Simone Diniz Junqueira Barbosa

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Verified

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• PhD
• Professor (Associate) at Pontifical Catholic University of Rio de Janeiro

Lean R&D has been used at PUC-Rio to foster industry-academia collaboration in innovation projects across multiple sectors. This industrial experience paper describes recent experiences and evaluation results from applying Lean R&D in partnership with Petrobras in the oil and gas sector and Americanas in retail. The findings highlight Lean R&D's ef...

Large language models (LLMs) have taken centre stage in debates on Artificial Intelligence. Yet there remains a gap in how to assess LLMs' conformity to important human values. In this paper, we investigate whether state-of-the-art LLMs, GPT-4 and Claude 2.1 (Gemini Pro and LLAMA 2 did not generate valid results) are moral hypocrites. We employ two...

Context] Software Engineering (SE) education constantly seeks to bridge the gap between academic knowledge and industry demands, with active learning methods like Problem-Based Learning (PBL) gaining prominence. Despite these efforts, recent graduates struggle to align skills with industry needs. Recognizing the relevance of Industry-Academia Colla...

[Context] Software Engineering (SE) education constantly seeks to bridge the gap between academic knowledge and industry demands, with active learning methods like Problem-Based Learning (PBL) gaining prominence. Despite these efforts, recent graduates struggle to align skills with industry needs. Recognizing the relevance of Industry-Academia Coll...

Resumo. Este artigo relata a experiência da implementação de quatro novos cursos de pós-graduação lato sensu do Departamento de Informática da PUC-Rio. Os cursos foram concebidos com uma metodologia inovadora, incluindo a organização dos cursos em Sprints, nos quais os alunos elaboram Produtos Mínimos Viáveis (MVPs) que avaliam hipóteses de aprendi...

Large language models (LLMs) have taken centre stage in debates on Artificial Intelligence. Yet there remains a gap in how to assess LLMs' conformity to important human values. In this paper, we investigate whether state-of-the-art LLMs, GPT-4 and Claude 2.1 (Gemini Pro and LLAMA 2 did not generate valid results) are moral hypocrites. We employ two...

How do tools designed for documenting machine learning models contribute to developers’ ethical reflection? We set out to answer this question regarding Model Cards, a tool proposed for such purpose. We conducted a thematic analysis of eight semi-structured interviews based on speculative design sessions. Each participant assumed the role of develo...

Users produce a significant amount of data in different internet spaces and, after their death, these data constitute part of their digital legacy, which can be managed by third parties. However, what are the perceptions of heirs and legacy managers when interacting with such systems? The aim of this research was to explore the experience of family...

[Background] The MVP concept has influenced the way in which development teams apply Software Engineering practices. However, the overall understanding of this influence of MVPs on SE practices is still poor. [Objective] Our goal is to characterize the publication landscape on practices that have been used in the context of software MVPs and to gat...

Context User-Centered Design (UCD) and Agile methodologies focus on human issues. Nevertheless, agile methodologies focus on contact with contracting customers and generating value for them. Usually, the communication between end users (they use the software and have low decision power) and the agile team is mediated by customers (they have high de...

Intelligent conversational agents have become widespread. Inspired by conversations in natural language, they present different degrees of intelligence and autonomy, bringing challenges for Human-Computer Interaction (HCI). One such challenge concerns design languages for modeling user-agent interaction. We focus here on MoLIC, a design-phase dialo...

The social interaction restrictions imposed by COVID-19 required academic researchers to rethink the design of their research projects, especially those that involved human interaction. Considering this scenario, we report here the experience of conducting four studies in Human–Computer Interaction research projects that were adapted to be executed...

Context: User-Centered Design and Agile methodologies focus on human issues. Nevertheless, agile methodologies focus on contact with contracting customers and generating value for them. Usually, the communication between end users and the agile team is mediated by customers. However, they do not know the problems end users face in their routines. H...

The large-scale adoption of systems that automate classifications using Machine Learning (ML) algorithms raises pressing challenges as they support or make decisions with profound consequences for human beings. It is important to understand how users’ trust is affected by ML models’ suggestions, even when those models are wrong. Many research effor...

Nowadays, we have access to data of unprecedented volume, high dimensionality, and complexity. To extract novel insights from such complex and dynamic data, we need effective and efficient strategies. One such strategy is to combine data analysis and visualization techniques, which are the essence of visual analytics applications. After the knowled...

We propose a methodology to extract value from Brazilian Court decisions to support judges and lawyers in their decision-making. We instantiate our methodology in one information system we have developed. Such system (i) extracts plaintiff’s legal claims and each specific provision on legal opinions enacted by lower and Appellate Courts, and (ii) c...

Estudos apontam baixa participação de mulheres na Computação, fazendo com que entidades promovam ações específicas para tentar modificar este cenário. Especificamente em relação à comunidade de Interação Humano-Computador que, dentre suas frentes, discute aspectos de interdisciplinaridade e diversidade relacionados à construção de artefatos computa...

