Abstract: Currently, many mobile devices provide various interaction styles and modes which create complexity in the usage of interfaces. The context offers the information base for the development of Adaptive user interface (AUI) frameworks to overcome the heterogeneity. For this purpose, the ontological modeling has been made for specific context and environment. This type of philosophy states to the relationship among elements (e.g., classes, relations, or capacities etc.) with understandable satisfied representation. The context mechanisms can be examined and understood by any machine or computational framework with these formal definitions expressed in Web ontology language (WOL)/Resource description frame work (RDF). The Protégé is used to create taxonomy in which system is framed based on four contexts such as user, device, task and environment. Some competency questions and use-cases are utilized for knowledge obtaining while the information is refined through the instances of concerned parts of context tree. The consistency of the model has been verified through the reasoning software while SPARQL querying ensured the data availability in the models for defined use-cases. The semantic context model is focused to bring in the usage of adaptive environment. This exploration has finished up with a versatile, scalable and semantically verified context learning system. This model can be mapped to individual User interface (UI) display through smart calculations for versatile UIs.

Abstract: User interface (UI) and user experience (UX) design have become an indispensable part of today’s tech industry. Recently, much progress has been made in machine-learning-enabled design support tools for UX designers. However, few of these tools have been adopted by practitioners. To learn the underlying reasons and understand user needs for bridging this gap, we conducted a retrospective analysis with 8 UX professionals to understand their practice and identify opportunities for future research. We found that the current AI-enabled systems to support UX work mainly work on graphical interface elements, while design activities that involve more ‘design thinking” such as user interviews and user testings are more helpful for designers. Many current systems were also designed for overly-simplistic and generic use scenarios. We identified 4 areas in the UX workflow that can benefit from additional AI-enabled assistance: design inspiration search, design alternative exploration, design system customization, and design guideline violation check.

Abstract: The purpose of this research is as a prototype for the application of User Centered Design in the development of User Interface Design and User Experience on the Film Synopsis android application. In developing android applications, the design of the User Interface (UI) and User Experience (UX) is a very important initial stage in using the application. This UI/UX will provide a user experience in using and interacting with this android application. In this article, we explain how UI/UX is designed in Film Synopsis using a User Centered Design (UCD) approach. At UCD there are 4 (four) stages in the UI/UX approach, namely analysis, design, evaluation, and implementation. Users will be involved in evaluating the designs that are made, so that the designs that are formed (made) can be improved for the convenience of users or android application users

Abstract: This study examined user preferences for ChatGPT-powered conversational interfaces vs traditional techniques. The study collected data from 175 selected volunteers utilizing a survey questionnaire. Descriptive and inferential statistics were used to detect user preferences and compare them to the literature review. The study found that 70% of users chose ChatGPT-powered conversational interfaces over traditional techniques, citing convenience, efficiency, and personalization. Demographic data was explored. The participants were evenly distributed between male and female (50%) and aged 18 to 55 (mean = 35 years). This study affects ChatGPT and conversational AI development. The results indicate that users want to use these technologies in their daily lives. To improve ChatGPT, further study is needed in this area. However, this study's tiny sample size must be considered. To confirm these findings and investigate other factors affecting conversational interface user preferences, bigger and more diverse samples are needed.

Abstract: This article introduces a unified and flexible experimental framework for massive online experimentation of control education. The new architecture adopts a front-end and back-end separation scheme based on React at frontend and Nginx at backend, and a single page application has been achieved to improve user experience. Multiple features and supporting technologies which provide a flexible, interactive, and real-time platform with enhanced sense of presence and user experience are discussed. The design and implementation of the proposed system are depicted in detail. With the implementation of online algorithm design, the unified framework enables all the functionalities such as web-based algorithm design, parameter tuning, visual configuration of customized user interface, and real-time control with remote and virtual laboratories, which cover the entire process in control education experimentation. A case study with students from two universities shows that the implemented online laboratory framework can support massive students with minimum maintenance required.

Abstract: Imagine in the future people comfortably wear augmented reality (AR) displays all day, how do we design interfaces that adapt to the contextual changes as people move around? In current operating systems, the majority of AR content defaults to staying at a fixed location until being manually moved by the users. However, this approach puts the burden of user interface (UI) transition solely on users. In this paper, we first ran a bodystorming design workshop to capture the limitations of existing manual UI transition approaches in spatially diverse tasks. Then we addressed these limitations by designing and evaluating three UI transition mechanisms with different levels of automation and controllability (low-effort manual, semi-automated, fully-automated). Furthermore, we simulated imperfect contextual awareness by introducing prediction errors with different costs to correct them. Our results provide valuable lessons about the trade-offs between UI automation levels, controllability, user agency, and the impact of prediction errors.

