the Design of Lower Extremity Rehabilitation Assistive Devices Based on User Experience

With the aggravation of social aging, patients with lower extremity movement disorders are also increasing year by year. The elderly with lower extremity movement disorders have their own characteristics in physiology, psychology and behavior. Firstly, this paper analyzes the research and development status of lower extremity rehabilitation assistive devices by data analysis and induction. Secondly, the physiological, behavioral and psychological characteristics of the elderly were analyzed through interviews and observation to understand the use of lower extremity assistive devices, and in-depth analysis was made on user needs and product pain points. Based on this analysis, this paper puts forward the design principles and elements based on the theoretical basis of user experience elements, increases the humanized design of lower extremity rehabilitation assistive devices, improves the safety and interest of products, and enhances user experience.

Usability of Pseudo-Haptic Feedback for Manual Precise Manipulation of Objects in Augmented Reality

Manual precise manipulation of objects is a critical skill in daily life, and Augmented Reality (AR) is increasingly used to support such tasks. In this study, we propose a system utilizing pseudo-haptic feedback to support precise manipulation for six degrees of freedom (6DOF). Two types of AR instruction interfaces were developed: Visual Deviation Instruction Interface (VDI) and Pseudo-Haptic Instruction Interface (PHI). A user study with 18 participants compared the two instruction interfaces in terms of performance and user experience. The objective measures of performance (task completion time, deviation), and the subjective measures (system usability scale, NASA Task Load Index) were collected. Results show that both instruction interfaces effectively support manual precise manipulation, achieving position deviations under 2 mm and orientation deviations under 1°. PHI outperformed VDI in speed, mental effort, physical demand, performance, perceived workload, custom user experience elements and reduction deviations of manual precise manipulation. Finally, we discuss research limitations and future directions.

Comparison of visual and multisensory augmented reality for precise manual manipulation tasks

Precise manual manipulation is an important skill in daily life, and Augmented Reality (AR) is increasingly being used to support such operations. This article reports on a study investigating the usability of visual and multisensory AR for precise manual manipulation tasks, in particular the representation of detailed deviations from the target pose. Two AR instruction interfaces were developed: the visual deviation instruction and the multisensory deviation instruction. Both interfaces used visual cues to indicate the required directions for manipulation. The difference was that the visual deviation instruction used text and color mapping to represent deviations, whereas the multisensory deviation instruction used sonification and vibration to represent deviations. A user study was conducted with 16 participants to compare the two interfaces. The results found a significant difference only in speed, without significant differences in accuracy, perceived ease-of-use, workload, or custom user experience elements. Multisensory deviation cues can speed up precise manual manipulation compared to visual deviation cues, but inappropriate sonification and vibration strategies can negatively affect users’ subjective experience, offsetting the benefits of multisensory AR. Based on the results, several recommendations were provided for designing AR instruction interfaces to support precise manual manipulation.

IMPLEMENTATION ON AIR-WRITING RECOGNITION SYSTEM

Air writing is a new and innovative technology that allows users to interact with digital devices and manipulate the air by writing or drawing, eliminating the need for all physical contact. This article provides a comprehensive study of the current state of research and development in the field of climate documentation. In this cutting-edge concept, we delve into its history, the motivations that drove its development, and the fundamentals of the technology. We also explore the main tools and equipment required to use the aerial recorder and discuss various applications, such as virtual reality, to improve access for people with disabilities. However, despite its potential, the adoption of writing is not without its challenges and limitations, which we examine in detail. This survey provides a comprehensive review of the latest techniques, algorithms and machine learning techniques used in weather forecasting and provides insight into the methods used to measure performance. We also consider the key elements of user experience and interaction design that are important to the success of these systems. As we look to the future, we identify possible research and development paths that take into account new technologies and changes that will change the country. Overall, this research demonstrates the importance of cloud typing in the field of human-computer interaction and its potential to usher in a new era of contactless, gesture-based interfaces that revolutionize the way we interact with digital technology. " Key Words: Air-Writing, gesture-recognition, CNN, image preprocessingoptics, photonics, light, lasers, templates, journals

A Study of Digitization Strategies and Audience Interaction in New Media Art Exhibitions in Museums