Networks of scientific publications play a fundamental role in the search for relevant papers to a specific research topic, as well as in finding authors with expertise in different branches of study. Making a selection of the most important references of a specific paper to understand the evolution of a branch of study is an essential task in the...

Data visualization literacy has attracted widespread interest due to the urgent need to analyze unprecedented volumes of data we have nowadays. Much work on visualization literacy focuses on asking people to answer specific questions about the data depicted in a visual representation, in an attempt to try to understand how people make sense of the...

Petrobras is a large publicly-held company that operates in the oil, gas and energy industry. Recently, they conducted internal dynamics to identify several Digital Transformation (DT) opportunities to leverage their operational excellence. Addressing such opportunities typically requires Research and Development (R&D) uncertainties that could lead...

Petrobras is a large publicly-held company that operates in the oil, gas and energy industry. Recently, they conducted internal dynamics to identify several Digital Transformation (DT) opportunities to leverage their operational excellence. Addressing such opportunities typically requires Research and Development (R&D) uncertainties that could lead...

... e direi o que produzes. Simples assim? Não! E ainda bem que não… Os modelos, métodos, frameworks e processos que escolhemos para nos apoiarem guiam e restringem nossa atenção e nossa atuação, mas não determinam o resultado. Podemos extrapolá-los, e com frequência devemos extrapolá-los, mas como? Conhecemos alguns marcos no caminho, como aprendi...

The increasingly rapid growth of data production and the consequent need to explore data to obtain answers to the most varied questions have promoted the development of tools to facilitate the manipulation and construction of data visualizations. However, building useful data visualizations is not a trivial task: it may involve a large number of su...

Appellate Court Modifications Extraction consists of, given an Appellate Court decision, identifying the proposed modifications by the upper Court of the lower Court judge’s decision. In this work, we propose a system to extract Appellate Court Modifications for Portuguese. Information extraction for legal texts has been previously addressed using...

[Context] Petrobras is Brazil's largest publicly-held company, operating in the oil, natural gas, and energy industry. Internal efforts enabled Petrobras to identify Digital Transformation (DT) opportunities to further promote their operational excellence. While addressing these opportunities typically requires Research and Development (R&D) uncert...

Interaction models specify the structure and content of the user interface, the allowed user actions, and the corresponding system responses. There is a need to inspect interaction models, as it avoids the propagation of defects to other artefacts. We created two inspection techniques for interaction models, called MoLVERIC Cards (MCards) and MoLVE...

Web search has become the predominant method for people to fulfill their information needs. Although widespread, the traditional model for search result pages is only satisfactory if the user knows quite precisely how to phrase their query to match their intended information. We propose a new model for search page results, which goes beyond providi...

Several visualization task taxonomies have been defined in the literature, taking into account several factors, such as the user’s goals when analyzing a visual representation of data, the data characteristics, how they are mapped onto the visualization, to name a few. Some studies also use task taxonomies as a tool to evaluate the effectiveness of...

The increasing amount of valuable, unstructured textual information poses a major challenge to extract value from those texts. We need to use NLP (Natural Language Processing) techniques, most of which rely on manually annotating a large corpus of text for its development and evaluation. Creating a large annotated corpus is laborious and requires s...

Organize songs, albums, and artists in groups with shared similarity could be done with the help of genre labels. In this paper, we present a novel approach for automatic classifying musical genre in Brazilian music using only the song lyrics. This kind of classification remains a challenge in the field of Natural Language Processing. We construct...

The increasingly rapid growth of data production and the consequent need to explore data to obtain answers to the most varied questions have promoted the development of tools to facilitate the manipulation and construction of data visualizations. However, building useful data visualizations is not a trivial task: it may involve a large number of su...

Many systems try to convert a request in natural language into a structured query, but formulating a good query can be cognitively challenging for users. We propose an ontology-based approach to answer questions in natural language about facts stored in a knowledge base, and answer them through data visualizations. To bridge the gap between the use...

Background: Playability is the degree by which a player can learn, control, and understand a game. There are many and different Playability evaluation techniques that can evaluate different and numerous game aspects. However, there is a shortage of comparative studies between these proposed evaluation techniques. These comparative studies can asses...

Online Education has broadened the avenues of research on student behavior and performance. In this paper, we compare results in the literature about student behavior patterns and performance with an analysis of VLE logs of online courses offered in Brazil. We conducted a study exploring and analyzing data using statistical methods and machine lear...

Hardware and software technologies have given rise to a new class of human-computer interfaces that both explores multiple modalities and allows for multiple collaborating users. When compared to the development of traditional single-user WIMP (windows, icons, menus, pointer)-based applications, however, applications supporting the seamless integra...

Online education has broadened the avenues of research on student behavior and performance. In this paper, we shed light on how student interaction logs on virtual learning environments have been analyzed. We conducted two studies: interviews with instructors and a systematic mapping of 136 papers on Education Data Mining and Learning Analytics, pu...

