Abstract: Virtual reality (VR) has demonstrated significant potential in enhancing STEM education through immersive visualization and interactive learning experiences. Recent advances in large language models present new opportunities to integrate AI teaching assistants (AI-TAs) into VR educational applications. This paper presents a case study evaluating the user experience and perceived effectiveness of an AI-TA integrated into a custom VR physics education module for crystal structure learning. We developed a system combining a fine-tuned Llama 3 language model with a 3D avatar interface and voice interaction capabilities. Through workshops with 10 graduate physics students, we compared traditional instruction methods with VR-based learning enhanced by AI-TA support. Participants evaluated the system using modified usability scales and provided qualitative feedback on their learning experience. Results indicate moderate user satisfaction across key dimensions including interface usability, explanation quality, and information relevance, with users expressing strong preference for VR-based crystal structure manipulation over traditional methods. However, the AI-TA integration faced challenges in seamlessly complementing the VR experience, highlighting important design considerations for future implementations. This study contributes initial insights into the challenges and opportunities of integrating conversational AI with immersive educational technologies, with findings suggesting that while AI-VR integration shows promise, success depends on careful attention to multimodal interaction design and system synchronization.

Abstract: PLN Mobile is a mobile-based application developed by PT PLN (Persero) as a superapp to accommodate customer needs related to electricity services. This study aims to evaluate the user experience of PLN Mobile using the User Experience Questionnaire (UEQ), as well as validity and reliability testing through Pearson Product Moment and Cronbach’s Alpha. Several issues were identified, including the absence of daily electricity usage information, the lack of a searchbar function on the homepage, and the unavailability of an user guide for first-time users. After filtering, 415 valid responses were analyzed. The validity test confirmed that all items were valid (r-value >r-table, sig. 0.05<), while the reliability test indicated acceptable consistency with a Cronbach’s Alpha of 0.675. The UEQ analysis results indicate that Perspicuity obtained the highest score (1.32) in the Above Average category, meaning that PLN Mobile is easy to understand and learn, which makes users quickly adapt to the application. To resolve these issues, this study proposes interface improvements, including daily electricity usage information, a homepage searchbar, and an interactive user guide. These enhancements are expected to improving both interface quality and user experience, thereby supporting PLN digital transformation efforts in delivering accessible, useroriented public services.

Abstract: Abstract The objectives of the study were to determine the interplay that exists between UX and UI design influence user engagement and learning outcomes in e-learning platforms and to establish the implications of defining UI as a distinct discipline versus a subset of UX on the design processes and collaborative practices within digital product teams. The study employed a qualitative research design with an interpretive philosophy to understand the subjective and socially constructed meanings expressed about the phenomenon under investigation. The study collected data using open-ended questionnaires from designers. The gathered data sheds light that UI is simply a by-product of good UX, which firmly places it under the UX umbrella. UX strategy, user research, information architecture, usability testing, and visual problem-solving for the user are all fundamentally focused on the user and UX cannot be separated from all the stages of the design process. The findings also revealed that designers should stop saying UI/UX since they are two different areas; hence, this shows that they don’t understand the discipline. In response to this study’s limitations, recommendations for future research were also addressed.

Abstract: The purpose of this chapter is to describe the research methodology and design to be implemented in a study towards harnessing learner content and user interface design for basic education. Against the background of harnessing generative Artificial Intelligence (AI) for science education, the main focus of the chapter will include an emphasis on the challenges and opportunities related to ethical Generative Artificial Intelligence (GenAI) use in Science, Technology, Engineering and Mathematics (STEM) education.

Abstract: This research focuses on designing an intuitive and engaging user interface (UI) for the food ordering app at Cafe Masbon Appetit. In the rapidly evolving digital technology landscape, the challenge of interface design often arises when it fails to match actual user needs. This directly impacts low levels of user satisfaction and engagement, a crucial issue that needs to be addressed to ensure the app's adoption and sustainability. To address this issue, we adopted a Design Thinking approach. This methodology was chosen for its ability to foster innovative, human-centered solutions, to improve user convenience, ease of use, and overall interaction with the app. The research process began with the collection of comprehensive user needs data through in-depth interviews and questionnaires distributed to the target audience. The collected information was then analyzed to identify pain points and user preferences. Based on the data obtained, the design solution was realized in the form of an interactive prototype. This prototype was then tested for effectiveness through a series of user tests to validate its functionality and usability. The research results consistently showed that the app successfully provided significant convenience in the food ordering process, increased time efficiency, and delivered a significantly better user experience. This was reflected in the high usability scores, which reflected a substantial level of user satisfaction.