Abstract With the rapid development of digital technology, the digital system based on the fuzzy kano model provides a digital strategy for new media art exhibition museum information dissemination, digital display, and other fields. In this paper, the fuzzy Kano model is used to design the digital museum, and the system design starts from the five elements of user experience. The digital system is designed from the levels of the strategy layer, scope layer, structural layer, framework layer, and performance layer, respectively. Clustering the sensors first is used to obtain the functional area in the classification of audience behavior. The optimal clustering results can be achieved through spectral clustering of sensor graphs. Clustering is proposed using the typical movement pattern extraction algorithm. Optimization indexes are set to achieve optimal typical movement patterns. The auxiliary sensors capture the interactive movements of the audience with the artwork and collect logical information. Behavioral pattern templates for various types of viewers are constructed using viewer attribute labels. In the user classification method based on behavioral patterns, edges in the graph are used as features, and an optimization problem is constructed to solve the importance of each feature for audience classification. The implementation of interactive features greatly enhances the interactive experience of the audience. It makes the audience’s novelty evaluation score of the system reach 8.671. The classification algorithm based on the behavioral model performs well in all evaluation indexes, which indicates that the system proposed in this paper meets the audience’s digital and interactive needs for new media art exhibitions.

USER EXPERIENCE: NEW DIGITAL EXPERIENCE YIPY MOBILE APPLICATION SEBAGAI MEDIA KOMUNIKASI DI KAWASAN HUNIAN APARTEMEN ROYAL MEDITERANIA GARDEN RESIDENCES PODOMORO CITY

Lack of time and communication channels to facilitate all forms of communication between building management and tenants and other stakeholders, submit complaints, convey ideas, and at the same time for the development of further facilities as well as to maintain harmony between occupants and managers, the P3SRS and managers initiated a communication channel based Digital named Yipy. This application started to be used in September 2021 so the researcher intends to find out the user experience of the application. This research is intended to determine user experience in a digital-based communication framework on the Yipy application in terms of six elements of user experience, namely attractiveness, efficiency, clarity, dependability, stimulation, and novelty. The results of this study are 1) attractiveness, has attractiveness, color, animation, and design attracts attention, is easy to access and the features in it are easy to understand; 2) efficiency, this application is very detailed, precise, fast, and practical because of the realtime response; 3) easy to understand, the application is very useful, especially in payment and complaint activities, and is very user friendly; 4) dependability, the application is safe and predictable; 5) stimulation, users will continue to use the yipy application because through this application they can monitor tenant service requests so that; 6) novelty, as a solution for the transition from conventional services to digital-based services, in the form of innovative, creative and informative services.

How reviews influence product usage post-purchase: An examination of video game playtime

Previous research on software products, such as video games, has largely focused on how user experience elements like visuals, audio, and content impact consumer engagement. However, these elements are internal factors controlled by the firm. It is equally important to identify and understand how external factors can influence usage and engagement. This study investigates the role of product reviews as an external factor that can shape post-purchase usage behavior for video games. We analyze data from the field and conduct two experiments to explore how reviews affect current owners' usage intentions and playtime. Our results suggest that negative reviews can decrease usage among current owners, in part due to concerns about appearing as an incompetent consumer. These findings highlight the power of product reviews beyond their intended audience of prospective buyers and offer implications for theory and firms alike.

Big data-analysis, map reduced framework, security & privacy challenges and techniques in health sector

INTRODUCTION: Data is increasing exponentially. Data processing is an essential component in all industries, including health care. Even though a lot of progress has been made, it has been noted that in the recent decade, the health industry is capable of efficiently utilizing data and providing perfect Advancements in therapies.
 OBJECTIVES: the main objectives include of finding the right problems in the security systems and to review the methods of present data processing methods.
 METHODS: Methods involved are Quantitive analysis, Descriptive analysis, Data cleaning and Extraction.
 RESULTS: The outputs of the reduce function are combined across all reducer nodes to produce the final output.
 CONCLUSION: Big data analytics has enormous potential to accelerate the health care industry and that can only be done with some innovative methods and security plays a crucial role and can be a good catalyst in the user experience elements.

Analysis of interaction experience of sculpture product design based on perceptual machine model

Abstract In this paper, the perceptual machine model is applied to analyze the interaction experience of sculpture product design to promote the innovative development of the cultural product design industry. In the design process, product information is passed layer by layer through a multilayer perceptual machine to adjust the magnitude of the weight vector values and obtain the optimal weight vector for sculpture product design. Using the perceptual machine training algorithm, the adjusted weights of the output layer network are calculated to clarify the value and status of perceptual factors in product design, thus proposing an interactive integration route for sculpture product design. A sculpture design product is used as an example to show the effect of the perceptual machine model on enhancing the interaction experience of the sculpture product design. The results show that the sculpture product is at level VI, the average weight of its frontal profile is e=0.46494, and the absolute value of the error between the modeling imagery result and the expected result is less than 0.1, which is within a reasonable error range. It can be seen that the perceptual machine model can transform the sculpture product design principles into user experience elements, which is conducive to the experiential development of sculpture product interaction design.

