User Expectations Research Articles

Evaluating Crowdsourcing Applications with Map-Based Storytelling Capabilities in Cultural Heritage

Crowdsourcing applications that integrate storytelling and geotagging capabilities offer new avenues for engaging the public in cultural heritage. However, standardised evaluation frameworks are lacking. This paper presents an applied evaluation methodology involving the analysis of relevant web-based tools. Towards this goal, this paper presents the development of crowdsourcing applications using, as a case study, the collection of myths and legends associated with the monumental heritage site of the Palace of the Grand Master of the Knights of Rhodes in Greece. Additionally, the paper presents an evaluation conducted through a criteria-based approach and user-based survey. The study reviews the concepts of crowdsourcing and digital storytelling within digital heritage, along with current concepts of living heritage and folklore, and examines relevant initiatives. The evaluation follows a four-stage methodology: (i) initial web-based tool selection based on the minimum requirements of web compatibility, crowdsourced data display, and map-based storytelling capability; (ii) application development using the selected web-based tools; (iii) a five-criteria assessment, based on the factors of open access, usability/tool support, participatory content/story creation, metrics provision and metadata model usage; and (iv) a crowd-based survey, indicating the most effective option. Findings from 100 respondents reveal limited exposure to participatory storytelling applications but interest in contributing content. Social media and influential figures serve as key channels for promoting crowdsourcing open calls. The results highlight gaps in understanding user expectations and perceptions, suggesting future research for gaining insights into engagement rates.

Roles and Abilities of Academic and Research Librarians in Optimizing Access to Information: An Interpretative Analysis from the Romanian Librarians’ and Users’ Perspective

Abstract This study addresses the role of Romanian academic and research librarians in optimizing access to information in the digital age, in relation to quality management and knowledge management. The novelty of this study consists in its parallel analysis of both librarians’ and users’ perspectives on librarians’ roles and abilities in optimizing access to information. The results obtained by means of interpretative qualitative analysis combined with descriptive quantitative analysis revealed that Romanian librarians succeed in providing good information services, however, the demands and expectations of users highlight a continuous need for integration of librarians into the mission of the universities and research institutes, and knowledge sharing and a series of innovations are recommended. The results obtained by interpretative analysis, combined with quantitative analysis for corroboration, point to four interrelated themes regarding the Romanian librarians’ roles and abilities in optimizing access to information. The first principal idea is that librarians’ abilities and competencies are key assets for Romanian academic and special research libraries. The second is that Romanian librarians need training in knowledge management and quality management. The third is that embedded librarianship and knowledge sharing could add quality to libraries services. Finally, the fourth is that competency management can determine engagement of Romanian librarians in improving access to information.

UI/UX Design of the Shop Feature on the Seafood by Aruna Website Using the Design Thinking Method

The current Seafood by Aruna website functions solely as a landing page to promote products, with actual sales still conducted through a marketplace. This reliance on a marketplace limits the brand's control over personalization, customer value, shopping experience, and brand identity due to strict platform policies and standards. Additionally, shifts in consumer behavior in the digital era indicate a desire for a more personalized, sustainable shopping experience that meets specific needs, including accurate product information and quality assurance. To address these challenges, this research aims to design an online shopping feature for the Seafood by Aruna website using the Design Thinking method. This approach is applied to understand user needs and address various pain points faced by consumers when shopping for seafood online. The research found that users require accurate delivery, reliable product information, and assurances of product freshness. Testing of the designed features using the System Usability Scale (SUS) yielded an average score of 90.12, categorized as "Best Imaginable." This score reflects that the developed features meet user expectations, thanks to the effective application of the Design Thinking method. The implications of this research suggest that developing a dedicated e-commerce platform enables Aruna to better control all aspects of the shopping experience, enhance customer satisfaction and loyalty, and strengthen its position in the e-commerce market. However, further development is needed to adapt the features to changing consumer behavior and market trends.