Abstract: SDTrimSP is a popular simulation program to compute several effects of the interaction between an impinging ion and a solid, such as ion implantation ranges, damage formation or sputtering of surface atoms. We now introduce a graphical user interface for SDTrimSP to make its operation more accessible for a broad group of users. It is written as a separate Python program and is not restricted to any specific operating system. The interface allows a quick and easy start as well as the direct evaluation of SDTrimSP simulations. Its capabilities are demonstrated here in the form of several example cases, including the dynamic simulations with SDTrimSP, where ion-induced target changes are taken into account. The presented graphical user interface is made freely available to support a large number of users in performing simulations of ion–solid interaction.

Abstract: Herein, we present KiMoPack, an analysis tool for the kinetic modeling of transient spectroscopic data. KiMoPack enables a state-of-the-art analysis routine including data preprocessing and standard fitting (global analysis), as well as fitting of complex (target) kinetic models, interactive viewing of (fit) results, and multiexperiment analysis via user accessible functions and a graphical user interface (GUI) enhanced interface. To facilitate its use, this paper guides the user through typical operations covering a wide range of analysis tasks, establishes a typical workflow and is bridging the gap between ease of use for less experienced users and introducing the advanced interfaces for experienced users. KiMoPack is open source and provides a comprehensive front-end for preprocessing, fitting and plotting of 2-dimensional data that simplifies the access to a powerful python-based data-processing system and forms the foundation for a well documented, reliable, and reproducible data analysis.

Abstract: Due to advancement of new edge medical technologies, many methods have been applied to solve medical issues including machine learning approach. Cardiac Arrhythmia is one of the common diseases which can be solved using various machine learning approaches. There are many approaches which have already been introduced to classify arrhythmia and abnormality detection. This paper has a solution, introduces supervised and unsupervised models in which supervised models generate a good classification result. However, in this paper, we have also introduced a deep neural network classifier and used for prediction of arrhythmia if present based on some predefined value. In this paper, we have also connected it to the user interface to which the native users can check the level of arrhythmia.

Abstract: Inspiration from design examples plays a crucial role in the creative process of user interface design. However, current tools and techniques that support inspiration usually only focus on example browsing with limited user control or similarity-based example retrieval, leading to undesirable design outcomes such as focus drift and design fixation. To address these issues, we propose the GANSpiration approach that suggests design examples for both targeted and serendipitous inspiration, leveraging a style-based Generative Adversarial Network. A quantitative evaluation revealed that the outputs of GANSpiration-based example suggestion approaches are relevant to the input design, and at the same time include diverse instances. A user study with professional UI/UX practitioners showed that the examples suggested by our approach serve as viable sources of inspiration for overall design concepts and specific design elements. Overall, our work paves the road of using advanced generative machine learning techniques in supporting the creative design practice.

Abstract: Trust is an important component of human-AI relationships and plays a major role in shaping the reliance of users on online algorithmic decision support systems. With recent advances in natural language processing, text and voice-based conversational interfaces have provided users with new ways of interacting with such systems. Despite the growing applications of conversational user interfaces (CUIs), little is currently understood about the suitability of such interfaces for decision support and how CUIs inspire trust among humans engaging with decision support systems. In this work, we aim to address this gap and answer the following question: to what extent can a conversational interface build user trust in decision support systems in comparison to a conventional graphical user interface? To this end, we built a text-based conversational interface, and a conventional web-based graphical user interface. These served as the means for users to interact with an online decision support system to help them find housing, given a fixed set of constraints. To understand how the accuracy of the decision support system moderates user behavior and trust across the two interfaces, we considered an accurate and inaccurate system. We carried out a 2 × 2 between-subjects study (N = 240) on the Prolific crowdsourcing platform. Our findings show that the conversational interface was significantly more effective in building user trust and satisfaction in the online housing recommendation system when compared to the conventional web interface. Our results highlight the potential impact of conversational interfaces for trust development in decision support systems.

Abstract: This article introduces a unified and flexible experimental framework for massive online experimentation of control education. The new architecture adopts a front-end and back-end separation scheme based on React at frontend and Nginx at backend, and a single page application has been achieved to improve user experience. Multiple features and supporting technologies which provide a flexible, interactive, and real-time platform with enhanced sense of presence and user experience are discussed. The design and implementation of the proposed system are depicted in detail. With the implementation of online algorithm design, the unified framework enables all the functionalities such as web-based algorithm design, parameter tuning, visual configuration of customized user interface, and real-time control with remote and virtual laboratories, which cover the entire process in control education experimentation. A case study with students from two universities shows that the implemented online laboratory framework can support massive students with minimum maintenance required.