Abstract: A clinical decision support system for primary care can support the diagnosis of patients with unclear diseases by exchanging information with the patients. In a user-centred design process, we want to elaborate which tasks these stakeholders would like to perform in the system and how these requirements can be meaningfully integrated into the system, taking into account the needs of general practitioners as main stakeholder. 3-steps including user requirement analysis, derivation of functional requirements and development of a first prototype were conducted. This process led to 23 user requirements and 9 common functional requirements of both stakeholder groups, as well as a first prototype of the patient dashboard. The early inclusion of various user feedbacks facilitated the implementation of a user interface for a user-friendly decision support system.

Abstract: We introduce a web-based interface for visual art recommendations, empowering users to adjust popularity and diversity through intuitive sliders. Built on the SemArt dataset and leveraging multimodal BLIP features, ArtEx allows users to fine-tune recommendations across dimensions like genre, time period, and artist. This demo paper presents ArtEx’s interactive interface, showcasing its ability to enhance user engagement and satisfaction through transparent, user-driven personalization.

Abstract: AIXtal is an accessible refinement platform designed specifically for first-time users. It includes a simplified user interface with reduced complexity, tutorials, tooltips and AI helpers for assistance. Currently, AIXtal supports GSAS-II and Fullprof (undergoing a refactoring) refinement of powder X-ray diffraction data. The platform provides visualization of structural, experimental and refinement data, including graphical background selection. The user is supported by on-demand assistance on refinement parameters, either through short tooltips or an AI guide that semi-quantitatively assesses the last refinement result/parameter and recommends next refinement steps. For more in-depth investigation, the user can also access a compact view (web or PDF) of the refinement parameters, including esd's. If unfavorable refinement steps are indicated, the user can rely on the history function to jump back to any point in time. AIXtal also allows the user to export the refinement results in GPX format for further analysis with GSAS-II, if required. The platform AIXtal v1 with this functionality is in alpha state and was tested with students of chemistry lab course in April/May 2024. AIXtal v2 is currently being developed based on the experience from AIXtal v1 and in order to broaden the use case scenarios. With multiple modes of operation, adding an expert mode with full refinement control to the simplified interface, it opens up for future developments of a more universal GUI for Rietveld programs also addressing other common, related crystallographic issues, e.g., a space group prediction. Furthermore, the web interface now runs on WebAssembly, which promises performance gains, and moreover now runs not only in the WebBrowser but also natively on Windows and Linux to allow a local installation as well. The GSAS-II implementation has also been extended to support refinement and visualization of multi-dimensional (angular and wavelength dispersive) data sets. Current status, AI-helpers and features of AIXtal as well as its technical design principles are shown.

Abstract: SAKTI is an Enterprise Resource Planning (ERP) system developed by Indonesia’s Ministry of Finance, integrating 11 modules to support State Budget management. Despite its critical role, a decline in the 2023 user satisfaction index highlighted usability and service quality issues. This study offers user interface improvement by evaluating usability and user experience of the contract data recording feature. Using mixed methods, data from 23 respondents were collected for both quantitative and qualitative analysis. Quantitative data, obtained through the System Usability Scale (SUS) and User Experience Questionnaire (UEQ), yielded an initial SUS score of 67.39 (grade C) and a UEQ attractiveness index of 1.13. Qualitative data from open-ended questions, interviews, and usability testing identified 12 usability issues. A high-fidelity prototype, guided by User-Centered Design (UCD) principles, improved the SUS score to 84.35 (grade A+) and addressed usability challenges. It enhanced usability, creating an intuitive and efficient interface that increased user satisfaction.

Abstract: <p class="5Abstract">Nowadays, the development of the job market is becoming increasingly competitive. Companies have various specific criteria for their prospective employees. In addition to having a degree, job candidates are also required to possess various soft skills. Therefore, Telkom University, through the Career Development Center (CDC), strives to prepare its students for employability. The Career Development Center (CDC) at Telkom University operates a website that serves as a digital platform for information sharing and interaction with both students and alumni. However, based on the results of the observation, issues were found on the website, including a user interface that is considered neither informative nor visually appealing. Considering the main function of this website is as a center for information and interaction among the academic community, a redesign of the CDC Telkom University website is necessary using a design thinking approach as the design method. Data was collected through observation and interviews, which were then analyzed using descriptive analysis methods to produce a user interface design that meets user needs. The result of this design process produced a new CDC website design in the form of a high-fidelity prototype that has undergone testing using the usability testing method and received positive feedback from end users. Through the redesign of this website's user interface, it is hoped that a good user experience will be achieved, allowing the Career Development Center of Telkom University to optimally convey information.</p>