Analisis Website Siakad Universitas Janabadra Menggunakan Metode UAT

This research aims to comprehensively investigate and analyze the Janabadra University Academic Information System (Siakad) Website by applying the UAT (User Acceptance Testing) Method. This method is used as a framework to evaluate the level of user satisfaction with various aspects of the functionality, security, reliability and responsiveness of the Siakad website. The research involved collecting data through various approaches, including participant observation, in-depth interviews with active Siakad users, and distributing structural questionnaires. The results of an in-depth analysis of the usability dimensions include navigation, information structure, and user interface, while the security and reliability dimensions highlight aspects of data security and system availability. Website responsiveness is also analyzed to ensure optimal accessibility. The findings of this study provide a detailed picture of the strengths and potential for improvement in Siakad. The implications of the findings can serve as a basis for decision makers and developers to make specific improvements, ensuring that Siakad not only meets user expectations but also adheres to high security and performance standards. This study makes a significant contribution in the context of developing academic information systems in higher education institutions, illustrating the importance of the UAT Method approach as an effective evaluation tool. The findings of this research provide a detailed picture of the strengths and potential for improvement in Siakad. The implications of the findings can serve as a basis for decision makers and developers to make specific improvements, ensuring that Siakad not only meets user expectations but also adheres to high security and performance standards. This study makes a significant contribution in the context of developing academic information systems in higher education institutions, illustrating the importance of the UAT Method approach as an effective evaluation tool

Tool Development for Life Cycle Cost (LCC) of Wooden Building Envelope

The main goal of this study is to provide a platform for LCC calculation rules for timber buildings that comply with the Standards EN 16627:2015 and EN 15643-4, by employing a refined technical service life estimation. The database includes economic data for the building envelope and structural elements at the product level. In addition, the use phase of the building is included as maintenance, and the relevant economic data related to design failure, user preferences, and technical defects due to moisture. This model is under development as part of the WoodLCC project, with partners from Germany, Sweden, Norway, Estonia, Slovenia, and Austria, aiming to implement advanced methods to calculate accurate technical service life estimations and give the users the opportunity to evaluate the differences in building and maintenance costs based on different parameters. In this study, a data structure is created based on the necessary indicators and parameters for LCC calculation. An Excel model is developed, which will be used as a base for a software development in the WoodLCC project. Only wooden material is being considered for building envelope and bearing system. All material price data and installation times for each element is taken from a Norwegian dataset. This data is then modified for the selected European country using country specific labour cost- and material cost-indexes, convertible to the inquired currency. Inflation and escalation rates are considered for calculating the maintenance or repair that will occur in future. Material prices for different species and modification are included. Improved service life input data will enable more precise LCC for wood-based products, resulting in improved economic impact. LCC finds common acceptance only if reliable input data are available and complemented with knowledge about user expectations. We will evaluate the possibility of future improvements of such models.

EXPLORING A MOBILE APPLICATION FOR REPORTING NON-COMPLIANCE WITH HALAL STANDARDS: A PILOT STUDY

The purpose of this paper is to explore a mobile application for Halal Reporting Non-Compliance. The app is developed to enable users to report non-compliance with the Halal standards and encourage community involvement in promoting Halalan Tayyiban, as well as providing information and education on Halal issues. The project’s objectives include creating a user-friendly app for reporting Halal non-compliance, fostering transparency in the Halal industry, and educating consumers about Halal standards, certification, and compliance. To achieve these objectives, market research methods were chosen in order to assess the viability and value of developing a mobile application. A cross-sectional design using questionnaires was conducted as a pilot study to potential users between May and June 2023. Sixty-eight students participated in this survey. Regarding the most important factors that respondents consider in choosing a mobile application, 48 (70.6%) consider the accuracy of information and trustworthiness of the reporting system as the most important factor when choosing a mobile application that promotes Halal compliance and enables reporting of non-compliance with Halal standards. This initial research serves as a promising foundation for future development of the Halal Report app, with a clear understanding of user expectations and preferences.

