Mônica da Silva

Modern research strongly depends on software that is essential in various domains, including engineering, sciences, and other fields, and most often developed within universities and used by the researchers themselves. This software, specifically referred to as research software, presents a unique set of challenges and constraints in its life cycle, methodology, practices, disclosure, and incentives, thereby distinguishing it from conventional software. However, while certain research software developed and used in universities have achieved widespread use and been adopted by the academic community, thereby considered “successful”, others have failed to secure the same level of adoption, resulting in non-adoption and abandonment software leading to an unnecessary expenditure of development time and resources. Gaining a comprehensive understanding of the factors influencing the adoption can assist in mitigating these issues. In this context, the primary aim of this study is to investigate factors influencing the adoption of research software by users and developers, to discern their relative importance, and to explore the challenges associated with fostering the adoption of such software. A survey involving 173 Brazilian academic researchers was executed to gather insights regarding the significance of the factors contributing to the adoption of research software and the obstacles encountered in its adoption. The collected data underwent rigorous statistical analysis, utilizing Independent Sample T-test and Factor Analysis to thoroughly examine the information and provide a ranking of factors. The survey responses were used to rank factors contributing to the adoption of research software, with results stratified by respondents’ profiles. This study suggests that academic researchers can optimize their use of research software by recognizing and prioritizing adoption factors, preventing non-adoption, and overcoming the identified challenges. Understanding the relative importance of each factor can enhance support for research software developers and users and, consequently, promote the broader adoption of research software.

A integração de Inteligência Artificial (IA) na educação introduz inovações e coloca em destaque questões éticas, especialmente com o surgimento de IAs Generativas. Este estudo explora as percepções de estudantes de graduação (81,4%), mestrado (12,2%), doutorado (4,7%) e MBA (1,7%), sobre ética e responsabilidade no desenvolvimento de artefatos computacionais. Concentrando-se em questões como ética dos dados, algoritmos, e alfabetização digital, além do uso de tecnologias de IA em ambientes educacionais, a pesquisa adota uma metodologia mista para analisar respostas de 172 participantes. O objetivo é compreender as atitudes relativas à ética na IA e ao desenvolvimento tecnológico.

The Metaverse, an immersive virtual environment enabling real-time interactions, presents a novel opportunity to enhance workflows in healthcare, particularly in clinical sessions. The necessity for immersive, collaborative, and device-friendly environments has become increasingly apparent in the age of remote work and the rapid advancement of XR technologies. This paper explored how to model and design clinical sessions using hybrid environments in the Metaverse. We considered users’ needs across diverse devices like HMDs, notebooks, and smartphones and integrated interactions available in the Metaverse. The study began by outlining the existing protocol followed by healthcare professionals during clinical sessions. Our research identified specific tasks within the clinical session process that could be improved by integrating Metaverse interactions. Based on these findings, we proposed and developed a prototype, which was evaluated by HCI, XR experts and stakeholders. Our findings provide valuable insights for healthcare professionals and Metaverse designers, pointing directions for future research.