Abstract: The objective of the study is to enhance user experience within the Digital Population Identity Application (DPIA), known as Identitas Kependudukan Digital (IKD), through interface redesign for public administration services in Indonesia. The research employs a user-centered design methodology structured around five sequential phases: user experience analysis, challenge identification, solution ideation, prototype development, and evaluation testing. Data collection involves user interviews and direct observation of application usage patterns. The application prototype underwent redesign based on identified challenges and was subsequently evaluated through quantitative survey methods focusing on usability metrics. Post-redesign testing revealed substantial improvements in ease of use, navigation efficiency, and user comfort levels. The study outcomes aim to advance user-friendly public service applications and may serve as a framework for developing additional digital systems requiring direct community-government interaction.

Abstract: Abstract: In this paper, we present JARVIS, a sophisticated desktop assistant meticulously crafted to redefine task execution by seamlessly blending voice and text inputs. JARVIS represents a paradigm shift in desktop interaction, empowering users with swift and intuitive control over their computing environment. By deftly managing application launches, file organization, and system adjustments based on user directives, JARVIS eliminates the drudgery of manual navigation, heralding a new era of productivity enhancement. Central to JARVIS's prowess are its advanced processing algorithms, meticulously engineered to accurately interpret and execute user commands. This technological prowess enables JARVIS to engage in natural and intuitive interactions, effortlessly understanding and fulfilling user requests with precision. Moreover, JARVIS boasts a customizable interface and a suite of accessibility features, ensuring a tailored experience that caters to diverse user preferences and needs.At the heart of JARVIS lies its commitment to efficiency. Through efficient task management, JARVIS streamlines workflows, liberating users from mundane tasks and enabling them to focus on more meaningful endeavors. Whether it's organizing files, scheduling tasks, or fine-tuning system settings, JARVIS excels in optimizing user productivity while conserving valuable time and energy. Through rigorous evaluation and user feedback, we substantiate JARVIS's effectiveness in enhancing desktop productivity and facilitating seamless computing experiences. By presenting JARVIS as a versatile and user-centric solution tailored to modern computing needs, our paper contributes to the advancement of desktop assistant technology, paving the way for a future where human-computer interaction is intuitive, efficient, and empowering .Keywords— JARVIS, Desktop assistant, Productivity enhancement, Natural interaction, Workflow optimization

Abstract: The current Deliverable presents the second evaluation of the proposed MiniStor design of the user interaction, configuration, interfaces and features from representative subjects. For this second version, the evaluation methodology has been extended from users in the pre-demonstration site to residential users in the demonstration sites of the project. The methodology involved surveys to collect responses concerning user satisfaction with the system, evaluation of the degree of accessibility of the controls, ease of use, etc. Survey respondents had access to the interface while answering questions. Information has been analysed and compared with responses to the first stage evaluating the degree of improvement achieved. During this process all data collected from users have been anonymized and treated under GDPR guidelines. Results show that users at the pilot sites found their interaction with the user interface agreeable and the information clearly presented. Aspects for improvement are also mentioned.

Abstract: AIXtal is a web-based easy-access refinement platform to cater specifically first-time users. AIXtal offers a simplified user interface with reduced complexity, including tutorials, tooltips, and AI helpers for assistance. Currently, AIXtal supports GSAS-II and Fullprof refinements on X-ray powder diffraction data. The platform provides the visualization of structural, experimental and refinement data, including a simplified, graphical background selection. The user is assisted by on-demand assistance on refinement parameters, either by short tooltips or by an AI-guide semi-quantitatively judging the last refinement result/parameters and thereby recommending next refinement steps. For more in-depth investigation, the user may also access a compact view (web or PDF) of refinement parameters, including esd’s. If unfavorable refinement steps are indicated, the user can trust on the history function to jump back to any time wanted. Additionally, AIXtal allows users to export the refinement results in GPX format, allowing for further analysis with GSAS-II, if needed at all. Current status, AI-helpers and features of AIXtal as well as its technical design principles are shown.