Abstract: Website is a computer service that is connected with hypertext facilities. A bad user interface that is made carelessly will affect the user experience (UX), so that the information to be conveyed cannot be received properly. The Design Thinking method is proven to be able to provide solutions in designing user interfaces based on the experience, emotions, and situation of the user (user experience). PD. BPR NTB Sumbawa has a website that can be said to have not maximized the function of the user interface and user experience in the manufacturing process. The results of the questionnaire with a Likert scale to 30 respondents resulted in 47% of users agreeing with the inaccurate website layout. Based on these problems, this research applies the Design Thinking method to analyze and develop user interfaces and user experiences. This research resulted in user empathy map, user persona, user interface design based on define, wireframe and prototype stages in responsive form made using Figma. The prototype results have gone through a direct testing process by the user and produced a better display design based on the Design Thinking Method stage. The prototype display design is expected to make it easier for users to use Thinking and increase interaction satisfaction between users and products.

Abstract: Deceptive design patterns (sometimes called “dark patterns”) are user interface design elements that may trick, deceive, or mislead users into behaviors that often benefit the party implementing the design over the end user. Prior work has taxonomized, investigated, and measured the prevalence of such patterns primarily in visual user interfaces (e.g., on websites). However, as the ubiquity of voice assistants and other voice-assisted technologies increases, we must anticipate how deceptive designs will be (and indeed, are already) deployed in voice interactions. This paper makes two contributions towards characterizing and surfacing deceptive design patterns in voice interfaces. First, we make a conceptual contribution, identifying key characteristics of voice interfaces that may enable deceptive design patterns, and surfacing existing and theoretical examples of such patterns. Second, we present the findings from a scenario-based user survey with 93 participants, in which we investigate participants’ perceptions of voice interfaces that we consider to be both deceptive and non-deceptive.

Abstract: Developing appropriate user interfaces is crucial for a positive user experience, as some users may require that the interaction supports specific interface elements for them. However, developing adequate interfaces for autistic users is not easy, as software development teams may not know how to design a user interface from the collected requirements. This paper presents a specific artifact, called Table of Requirements and Constraints, or simply TRC, to support interface design from requirements identification to prototype development of applications for the autism domain. Also, we identified quality attributes and defined a process to refine the requirements into user interface design ideas. We evaluated our proposal in an interface project development with industry practitioners to gather data on its feasibility. The obtained results indicate that these practitioners found that the artifacts guide the development team by defining an interface while providing opportunities for improvement in the requirements registration template to improve its use. With this work, we intend to support the professionals from the requirements identifications until the prototyping stage by developing and integrating these artifacts.

Abstract: Website based of technology information system widely using by organizations and companies. One of it’s application are inventory on Apotek rakyat anda. Apotek rakyat anda are pharmacy shop who sells medicines. Following the technology growth on the use of database electronic system digital based knowing as application or information system. This system has been made for the user based on user interface and user experience. The used of user interface for fulfing user needs and user experience for success parameter on the system that has been build. Methods for designing are Human-Centered Design (HCD) approach, for knowing system utility are System Usability Scale (SUS) method. Hoping this designing information system will help on inventory on Apotek Rakyat Anda.

Abstract: Alignment between business needs and Information Technology (IT) strategy is one of the main factors for the success of a business. One of them is about the interface design of the application used by the user. The current condition in the company is that marketing and sales activities only use social media such as WhatsApp and Facebook. These cause problems in two business activities, namely a less broad market coverage, frequent barriers to communication, less efficient delivery, and an obstacle to the recording by employees. This research aims to design a sales application user interface that suits business needs using a Design Thinking approach by collecting user characteristics using the User Persona tool. The test uses Usability Testing by giving 4 User Scenarios to each respondent to run and complete on the prototype. The test results show that respondents can complete all User Scenarios in the first iteration by 100%. Based on the test results, the design is good, in line with business needs, and accepted by potential users.