The Approach for Identifying Opportunities in Product Innovation Design through Requirement Conflict Analysis

This study introduces a method to explore and broaden potential design avenues for a product by identifying opportunities for innovative design through requirement conflicts. The process involves clarifying user-expected demands using the Ideal Final Result approach and identifying potential conflicts by assessing product performance constraints and user expectations. Utilizing standardized representations of requirement conflicts, a knowledge retrieval technique based on expanding co-referential relationships is applied to analyze these conflicts. A judgment matrix is created to pinpoint clues for recognizing innovative design opportunities initially. Furthermore, the nine-windows method is utilized to expand and identify innovation opportunities along the time and system axis, leading to the identification of two types of innovation opportunities and their expanded outcomes. Ultimately, the method’s feasibility and practicality are validated by identifying innovative design opportunities within the context of the alpine tunnel construction system.

Exploring User Attitudes and Behavioral Intentions towards Augmented Reality Automotive Assistants: A Mixed-Methods Approach

As augmented reality (AR) technology is increasingly permeating the automotive industry, this study investigates users’ attitudes towards AR automotive assistants and their impact on usage behavior. Using the theory of reasoned action (TRA) and integrating insights from the Kano model, critical factors driving user acceptance and engagement were identified. The research reveals that trust in AR technology, perceived utility, and ease of interaction are prioritized by users. Clustering analysis identified three distinct user groups: a ‘Safety-Conscious Group’, a ‘Technology Enthusiast Group’, and an ‘Experience-Seeking Group’, each displaying unique preferences towards AR features. Additionally, a support vector machine (SVM) model effectively predicted user behavior with a training set accuracy of 89.96%. These findings provide valuable insights for the design and marketing of AR automotive assistants, acknowledging both essential features and delighters identified through the Kano model. By understanding user preferences and expectations, tailored AR solutions can be developed to enhance user satisfaction and adoption rates in the automotive sector. Moreover, this research contributes to the sustainable development goals related to the automotive industry by fostering innovation in vehicle technology, promoting eco-friendly driving practices, and enhancing overall mobility efficiency.

Pengamatan Testing Sistem Informasi Pada Website DemoBlaze

This project aims to test a dummy e-commerce website to ensure it meets the requirements and functions properly as expected. The testing is conducted using the Python programming language with IntelliJ IDEA as the Integrated Development Environment, and utilizing a tool called Selenium to test the website with Chrome WebDriver as the connector to execute commands on the Google Chrome browser. The testing process includes simulating various user activities such as registration, login, adding items to the cart on the website, and online payment transactions. Each testing step is designed to identify and fix potential issues, ensuring that all main website functions run smoothly and meet user expectations. Furthermore, this testing aims to evaluate students' ability to write effective testing scripts. By conducting this testing, students are expected to gain valuable practical experience in software testing and enhance their understanding of the importance of testing in the software development cycle. The results of this testing are expected to enhance students' understanding of the importance of testing in the software development cycle and ensure that the e-commerce site can provide an optimal user experience. Overall, this project emphasizes the importance of comprehensive and structured testing to seek high-quality software.

RGBfast – A user-friendly version of the Red-Green-Blue model for assessing greenness and whiteness of analytical methods

A new version of the popular RGB model has been developed to meet the expectations of users of greenness and whiteness assessment metrics. It has been called “RGBfast” due to its simplicity and significant assessment automation. The criteria were limited to six key parameters that are easy to objectively express numerically, which combine various features of analytical method determining its functionality and sustainability. A customized Excel sheet applies the entire procedure itself after entering the appropriate input data. The assessment outcomes are presented in concise and easy-to-interpret tables, which can be used as pictograms. RGBfast enables reliable comparison of alternative procedures dedicated to the same purpose, thus can be a good support during the validation of new methods and literature reviews. As a case study, the model was applied to compare five methods for the determination of phosphate using different types of (bio)sensors. Subtle differences between them have been captured and analyzed. The mathematical structure of the model can be modified in the future, for example to take potential opportunities offered by artificial intelligence technology.