Este artigo resumido apresenta o grupo de pesquisa e desenvolvimento resultante da junção do laboratório Investigações sobre o Design de Interação e Avaliação de Sistemas, IDEIAS, e do Grupo de Pesquisa em Engenharia Semiótica, SERG, do Departamento de Informática da PUC-Rio.

Understanding citations to scientific publications is a task of vital importance in the academic world. This task can be supported by appropriate data structures and visualization mechanisms. One challenge is the amount of existing relationships and the difficulty of determining which of the references of a document are considered the most potentia...

Traditionally, most multimedia content has been developed to stimulate two of the human senses, i.e., sight and hearing. Due to recent technological advancements, however, innovative services have been developed that provide more realistic, immersive, and engaging experiences to the audience. Omnidirectional (i.e., 360-degree) video, for instance,...

Recent advances in hardware and software technologies have given rise to a new class of human-computer interfaces that both explores multiple modalities and allows for multiple collaborating users. When compared to the development of traditional single-user WIMP (windows, icons, menus, pointer)-based applications, however, applications supporting t...

Purpose Appointment scheduling systems traditionally book patients at fixed intervals, without taking into account the complexity factors of the health system. This paper analyzes several appointment scheduling policies of the literature and proposes the most suitable to a bariatric surgery clinic, considering the following complexity factors: (i)...

The objective of this course is to provide students, young researchers, and practitioners without a formal education in data visualization with an introduction and overview of the field. In addition to introducing basic concepts, the course will present diverse visualizations for different kinds of data (e.g., categorical, numeric, hierarchic, netw...

Inspecting the outputs of classification algorithms is becoming progressively difficult due to the increase in both scale and complexity of both the data and the algorithms. This has led to research efforts to develop new techniques to interpret the behavior of these algorithms and to facilitate the understanding of their results. A common classifi...

Dealing with average-sized event logs is considered a challenging task in process mining, in order to give value to event log data created by a wide variety of systems. An event log consists of a sequence of events for every case that was handled by the system. Discovery algorithms proposed in the literature work well in specific cases, but they us...

Online education has broadened the avenues of research on student’s behavior and performance. In this paper, we shed light on how make visualizations to better support the instructors in the analyses of students interactions on VLE. We conducted a study in order to identify which data the instructors take into account and their visualization prefer...

The Fourth Industrial Revolution (4IR) is characterized by a fusion of technologies, which is blurring the lines between the physical, digital, and biological spheres. In this context, two fundamental characteristics emerge: transparency and privacy. From one side, transparency can be seen as the quality that allows participants of a community to k...

The objective of this course is to provide newcomers to Human-Computer Interaction (HCI) with an introduction and overview of the field. Attendees often include practitioners without a formal education in HCI, and those teaching HCI for the first time. This course includes content on theory, cognition, design, evaluation, and user diversity.

This paper proposes the use of a convolutional neural network in the building detection task, using as data source the high resolution heterogeneous Google Earth RGB images. This is a challenging task not only because it is necessary to build a training dataset, but also because the learning model has to respond well to the diversity of images taki...

Purpose No-shows of patients to their scheduled appointments have a significant impact on healthcare systems, including lower clinical efficiency and higher costs. The purpose of this study was to investigate the factors associated with patient no-shows in a bariatric surgery clinic. Materials and Methods We performed a retrospective study of 13,2...

This paper applies a methodology for interdisciplinary Facilities Management (FM) by alingment between Building Information Modeling (BIM) and Lean. Initially, the literature review of BIM, FM and Lean principles. Afterwards, the research applies the Digital Obeya Room for improved FM and describes its application on a real-world case study. Lastly...

Representing quality aspects in models used in the design of interactive systems can support to design solutions with higher quality of use. However, the quality of the designed solutions can be influenced by the designers' experience and by the models' expressiveness for representing the quality aspects. Recently, we proposed USINN (USability-orie...

Personas help in understanding the users' needs. However, their descriptions usually contain too many details related to personal characteristics and too little information relevant to the software that will be developed. This may limit their use and acceptance. In this context, the PATHY technique was proposed. It uses guiding questions to create...

Social networks enable the creation of specific groups and communities such as scientific collaboration networks, which are composed of their authors, who in turn are connected through their publications. This work generated the networks of scientific collaboration of the Brazilian Community of Human-Computer Interaction analyzing the most prolific...

Creating design models that represent usability aspects can promote a better quality in use. However, it is necessary to investigate how do design processes commonly used in industry can be adapted to include this practice. This paper reports a case study in an agile software development company which adopts the Scrum methodology. The company decid...

Background: Unhandled exceptions affect the reliability of web applications. Several studies have measured the reliability of web applications in use against unhandled exceptions, showing a recurrence of the problem during the maintenance phase. Detecting latent unhandled exceptions automatically is difficult and application-specific. Hence, genera...

The usage of technologies for content authoring, storage, distribution and presentation supported the arise of Virtual Learning Environments (VLEs) such as Moodle and MOOCs (e.g., Udacity, Coursera, EdX). All students’ interaction in these environments can be stored in logs. For instance, video is one of the resources has a greater focus on VLEs. I...