Abstract: Many packages serve as an interface between R language and the Application Programming Interface (API) of databases and web services. There is usually a 'one-package to one-service' correspondence which poses challenges such as consistency to the users and scalability to the developers. This, among other issues, has motivated us to develop a package as a framework to facilitate the implementation of API resources in the R language. This R package, rbioapi, is a consistent, user-friendly, and scalable interface to biological and medical databases and web services. To date, rbioapi fully supports Enrichr, JASPAR, miEAA, PANTHER, Reactome, STRING, and UniProt. We aim to expand this list by collaborations and contributions and gradually make rbioapi as comprehensive as possible.rbioapi is deposited in CRAN under the https://cran.r-project.org/package=rbioapi address. The source code is publicly available in a GitHub repository at https://github.com/moosa-r/rbioapi/. Also, the documentation website is available at https://rbioapi.moosa-r.com.Supplementary data are available at Bioinformatics online.

Abstract: Human-Computer Interaction (HCI) is the area of intersection between psychology and the social sciences. HCI assists companies in creating technological products accessible to individuals with disabilities. In addition, HCI helps user experience (UX) designers and other professionals understand each user's requirements relating to technology. This paper aims to give an overview of the concept of Human-Computer Interaction. The overview comprises basic definitions, frameworks, goals, and types of HCI. It also includes a voice user interface and sociophonetics in HCI. Finally, Norman's model of interaction and future scope are discussed.

Abstract: Contribution: This document presents a systematic bibliographic review that demonstrates the need to conduct research on how the user experience impacts the development of computational thinking. Background: In the field of computer science, computational thinking is defined as a method that enhances problem-solving skills, system design, and human behavior understanding. Over the last few decades, several tools have been proposed for the development of computational thinking skills; however, there is no area of study that evaluates the implications or the impact that these types of platforms have on users belonging to any knowledge area. Research Question: Do user interfaces influence the development of computational thinking skills? Methodology: To address this issue, a systematic review of the literature was conducted using the preferred reporting items for systematic reviews and meta-analyses (PRISMA) methodology for analyzing and evaluating scientific publications. Findings: The results show that despite the dearth of literature on the subject, the specific design of a user interface has a significant impact on the development of computational thinking. Bearing the above in mind, it is necessary to conduct research that delves more deeply into the effects caused by the technologies that are used to develop computational thinking, this being a line of research that is worthy of consideration.

Abstract: Computational approaches for user interfaces have been used in adapting interfaces for different modalities, usage scenarios and device form factors, understanding screen semantics for accessibility, task-automation, information extraction, and in assisting interface design. Recent advances in machine learning (ML) have drawn considerable attention across HCI and related fields such as computer vision and natural language processing, leading to new ML-based user interface approaches. Similarly, significant progress has been made with more traditional optimization- and planning-based approaches to accommodate the need for adapting UIs for screens with different sizes, orientations and aspect ratios, and in emerging domains such as VR/AR and 3D interfaces. The proposed workshop seeks to bring together researchers interested in all kinds of computational approaches for user interfaces across different sectors as a community, including those who develop algorithms and models and those who build applications, to discuss common issues including the need for resources, opportunities for new applications, design implications for human-AI interaction in this domain, and practical challenges such as user privacy.

Abstract: University Management Information Systems (UMIS) are a very essential part of a school’s ecosystem. Trying to build a functional UMIS is no longer a serious issue, these days as students interact with this system to perform tasks such as course registration, school fee payment, etc., the ease at which they do these activities is extremely important, any error or confusing experience they come in contact with can make the process dreadful for these users and demotivate them. This study would be centered on designing the User Interface (UI) and improving the UX of University Management Information Systems for web-based interfaces. User-Centered Design processes and system design thinking methodology were employed to solve the problem. Questionnaires were used to obtain the users' pain points as it relates to the existing UMIS in their schools, the responses were analyzed to understand the users’ pain and issues they face with their current UMIS and then decipher the right features to create a more usable interface. User personas and wireframes were used to make sense of the data obtained from user research. Figma, a visual design and prototyping tool was used for the prototype and interface design. The newly created interfaces were subjected to user testing using a platform called Maze. Users were able to interact with the platform and then answer certain questions as it relates to the developed system. Test data was used to measure usability parameters such as efficiency, effectiveness, learnability, ease of use and simplicity. From the testing phase, the developed system has a System Usability Score (SUS) of 87, it shows that users enjoyed using the system and could navigate through a platform they are interacting with for the first time, with little to no help. it was discovered that users prefer a simpler, responsive, and more interactive interface. Also, users were able to successfully complete tasks even though it is an interface they had never interacted with before. This study would address the usability issues students face while interacting with the UMIS platform provided for them by their institutions and also proposed a responsive and user-centered design which if implemented would improve students engagement on the platform and also reduce the constant problems that may arise from using the UMIS platform.