Ranking Search Results Based on User Preferences in the Absence of Personalized Statistics

The article considers the algorithm of search results ranking according to the compliance with user's expectations due to the feedback on the data of search results pre-release, which allowed to reduce the time of search for the necessary information. A numerical experiment aimed at evaluating the effectiveness of the proposed approach on the example of real estate objects is presented. Aggregated data of real estate listings were used as data, and the results of user surveys were used to evaluate the relevance. TOPSIS and PROMETHEE methods were used as pre-ranking algorithms. The ranking results were combined considering their order in the output of both methods. To implement the next step of the algorithm, the pre-release list was partitioned into classes for which users selected a few objects they liked. Machine learning models were trained on the partitioned data. Based on their average accuracy and variance estimates, a naive Bayesian classifier model was selected and used for subsequent computations. The results of further experiments showed the possibility of taking into account personal preferences when organizing search and selection of objects of interest in the absence of personalized statistics on the example of real estate objects. As a result of the experiments, the time of searching a group of results of interest was reduced by 74 % on average.

Pathways linking expectations for AI chatbots to loyalty: A moderated mediation analysis

Despite the prevalence of generative AI chatbots such as GPT and Bard, scholarly inquiry into how users' enduring expectations influence their engagement with AI chatbots remains scant. Drawing on expectation violation theory, the present study examines how user expectations, informed by belief in machine heuristics and concerns over human uniqueness, impact chatbot loyalty through a moderated mediation framework. A questionnaire survey of 900 participants in China revealed that belief in machine capabilities bolsters users' perceptions of machine intelligence, which in turn, enhances user loyalty. Interestingly, when users encounter service failures that challenge their expectations, their perceived intelligence of the chatbot intensifies rather than diminishes. In contrast, expectations shaped by human uniqueness concerns diminish users' perceptions of machine intelligence and, consequently, their loyalty, which remains consistent regardless of the encounter with AI failure. The study also delves into the theoretical contributions of these findings to the evolution of expectation violation theory within the sphere of human-robot interaction.

Multi-objective early-stage design optimization of multifamily residential projects

The aim of this study is to find a building form and plan layout that can be used in the early stages of architectural design, where criteria such as daylight, view, sun-hour, sales area, and cost are optimized according to the different expectations of different housing type users. This study proposes a multi-objective early-stage design optimization for a real estate development project based on the NSGA2 genetic algorithm, considering weighted user preferences for different housing types. The framework is implemented using the platforms Rhino and Grasshopper; Wallacei is used for NSGA2, and Viktor.ai is used to deploy the app. Tested on six sample plots, the model was able to find architecturally optimized results that respond to different user expectations. While the model successfully demonstrated responsiveness to parameters, its focus on Pareto-optimal solutions limited the diversity of unit mixes generated. The model has been tested by professionals on a sample plot and is found to be important for architects and investors to generate ideas at an early stage of architectural design.

RANCANGAN DAN ANALISIS KELAYAKAN PEMENUHAN GIZI IBU HAMIL MELALUI APLIKASI MENU GIZI IBU HAMIL (AMEZI BUMIL)

Nutritional intake during pregnancy is crucial for the health of pregnant women and optimal fetal development. The Pregnancy Nutrition Menu Application (AMEZI BUMIL) was developed to ensure balanced nutritional intake. The research aims to analyze the Pregnancy Nutrition Menu Application (AMEZI BUMIL). This study uses the Research and Development (R&D) method to analyze the feasibility of AMEZI BUMIL. This Android application goes through the planning, validation, design revision, and testing stages. The educational media for the pregnancy nutrition menu application (AMEZI BUMIL) was validated by 6 competent nutrition experts and 3 competent IT media experts. Identifying the deficiencies of this application, the researchers conducted revisions based on the validation by media and content experts. The final stage in the product design is product testing, which was carried out by 10 pregnant women in the Telaga Biru Health Center area in Pontianak City. The sampling technique used purposive sampling with sample determination based on small group testing conducted on 10 individuals. This research collected primary data using questionnaires for validation and small-scale testing. Total assessment scores can be calculated using the Likert Scale formula. Data is presented descriptively, and results are presented in descriptive and tabular forms. This application achieves significant acceptance levels from users, healthcare professionals, and media experts, with positive ratings exceeding 80% for users and healthcare professionals and over 55% for media experts, indicating good suitability. This success reflects the potential for widespread public adoption of AMEZI BUMIL as it has met user expectations.