Google Discover: uses, applications and challenges in the digital journalism of Spain, Brazil and Greece

PurposeThis paper constitutes the first academic study to be made of Google Discover as applied to online journalism.Design/methodology/approachThis paper constitutes the first academic study to be made of Google Discover as applied to online journalism. The study involved conducting 61 semi-structured interviews with experts that are representative of a range of different professional profiles within the fields of journalism and search engine positioning (SEO) in Brazil, Spain and Greece. Based on the data collected, the authors created five semantic categories and compared the experts' perceptions in order to detect common response patterns.FindingsThis study results confirm the existence of different degrees of convergence and divergence in the opinions expressed in these three countries regarding the main dimensions of Google Discover, including specific strategies using the feed, its impact on web traffic, its impact on both quality and sensationalist content and on the degree of responsibility shown by the digital media in its use. The authors are also able to propose a set of best practices that journalists and digital media in-house web visibility teams should take into account to increase their probability of appearing in Google Discover. To this end, the authors consider strategies in the following areas of application: topics, different aspects of publication, elements of user experience, strategic analysis and diffusion and marketing.Originality/valueAlthough research exists on the application of SEO to different areas, there have not, to date, been any studies examining Google Discover.Peer reviewThe peer-review history for this article is available at: https://publons.com/publon/10.1108/OIR-10-2022-0574

Designing the “NCU Information Portal” — analysis of the mockups of the website based on the elements of user experience and information architecture

The study aimed to compare three mockups (static graphic designs) of the Information Portal of the Nicolaus Copernicus University in Toruń in terms of user experience and information architecture indicators and identify the best one to use for creating an active website. The research used an eye-tracking method, usability tests, observations and surveys. Most respondents indicated that mockup no. 3 was the best of the three proposed static website page designs. The respondents justified their choice, among other things, by the fact that it was clear and easy to use, had a functional layout of information and an appropriate colour scheme. The design chosen by respondents has been improved to reflect their suggested modifications. Its final version can be viewed at https://portal.umk.pl/.

박물관 모바일 애플리케이션의 사용자 경험 프레임워크에 대한 연구

The design of a museum mobile application's user experience demands an in-depth comprehension of the user experience dimensions and the unique attributes of the user experience elements that users may encounter. This paper through a series of experimental studies and analyses of experiences related to the use of museum mobile applications, derives a user experience framework consisting of four dimensions and 19 elements, which has been verified for feasibility. The study shows that all four dimensions have a positive impact on user satisfaction, but the degree of impact varies. Among them, emotionality of use and ease of use have the greatest impact, while usefulness of use and multiformity of function have relatively less impact. In addition, the user experience of museum mobile application can also positively influence the user's future intention to recommend, continue using, and even the actual visit to the museum.

Deep learning-based social media mining for user experience analysis: A case study of smart home products

Understanding and enhancing user experience (UX) is crucial for new product innovation. Abundant user-generated content (UGC) from social media contains information about customers' product experience and provides an alternative channel for firms to understand UX and improve their products. However, only a few studies have focused on this issue. This research develops a deep learning-based methodology to identify the major UX elements from UGC and analyze their relationships for improving customers' product experiences. The state-of-the-art deep learning approach BERT (Bidirectional Encoder Representations from Transformers) is used to identify the major UX elements from UGC. The Plutchik's wheel of emotions model is used to elaborate users' complex emotional experiences. Association rule mining (ARM) is employed to extract significant patterns of association between the major UX elements. The UGC data from an online discussion group for smart home products is used as an example. The results demonstrate that the methodology can effectively identify relevant UX content and the important relationships between major UX elements for improving products and services. Further, the methodology can help companies better understand UX based on multiple emotional states and develop actions that respond more effectively to user behaviors triggered by their emotional states.

Motivations for user satisfaction of mobile fitness applications: An analysis of user experience based on online review comments

Considering that mobile fitness applications are one of the necessities in our lives, the user perspective toward the application is a prominent research topic in both academia and industry with the goal of improving such services. Thus, this study applies two different natural language processing approaches, bag-of-words, and sentiment analysis, to online review comments of the applications to examine the effects of user experience elements. The review dataset collected from 16,461 users, after pre-processing, revealed the notable roles of perceived affection and hedonic values in determining user satisfaction with the application, whereas the effect of user burden on satisfaction was marginal. Several implications, as well as limitations of the study, were examined incorporating the findings with the statistical results.