Abstract: I-Nusaplant is a mobile-based application that can detect types of medicinal plants. The I-Nusaplant application was designed by Information Systems students using Android-based leaf images. This application aims to help the community in detecting medicinal plants. The ease of detecting medicinal plants using the application must also be supported by a good appearance and user experience. I-Nusaplant has 3 menus in it, namely Home, Detection, and About. The I-Nusaplant application has shortcomings after conducting interviews with medicinal plant experts, medicinal plant enthusiasts, and general users. The majority of respondents chose the I-Nusaplant application to be redesigned for several reasons related to user experience in running the application. Ease of obtaining information, time to move around each menu, and some features that users need. In doing a redesign, it is necessary to have an in-depth design using UI/UX. The design process in solving problems and generating user needs, researchers use the Design Thinking method to generate ideas to solve user problems. At the analysis stage, problem analysis is carried out, finding solutions to user problems, analyzing user needs. In the design stage, UI/UX design is produced, namely architecture information, user flow, and interface design. UI/UX design will be tested using the Maze tool. After that, compare the results of the old and new I-Nusaplant interface designs using the A/B Testing method. This method aims to see the performance of the old and new application designs. Our A/B testing revealed that the new design, while more complex, is just as efficient as the old one, both scoring 99 this shows that the new design is easy to use by users despite its different design.

Abstract: This study investigates the usability of the TALENESIA Human Resource Information System (HRIS) through Jakob Nielsen’s heuristic evaluation framework. The evaluation identified 34 usability issues, comprising five critical and 29 major problems. The most commonly violated heuristics included Visibility of System Status, Recognition Rather Than Recall, and Error Prevention, indicating significant barriers to user efficiency and satisfaction. To address these concerns, a series of interface redesigns was developed based on expert recommendations and user-centered design principles. The redesigned interfaces were subsequently validated through structured feedback sessions involving both usability experts and end users. The validation phase revealed that 85% of the proposed changes were fully approved, confirming the practical value of the improvements. These enhancements led to a more intuitive, responsive, and error-tolerant system experience for users. The study highlights the importance of heuristic evaluation as a diagnostic tool and demonstrates how iterative redesign—guided by usability principles—can significantly improve the effectiveness and user experience of HRIS platforms. Ultimately, the research offers both a methodological contribution to usability testing and practical insights for organizations seeking to optimize their digital HR systems.

Abstract: Η διατριβή αφορά τα συστήματα διάχυτου υπολογισμού (Ubiquitous Computing Systems - Ubicomp), και προωθεί τη συμμετοχή στη διαμόρφωση και τον έλεγχο τους από τους τελικούς χρήστες. Διερευνώνται από τη σκοπιά της διαδραστικής σχεδίασης μέθοδοι, μοντέλα και μηχανισμοί διεπαφής, έτσι ώστε οι τελικοί χρήστες να αποκτήσουν ένα μεγαλύτερο βαθμό προσβασιμότητας στα οικιακά περιβάλλοντα διάχυτου υπολογισμού.Τα αποτελέσματα της παρούσας έρευνας ισχυροποιούν την άποψη πως η πρόσβαση των χρηστών με στόχο το σχεδιασμό εφαρμογών διάχυτου υπολογισμού είναι μία προσέγγιση έγκυρη, η οποία πρέπει να διερευνηθεί περισσότερο, και να υποστηριχθεί από κατάλληλα συστήματα και πλατφόρμες διάχυτου υπολογισμού. Προωθείται η αντίληψη πως ο σχεδιασμός του συστήματος οφείλει να συμπεριλάβει την προσβασιμότητα από τους τελικούς χρήστες. Στο πλαίσιο αυτό της αναγκαιότητας δραστηριοποίησης των χρηστών δίνεται μια επισκόπηση σχετικών εργαλείων και μεθόδων διάδρασης. Τέλος, η έρευνα αυτή προσδιορίζει σφαιρικά τις διαστάσεις ενός εννοιολογικού και μεθοδολογικού πλαισίου για το σχεδιασμό συστημάτων διάχυτου υπολογισμού, τα οποία υποστηρίζουν τη δραστηριοποίηση των χρηστών και την ενδυνάμωση της δημιουργικότητάς τους.

Abstract: <p>This deliverable presents the outcomes of Task T1.1, Multi-Actor and Knowledge Centres Co-Design and Requirements Definition, within Work Package 1 (WP1) of the All Data for Green Deal (AD4GD) project. It builds upon the foundations laid in Deliverable 1.1 and documents the iterative process of refining user requirements for the Green Deal Data Space (GDDS).</p> <p>A central element of this process was the Co-Design Workshop, held in September 2023, which brought together project partners and stakeholders to collaboratively define user needs for two pilot applications—Lake Splashboard and BioConnect—as well as the broader General User Interface of the GDDS. Through participatory design methods, user journeys were created, initial prototypes were developed and user stories extracted. These prototypes were subsequently evaluated by potential end users, leading to the identification of additional user needs and refinement of existing user stories.</p> <p>As a result of this iterative process, a total of 115 user requirements were formulated, 30 requirements for Pilot 1, 49 requirements for Pilot 2 and 34 requirements for the General User Interface of the GDDS. This deliverable concludes the requirements definition phase, providing structured foundation for the implementation of the GDDS tools. The methodology applied, based on Human-Centered Design (HCD) principles, ensures that user needs remain central throughout the development process.</p>