Service Quality Analysis of Unej Digital Library Using M-S-QUAL and Importance Performance Analysis Methods

A lot of library services are impacted by the expansion and advancement of information and communication technologies. With this modification, the traditional library services are now entirely digital. To carry out this digitalization, the Unej Digital Library (UnejDigiLib) application was created by the University of Jember's library. The purpose of developing this digital library application was to improve the effectiveness of library services, which were previously hindered by the COVID-19 epidemic. The UnejDigiLib developer has not yet evaluated the quality of its services since the application's release, therefore they are unsure of whether the current services satisfy user needs. Therefore, the goal of this study is to combine Mobile Service Quality (M-S-QUAL) and Importance Performance Analysis (IPA) in order to assess the UnejDigiLib service's quality based on user perceptions. The M-S-QUAL is used to determine service quality indicators and examine the gap between their performance and importance. After that, the service indications are mapped using the IPA based on their priority level. This study used the following six M-S-QUALl dimensions: compensation, privacy fulfillment, content, system availability, efficiency, and privacy. The findings indicate that user expectations have not been met by the UnejDigiLib service's performance. Meanwhile, the IPA analysis's findings indicate that the following indicators are found in quadrant 1: C3 (completeness of the book collection), C5 (suitability of the book collection with the curriculum lectures), C6 (updates to the book collection), and F3 (speed at which books download). This quadrant's indicators are the primary focus for improvement.

IMPROVING THE USER EXPERIENCE OF FINANCIAL TECHNOLOGY IT SERVICES BASED ON UX/UI RESEARCH

In today’s dynamic fintech environment, user requirements are constantly changing, and digital services need to be developed and adapted to meet their expectations and needs. UI/UX research technologies and methods provide rich opportunities to study user preferences and identify problems and shortcomings in existing digital services. The main aspects of improving the user experience of the mobile bank were reviewed. Recommendations were made for the further development of the IT service. The purpose of this article is to examine the main aspects of improving the user experience and to formulate recommendations for the development of IT services in the banking sector. Research methodology – at the first stage, an analysis of user behavior in fintech was carried out: a study of user expectations and preferences in the field of digital financial services. Then user experience was analyzed and UI/UX studies were conducted for the ‘Notification Center’ of the bank’s mobile application. The final stage of the study was to evaluate the effectiveness of the redesign project of the Notification Centre section of the bank's mobile application and to formulate recommendations for the further development of the mobile application.The research conducted has shown the practical importance of improving the user experience of the bank’s mobile application, which consists of improving usability, increasing customer satisfaction and improving the overall impression of banking services. This leads to increased conversion, customer retention and increased loyalty to the bank.Improving the user experience of the bank’s mobile application makes it possible to increase the efficiency of the bank’s employees, reduce the burden on the customer support department and reduce the number of errors when performing routine operations or actions. This not only optimises the bank’s internal processes, but also helps to improve the overall quality of service, which has a particular impact on the bank’s reputation, competitiveness and financial performance.

Smart Search Engine

Existing information retrieval systems, such search engines, must be improved due to the issue of having too much information on the web or in broad sectors. More consideration is needed. Integrated search tools that can manage searches and filters effectively and show relevant results The main sitting technology is bloated with ever-increasing volumes of data, much like the Internet. You'll have finished your keyword research and all of this information one day. Its capacity to deliver timely information that people are seeking. Search engines work to overcome the restrictions imposed by the conventional method of keyword research as a result. This study seeks to outline the primary issues that keyword search engines currently face in order to keep up with the rapid expansion of the web and to meet all user expectations in a timely manner. In the next section, it examines a number of models that are not dependent on keywords that have been created, created, or used by researchers and search engines, and rates those technologies in accordance with the aspects that each search engine prioritizes in order to deliver results.