Yaozhou Kiln Museum e-commerce applet mindstream experience design practice

In this paper, we design and practice the e-commerce applet platform of Yaozhou Kiln Museum to help the development of Yao porcelain culture. Based on the heart flow theory and the PAT model, we analyze the factors that generate the heart flow experience in the e-commerce applet of Yaozhou Kiln Museum, summarize the factors from the five elements of user experience and then classify them, and build a design model for the e-commerce applet of Yaozhou Kiln Museum. According to the results of user satisfaction survey, it can be seen that the heart flow experience of Yaozhou Kiln Museum e-commerce applet has good satisfaction in three perspectives of visual experience, interactive experience and emotional perception experience, which can enhance users' willingness to use the platform to stimulate heart flow. Therefore, the introduction of mind flow theory into the design of e-commerce applet of Yaozhou Kiln Museum can strengthen the link between users and the platform and explore more possibilities for the establishment of e-commerce applet of Yaozhou Kiln Museum from the perspective of optimal experience.

Development of methodology for classification of user experience (UX) in online customer review

In e-commerce, customer feedback has become an essential source of insight into a product or service's user experience (UX). The study of UX helps to integrate customers' potential needs into the product's design. Because customer reviews in e-commerce are not structured and categorized, it is necessary to analyze UX based on customer opinions systematically. This study tries to structure UX in a product's positive/negative context through a neural network-based self-organizing map (SOM). As a result of analyzing 10,482 reviews on wireless earbuds in BestBuy, an electronic product e-commerce platform, it was confirmed that it is a suitable method for categorizing user experiences between reviews and deriving important factors. In particular, the difference in core UX elements by positive/negative context of the product was verified based on the star rating. The results of this study are expected to contribute to product improvement and business improvement that reflect customer needs by companies or designers who design products for end-users.

A twin data-driven approach for user-experience based design innovation

Data-driven innovation has received increasing attention, which explores big data technologies to gain more insights and advantages for product design. In user experience (UX) based design innovation, user-generated data and archived design documents are two valuable resources for various design activities such as identifying opportunities and generating design ideas. However, these two resources are usually isolated in different systems. Additionally, design information typically represented based on functional aspects is limited for UX-oriented design. To facilitate experience-oriented design activities, we propose a twin data-driven approach to integrate UX data and archived design documents. In particular, we aim to extract UX concepts from product reviews and design concepts from patents respectively and to discover associations between the extracted concepts. First, a UX-integrated design information representation model is proposed to associate capabilities with key elements of UX at the concept, category, and aspect levels of information. Based on this model, a twin data-driven approach is developed to bridge experience information and design information. It contains three steps: experience aspect identification using an attention-based LSTM (Long short-term memory) network, design information categorization based on topic clustering using BERT (Bidirectional Encoder Representations from Transformers) and LAD (Latent Dirichlet allocation) model, and experience needs and design information integration by leveraging word embedding techniques to measure concept similarity. A case study using healthcare-related experience and design information has demonstrated the feasibility and effectiveness of this approach.

Design of Innovation and Entrepreneurship Education Ecosystem in Universities Based on User Experience

The conventional college innovation and entrepreneurship education ecosystem is not considered to be designed for low energy consumption, and there is confusion in function switching, which leads to a large value of packet loss rate in system transmission. In this paper, we analyze the construction of college innovation and entrepreneurship education ecosystem and construct the scientific ecosystem of college innovation and entrepreneurship education based on user experience so as to realize college. At the same time, it takes into account the principle of green and low energy consumption of system hardware and software design, in which the hardware part selects S3C6410 RISC microcontroller as the core component to build the structure of educational ecological controller, connects a 16 bit buffer in parallel outside the controller, uses the buffer as the actual conversion port, specifies the function switching bearing interface, uses a protocol conversion chip, and designs the data acquisition circuit structure. The software part builds a model of user experience elements, sets to get an ecological interaction interface under the interoperability between the model and information data, and uses JAVA programming to realize functional modules according to the deviation of educational information shown by users. The experimental results show that the educational ecosystem designed in this paper has high data throughput, high fault tolerance, and low packet loss rate and system energy consumption, which verifies the effectiveness of the system.