Abstract: Abstract: To meet the challenges of present computing, researchers working towards break away from traditional types of interaction. This paper identifies new trends in technology, it’s uses and advantage. We concluded that Gesture controlled user interface gives realistic opportunities especially for those users who are uncomfortable with commonly used devices. It’s appropriate for older and disabled people. Gesture controlled user interface has some potential to improve quality of life especially for older and disabled people along with general users. Keyword: Gesture control, user interfaces, elderly, appearing and ambient devices

Abstract: Accrediting the fast economic growth and the enhancement of people’s live standards, the overall household’s energy consumption is becoming more and more substantial. Thus, the need of conserving energy is becoming a critical task to help preserve energy resources and slow down climate change, which in turn, protects the environment. The development of an Internet of Things (IoT) system to monitor the consumer’s power consumption behavior and provides energy saving recommendation at a timely manner can be advantageous to shape the user’s energy saving habits. In this paper, we integrate the (EM)\(^3\) framework into a local IoT platform named Home-Assistant to help centralize all the connected sensors. Additionally, two smart plug systems are proposed to be part of the (EM)\(^3\) ecosystem. The plugs are employed to collect appliances energy consumption data as well as having home automation capabilities. Through Home-Assistant User Interface (UI), end-users can visualize their consumption trends together with ambient environmental data. The comparative analysis performed demonstrates great potential and highlights areas of future work focusing on integrating more sensing systems into the developed platform for the sake of enriching the existing database.

Abstract: Computers have been extended to a variety of devices, such as smart phones, tablets, and smart watches, thereby increasing the importance of responsive interfaces across multi-terminal devices. To ensure a consistent and sustainable user experience for websites and software products, it is important to study the layout, design elements, and users’ visual perception of different terminal interfaces. In this paper, the multi-terminal interfaces of 40 existing responsive websites were studied in a hierarchical grouping experiment, and six typical interface layouts were classified and extracted. Then, the main design factors affecting interface consistency of the responsive website were extracted and classified through eye tracking and a questionnaire survey. Finally, taking a sales management software tool (SA) as an example for design application, we successfully created responsive interfaces across multi-terminal devices with a consistent and sustainable experience.

Abstract: With the tremendous growth in mobile phones, mobile application development is an important emerging arena. Moreover, various applications fail to serve the purpose of getting the attention of the intended users, which is determined by their User Interface (UI) and User Experience (UX). As a result, developers often find it challenging to meet the users’ expectations. To date, several reviews have been carried out which explored various aspects of design and the experience of mobile applications using UX/UI. However, many of these existing surveys primarily focused on only some of the issues in isolation but did not consider all the major parameters such as visualisation/graphics, context, user behaviour/emotions/control, usability, adaptability/flexibility, language, and feedback. In our pilot survey, we gathered the preferences and perceptions of a heterogeneous group of concerned people and considered all the aforementioned parameters. These preferences would serve as a reference to mobile application developers, giving them useful insights. Our proposed approach would help mobile application developers and designers focus on the particular UI/UX problems of mobile applications as per their relevant context. A comparative analysis of the various UI and UX factors that determine a mobile application interface is presented in this paper.

Abstract: Background For the development of digital solutions, different aspects of user interface design must be taken into consideration. Different technologies, interaction paradigms, user characteristics and needs, and interface design components are some of the aspects that designers and developers should pay attention to when designing a solution. Many user interface design recommendations for different digital solutions and user profiles are found in the literature, but these recommendations have numerous similarities, contradictions, and different levels of detail. A detailed critical analysis is needed that compares, evaluates, and validates existing recommendations and allows the definition of a practical set of recommendations. Objective This study aimed to analyze and synthesize existing user interface design recommendations and propose a practical set of recommendations that guide the development of different technologies. Methods Based on previous studies, a set of recommendations on user interface design was generated following 4 steps: (1) interview with user interface design experts; (2) analysis of the experts’ feedback and drafting of a set of recommendations; (3) reanalysis of the shorter list of recommendations by a group of experts; and (4) refining and finalizing the list. Results The findings allowed us to define a set of 174 recommendations divided into 12 categories, according to usability principles, and organized into 2 levels of hierarchy: generic (69 recommendations) and specific (105 recommendations). Conclusions This study shows that user interface design recommendations can be divided according to usability principles and organized into levels of detail. Moreover, this study reveals that some recommendations, as they address different technologies and interaction paradigms, need further work.