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Digital Nomads during the COVID-19 Pandemic: Evidence from Narratives on Reddit discussions 25

Digital Nomads during the COVID-19 Pandemic: Evidence from N...

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25th IEEE International Conference on computer Supported Cooperative Work in Design, CSCWD 2022

作者： De Almeida, Marcos Antonio Correia, Antonio De Souza, Jano Moreira Schneider, Daniel Systems Engineering and Computer Science Program PESC/COPPE/UFRJ Rio de Janeiro Brazil Inesc Tec University of Trás-os-Montes e Alto Douro Vila Real Portugal Postgraduate Program in Informatics PPGI/UFRJ Rio de Janeiro Brazil Tércio Pacitti Institute of Computer Applications and Research NCE/UFRJ Rio de Janeiro Brazil

ISBN: (纸本)9781665405270

In this paper, we report on new findings about the results of an empirical study which aims to investigate how the COVID-19 pandemic has been shaping nomadic work practices and also challenging the lifestyles of digital nomads (DN). To do this, we collected textual data from posts in a Reddit community. We argue that, in order to understand how to design technical solutions for the so-called 'new normal' working conditions, one way to approach this is to understand how digital nomads are being impacted in their work practices and routines, and also how they are seeing the future of their technology-mediated work-life space. Finally, we show how evidence collected from DNs about their experiences and difficulties perceived during the pandemic period can inform CSCW researchers worldwide about future design-oriented strands. © 2022 IEEE.

关键词： COVID-19

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Exploring Personal Knowledge Ecologies: Dealing with Digital Platform Asymmetries

Exploring Personal Knowledge Ecologies: Dealing with Digital...

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International Conference on computer Supported Cooperative Work in Design

作者： Marcos Antonio De Almeida Jano Moreira De Souza António Correia Daniel Schneider Systems Engineering and Computer Science Program (PESC/COPPE/UFRJ) Rio de Janeiro Brazil Faculty of Information Technology University of Jyväskylä Jyväskylä Finland Postgraduate Program in Informatics PPGI/UFRJ Rio de Janeiro Brazil Tércio Pacitti Institute of Computer Applications and Research NCE/UFRJ Rio de Janeiro Brazil

ISBN: (数字)9798350349184

ISBN: (纸本)9798350349191

The rise of artificial intelligence agents and information technology platforms governed by data-driven algorithms has had profound impacts on the way knowledge work is managed and carried out. Concerning the novel uses of digital work platforms, the arising tensions might suggest that the socio-technical design frameworks adopted by major tech firms are becoming less viable and in some cases ineffective. We propose a conceptual architecture to support a socio-technical framework for exploring Personal Knowledge Ecologies in the context of the digital knowledge economy. This framework aims to increase the degree of individual freedom for the interoperation of these knowledge information infrastructures.

关键词： Knowledge engineering Sociotechnical systems computer architecture Ecology Software Heterogeneous networks Complexity theory

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Towards supporting the specification of context-aware software system test cases 23

Towards supporting the specification of context-aware softwa...

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23rd Iberoamerican Conference on Software engineering, CIbSE 2020

作者： de Souza Doreste, Andréa Cristina Travassos, Guilherme Horta Systems Engineering and Computer Science Program COPPE Federal University of Rio de Janeiro Brazil

In Software engineering, context can be understood as the overall set of information used to characterize the situation of an entity. A software system is context-aware if it uses the context to provide relevant information or services to the user. Nowadays, different types of software systems with a profound impact on the user's life can be considered context-aware (e.g., ubiquitous and Internet of Things software systems). Therefore, it is crucial to guarantee that they behave correctly. Software Testing is the primary process for verifying system behavior. Because of the particularities of Context-Aware Software systems (CASS), conventional testing methods are not enough to test such systems. Based on that, we propose CATS#, a technique to support software engineers with the specification of CASS test cases and capture not only the context itself but its variation as well. CATS# is an evolution of the CATS (Context-Aware Test Suite) Design technique. It introduces two relevant evolutions: test case models and a new test template. The test case models were proposed after we searched for context-aware applications through the literature and realized that the context could affect the test process in different manners. The test template was proposed to capture the variation of context by specifying which variation should occur during the test case and when it should occur. We selected one example application to apply our technique, deriving different types of test cases and showing its relevance in these initial steps. © CIbSE 2020.