The Operational Risk Management and Supplier Service Recovery in Improving Customer Satisfaction

Currently, many production facilities are very concerned about the sustainability of their production processes. Generally, ICS users need suppliers to maintain production facilities, especially during the operation period. Therefore, response of supplier is important to recover the critical equipment of production facilities such as ICS in Indonesia. In this study, ORM (Operational Risk Management) was chosen as one of the independent variables along with Supplier Service Recovery to create customer satisfaction who do not have a service contract with the supplier. Strategy of suppliers is needed to find good after sales service. There is a research gap in this study between the expectations of ICS users and their Satisfaction without considering long-terms relationship and long term marketing /business plan. This is conducted using a quantitative approach. Data collection method is done by providing a list of questions and sent to users maintenance managers where are located with in Indonesia. The 20 questionnaires are developed according to each variable. The 5-point Likert scale is used. The tool of analyze is using the Structural Equation Model with the WarpPLS 7.0. approach. ORM is found to mediate the relationship between supplier service recovery and customer satisfaction but supplier service recovery will not give impact to customer satisfaction directly. The ORM and Supplier Service Recovery are proven to bring satisfaction to ICS customers.

MODERNIZING REMOTE HIRING: IMPROVING EFFECTIVE RECRUITING WITH AI-POWERED VIRTUAL INTERVIEWS

Abstract – This study details the conception, creation, and assessment of a cutting-edge virtual interviewing tool intended to transform the interview procedure for a range of use cases, such as college applications and employment interviews. Using state-of-the-art technologies like Chat GPT, Node.js, React.js, AWS, and ASP. Net, C#, and Mongo DB, the application helps to cut down on administrative costs while streamlining the interview process and improving applicant experience and assessment. Due to the COVID-19 epidemic and the resulting rapid evolution of recruiting and recruitment procedures, virtual interview solutions have become necessary in order to support distant work and social distancing measures. Because of this shift, hiring procedures now use artificial intelligence (AI) and natural language processing (NLP) technology to reduce human bias and enable automated applicant evaluation. The online conversation Efficiency and user experience are given top priority in the application built for this project. Using an intuitive UI and smooth communication, applicants may participate in interactive interviews from the comfort of their homes. Both interviewers and candidates may save a significant amount of time by using the program to automate operations like arranging interviews, choosing questions, and rating candidates. An organized methodology is used in the development process, which includes phases for requirement analysis, design, development, testing, deployment, and assessment. User expectations and regulatory compliance are met by the program through incremental changes made possible by usability testing and stakeholder input gathering. The app’s ability to streamline conventional interview procedures and produce cost savings, greater applicant satisfaction, and efficiency are what make it significant. By demonstrating how cutting-edge technology are integrated and resolving legal and In light of ethical concerns, this study advances the domains of educational technology and staffing, opening the door for new developments. Keywords – The virtual interviewing tool utilizes Chat GPT for AI-driven interactions, Node.js for server-side operations, and React.js for a dynamic user interface. AWS provides scalable cloud infrastructure, while ASP.NET and C# manage application development and business logic. Mongo DB is the database solution, storing applicant data and interview information. Together, these technologies streamline the interview process, reduce administrative costs, and enhance applicant experience and assessment accuracy.

Investigating library users’ perceived indoor environmental quality: SEM-Logit analysis study in a university library

This study aims to identify the key factors that influence library users’ satisfaction with the indoor environmental quality (IEQ) in a contemporary university library, focusing on both perceived IEQ and individual user characteristics. Through a thorough literature review, it pinpoints indoor environment quality (IEQ) and individual users characteristics as critical influences of satisfaction. Data were collected from 404 users within four specific study areas of a selected university library. The study employs structural equation modeling (SEM) and generalized ordered logistic regression (GOLRM), to examine the relationships between perceived IEQ factors and user satisfaction. The SEM showed a good fit and highlighted significant impacts of acoustic quality (coefficient = 0.24, p < 0.01) and interior design (coefficient = 0.65, p < 0.001) on satisfaction. GOLRM analysis revealed that factors such as “age” (odds ratio = 0.810, p = 0.039), “feeling” (odds ratio = 1.420, p = 0.017), and “location (6th floor group-based study area)” (odds ratio = 2.844, p = 0.004) significantly enhance satisfaction, though advancing from medium to higher satisfaction levels poses challenges. These insights suggest that customizing library spaces to meet diverse user needs can markedly improve satisfaction. The study underscores the importance of integrating environmental and personal factors in library design and showcases the effectiveness of SEM and GOLRM in exploring complex interactions within built environments. This approach offers a valuable framework for designers and facility managers to align library spaces with user expectations, making a substantial contribution to the field of built environmental design research.