Abstract: Background: Design processes such as human-centered design (HCD), which involve the end user throughout the product development and testing process, can be crucial in ensuring that the product meets the needs and capabilities of the user, particularly in terms of safety and user experience. The structured and iterative nature of HCD can often conflict with the necessary rapid product development life-cycles associated with the competitive connected health industry. Objective: The aim of this study was to apply a structured HCD methodology to the development of a smartphone app that was to be used within a connected health fall risk detection system. Our methodology utilizes so called discount usability engineering techniques to minimize the burden on resources during development and maintain a rapid pace of development. This study will provide prospective designers a detailed description of the application of a HCD methodology. Methods: A 3-phase methodology was applied. In the first phase, a descriptive “use case” was developed by the system designers and analyzed by both expert stakeholders and end users. The use case described the use of the app and how various actors would interact with it and in what context. A working app prototype and a user manual were then developed based on this feedback and were subjected to a rigorous usability inspection. Further changes were made both to the interface and support documentation. The now advanced prototype was exposed to user testing by end users where further design recommendations were made. Results: With combined expert and end-user analysis of a comprehensive use case having originally identified 21 problems with the system interface, we have only seen and observed 3 of these problems in user testing, implying that 18 problems were eliminated between phase 1 and 3. Satisfactory ratings were obtained during validation testing by both experts and end users, and final testing by users shows the system requires low mental, physical, and temporal demands according to the NASA Task Load Index (NASA-TLX). Conclusions: From our observation of older adults’ interactions with smartphone interfaces, there were some recurring themes. Clear and relevant feedback as the user attempts to complete a task is critical. Feedback should include pop-ups, sound tones, color or texture changes, or icon changes to indicate that a function has been completed successfully, such as for the connection sequence. For text feedback, clear and unambiguous language should be used so as not to create anxiety, particularly when it comes to saving data. Warning tones or symbols, such as caution symbols or shrill tones, should only be used if absolutely necessary. Our HCD methodology, designed and implemented based on the principles of the International Standard Organizaton (ISO) 9241-210 standard, produced a functional app interface within a short production cycle, which is now suitable for use by older adults in long term clinical trials.

Abstract: Social Media platforms are increasing user engagements with their attractive User Interfaces (UI) design playing a crucial role in maintaining user involvement. Use of Emotional Intelligence (EI) into the UI transforming user interaction and engagement pattern significantly. With an emphasis on how design decisions affect user behaviour, this study explores the nuanced function of EIUIs (Emotionally Inteligence User Interfaces) in the context of social media. It specifically draws attention to the dangers of manipulative techniques like &quot;dark patterns&quot;-purposeful interface strategies intended to influence users to take actions they might not have otherwise taken-as well as the possibility of constructive involvement. By investigating these practices, the paper hopes to clarify the wider ethical consequences of interface design as well as the duty of platforms and designers to promote transparency, autonomy, and confidence in digital interactions. This paper aims to contribute to the discourse on user interface design by providing a comprehensive understanding of EIUIs&apos; potential and pitfalls in the context of social media interactions. Additionally, this study focusses on finding information of the pattern of Emotionally Intelligent User Interfaces (EIUI) design to enhance user engagements emotionally and tend to take decisions and the impact of the design pattern in user experience.

Abstract: The application of digital technology in the worker health screening process is an important need in the industrial work environment, especially in supporting the effectiveness and efficiency of the OHS medical team's work. This research aims to design a user interface for the AppSheet-based worker health screening application using the Design Thinking approach. This method was chosen because it is centered on user needs and is able to produce innovative solutions through the stages of Empathize, Define, Ideate, Prototype, and Testing. Data collection was conducted through interviews and observations of five respondents from the OHS medical team and five department representatives. Assessment of the design was carried out using the usability testing method, with efficiency, effectiveness, and System Usability Scale (SUS) parameters. The results showed that the Design Thinking approach was able to produce an application interface that meets user needs, improves understanding of workflows, and minimizes recording errors. The developed application not only supports the digital health evaluation process, but also has the potential to reduce administrative burden and improve the quality of medical services at PT Petrokimia Gresik.