ESTiG - Publicações em Proceedings Indexadas à WoS/Scopus
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- Using websites to disclose information on human capital: an exploratory study in the portuguese banking sectorPublication . Carmo, Cecília M. R.; Leite, Joaquim; Lima, BeatrizThis study examines the use of websites by Portuguese banks to disclose information about their human capital. For this purpose, a manual content analysis was carried out, based on an analysis grid that allows to identify the elements that are disclosed. The results show that banks already use websites to disclose information on human capital, but at a low level. There are also topics related to human capital information that no bank discloses on its website.
- Sahub - stackoverflow and comments integrationsPublication . Oliveira, André; Matos, Paulo; Oliveira, Pedro FilipeThis paper proposes a novel approach for connecting StackOverflow discussions and open source codebases through a graph database model in Neo4j. By encouraging developers to adopt a structured annotation framework using widely known tags such as @ author, @description, @ link, @tags, and optional fields such as @operatingSystem and @fileExtension, the paper will discuss how to link code snippets to specific technical questions. These annotations are then analyzed, creating an interconnected knowledge graph that can associate StackOver-flow questions with real-world code examples and additional documentation pulled directly from code snippets.
- Tourism ecosystems new challengesPublication . Guarda, T.; Augusto, Maria Fernanda; Villao, Datzania; Lopes, Isabel Maria; .The global challenges in terms of climate change, sustainability and traveler behavior are having a profound impact on tourism ecosystems, which are evolving. This paper identifies these challenges and recommends novel governance solutions to enable sustainable tourism ecosystem ports. Through an integration of ecological balance and economic efficiency, they underscore the importance of interdisciplinary approaches that account for environmental, cultural and socioeconomic aspects. Examples such as the sustainable management of the Galápagos Islands highlight the feasibility of integrating conservation and tourism development within fragile ecosystems. This research highlights the importance of aligning global tourism trends with local characteristics through an investigation of emerging trends and key sustainability principles. The results indicate that multi-stakeholder collaboration, adaptive strategies, and technology-driven innovations are necessary for successful tourism ecosystem management, balancing conservation with economic growth.
- Optimization of machine learning models applied to robot localization in the robotatfactory 4.0 competitionPublication . Klein, Luan C.; Mendes, João; Braun, João A.; Martins, Felipe N.; Fabro, João Alberto; Costa, Paulo; Pereira, Ana I.; Lima, JoséSeveral approaches have been developed over time aiming to improve the localization aspects, especially in mobile robotics. Besides the more traditional techniques, mainly based on analytical models, artificial intelligence has emerged as an interesting alternative. The current study proposes to explore the machine learning model structure optimization for pose estimation, using the RobotAtFactory 4.0 competition as the main context. Using a Bayesian Optimization-based framework, the parameters of a Multi-Layer Perceptron (MLP) model, trained to estimate the components of the 2D pose (x, y, and !) of the robot were optimized in four different scenarios of the same context. The results obtained showed a quality improvement of up to 60% on the estimation when compared with the modes without any optimization. Another aspect observed was the different optimizations found for each model, even in the same scenario. An additional interesting result was the possibility of the reuse of optimization between scenarios, presenting an interesting approach to reduce time and computational resources.
- The importance of using biometric sensors in elderly peoplePublication . Guarda, T.; Vitor, J.A.M.; Lopes, Isabel Maria; .The world population is aging. Aging brings several health issues that society is challenged to overcome. There is a pressing need to have effective solutions to monitor the health conditions of the elderly population. Keeping track of elderly health conditions can prevent some diseases and allow early diagnosis and treatment, enhancing the elderly’s quality of life. Biometric sensors are a great solution because they do not just measure health conditions but are able to provide a picture of how an individual is. Studies have already shown the potential of using biometric data for researching new health prevention approaches, improving selected aspects of health care, and personalizing hyper medication. The ultimate goal would be to achieve the so-called personal medicine [1]. These considerations invite an examination of the state of the art of the technologies used on this topic.
- Non-governmental organizations and innovation in the fish productive chain: combining the lenses of the sustainability balanced scorecard and information systemsPublication . Leite, Joaquim; Carmo, Cecília M. R.; Almeida, DanilsaThe objective of this research is to understand how to use the theoretical lens of the Sustainability Balanced Scorecard (SBSC) and information systems to explain innovation in the fish productive chain. The research method was the case study of a single Non-Governmental Organization (NGO) in São Tomé and Príncipe. Evidence was collected from content analysis and a long interview with the president of the NGO’s board of directors. The results showed that each new international funding for the NGO depends on the satisfaction of the partners involved (volunteer donors and beneficiaries/users) in previous projects, which in turn depends on the investment in facilities and equipment. Sustainability and innovation, as NGO’s strategic objectives, can be explained in the four traditional perspectives of the BSC because it is important to interpret the financial and non-financial effects.
- Exploring wearable device acceptance: an empirical studyPublication . Sá, Matheus Beltrame de; Niada, Áurea; Pereira, João Paulo; Lopes, Isabel MariaIn this study, the objective was to understand the receptivity to wearable devices in Portugal and Brazil, analyzing factors such as demographic characteristics, technological experiences and personal opinions. To achieve this, we adapted the Unified Technology Acceptance and Use Model 2 (UTAUT2) model and collected responses from university students and frequent internet users using a Likert scale questionnaire. Data analysis revealed a majority of Portuguese participants and a stronger trend of acceptance among the youngest, most educated and those with the greatest affinity with technology, especially men. The proportion of users and non-users of wearables was balanced, with greater acceptance among individuals aged 35 to 59, women and those with a positive attitude towards technology. Surprisingly, social influence did not prove to be as decisive in the acceptance of wearables as initially assumed. The results indicate a growing preference for the adoption of these devices, but also point to challenges related to the perceived value and, consequently, the cost of the products, which suggests a promising terrain for future research and technological advances.
- CVTool: automating content variants of cvsPublication . Gonçalves, Julio Beites; Pereira, Maria João; Henriques, Pedro RangelAs academic professionals, we frequently need to create different versions of our CVs for project applications, career evaluations, or competitions. These versions may be chronologically structured or skill-oriented, covering specific periods and written in various languages. Even when using a LaTeX document as a base, numerous modifications are required each time an updated CV version is requested for a specific purpose. The primary objective of the project reported in this paper is to design and implement a web-based system (CVTool) that simplifies the management of LaTeX CV content while ensuring flexibility. The CVTool is built on a domain-specific language that enables the creation of various filters, allowing for the automatic content adjustment while preserving the original format. Information is extracted from the LaTeX document, and users can specify the sections, dates, skills they want to highlight, and the language in which the CV should be generated. Since the approach relies on an internal data representation derived from the original LaTeX document, it offers users the flexibility to manage content efficiently and extract the necessary information with ease.
- Mining github software repositories to look for programming language cocktailsPublication . Loureiro, João; Costa Neto, Alvaro; Pereira, Maria João; Henriques, Pedro RangelIn light of specific development needs, it is common to concurrently apply different technologies to build complex applications. Given that lowering risks, costs, and other negative factors, while improving their positive counterparts is paramount to a better development environment, it becomes relevant to find out what technologies work best for each intended purpose in a project. In order to reach these findings, it is necessary to analyse and study the technologies applied in these projects and how they interconnect and relate to each other. The theory behind Programming Cocktails (meaning the set of programming technologies - Ingredients - that are used to develop complex systems) can support these analysis. However, due to the sheer amount of data that is required to construct and analyse these Cocktails, it becomes unsustainable to manually obtain them. From the desire to accelerate this process comes the need for a tool that automates the data collection and its conversion into an appropriate format for analysis. As such, the project proposed in this paper revolves around the development of a web-scraping application that can generate Cocktail Identity Cards (CIC) from source code repositories hosted on GitHub. Said CICs contain the Ingredients (programming languages, libraries and frameworks) used in the corresponding GitHub repository and follow the ontology previously established in a larger research project to model each Programming Cocktail. This paper presents a survey of current Source Version Control Systems (SVCSs) and web-scrapping technologies, an overview of Programming Cocktails and its current foundations, and the design of a tool that can automate the gathering of CICs from GitHub repositories.
- Programming cocktail analysis based on the cognitive load theory, a first approachPublication . Costa Neto, Alvaro; Pereira, Maria João; Henriques, Pedro RangelThe daily activities of those involved in software development are inherently related to the technologies they use. Languages, libraries, frameworks, and tools tend to accumulate as projects evolve and change, effectively forming Programming Cocktails. Unfortunately, the burden of learning, using, and managing these technologies also tends to closely follow this growth, spawning a myriad of concepts that need to be handled concurrently. This complexity usually requires several factors to be analysed, in order to limit its negative effects. These factors range from security risks to costs and cognitive load, just to mention a few. This paper presents an ontology-based modelling framework that can be used to create an overview of Programming Cocktails. The instantiation of this ontology results in Cocktail Identity Cards, which can then be augmented with one or more of the previously mentioned factors. Finally, the paper also presents a first approach to the cognitive load analysis of Programming Cocktails, based on John Sweller’s Cognitive Load Theory.