关键词： Software testing

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Crowd and Urban Storytelling: Evaluating a Collective Intelligence Model to Support Discussions about the City 25

Crowd and Urban Storytelling: Evaluating a Collective Intell...

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25th IEEE International Conference on computer Supported Cooperative Work in Design, CSCWD 2022

作者： Chaves, Ramon Motta, Claudia Correia, Antonio Paredes, Hugo Caetano, Barbara De Souza, Jano Moreira Schneider, Daniel Postgraduate Program in Informatics PPGI/UFRJ Rio de Janeiro Brazil Federal University of Rio de Janeiro Brazil Inesc Tec University of Tr s-os-Montes e Alto Douro Utad Quinta de Prados Apartado 1013 Vila Real Portugal Systems Engineering and Computer Science Program PESC/COPPE/UFRJ Rio de Janeiro Brazil

ISBN: (纸本)9781665405270

In recent years, digital technologies have been used to support discussions about the city and also to involve citizens in participatory public processes. However, despite the widespread use of social media platforms, old issues related to engagement and participation still persist in digital initiatives. The main goal of this study is to carry out an empirical evaluation of a collective intelligence model that combines crowdsourcing and social storytelling to support discussions about the city from a bottom-up perspective. Within a design science research approach we designed a participatory action study that was carried out through a workshop with students and professionals from different areas, such as architecture, urban design and information technology. As a result, we were able to assess whether the collective intelligence model was acceptable to the participants by investigating whether the behavioral assumptions were valid and thus outlining some contributions to the field of urban informatics. © 2022 IEEE.

关键词： Crowdsourcing

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Systematic mapping on the use of games for software engineering education 23

Systematic mapping on the use of games for software engineer...

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23rd Iberoamerican Conference on Software engineering, CIbSE 2020

作者： Castro, Diego Costa, Diogo Matheus Werner, Cláudia Maria Lima COPPE/Computer Systems Engineering Program Federal University of Rio de Janeiro Rio de Janeiro Brazil

Games appeal to all kinds of people and are used for a wide range of purposes, from pure entertainment to educational research. Software engineering is an area of computing that has much content to explore, distributed in different knowledge areas. Thus, there are many theoretical classes that make learning tiresome. In this scenario, educators and researchers are looking for new methods to engage students in order to facilitate the learning process. Many studies have already been produced using games as a teaching method. However, a recurring mistake when using games as a teaching method is the application of the wrong approach to a context that often hinders student learning. This paper presents a systematic mapping that aims to identify the main ways that games are being used as a teaching method focused on Software engineering. The results highlight five ways of using games as a teaching method, where Game-based Learning, Digital Game-based Learning and Gamification are the most used ones. © CIbSE 2020.

关键词： Serious games

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Generative AI Impact on the Future of Work: Insights from Software Development

Generative AI Impact on the Future of Work: Insights from So...

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IEEE International Conference on systems, Man and Cybernetics

作者： Caroline Da Conceição Lima Herbert Salazar Yuri Lima Carlos Eduardo Barbosa Matheus Argôlo Alan Lyra Jano Moreira de Souza Program of Systems and Computer Engineering (PESC) COPPE Universidade Federal do Rio de Janeiro (UFRJ) Rio de Janeiro - RJ Brazil Centro de Analises de Sistemas Navais Marinha do Brasil Praca Barao de Ladario - Ilha das Cobras Rio de Janeiro - RJ Brazil

ISBN: (数字)9781665410205

ISBN: (纸本)9781665410212

Recent Artificial Intelligence advancements raise concerns about the future of work, particularly technological unemployment. Studies show automation's impact, but tools like ChatGPT disrupt even traditionally secure professions like programming. In this study, we reevaluate AI's effects using a method to assess the impact of Generative AI technologies on occupations to understand the potential effects of Generative AI systems on software development work. Valuable insights were obtained by gathering the view of a group of workers, primarily composed of developers who are starting their careers, regarding the impact of these technologies on the tasks they perform to provide a comprehensive understanding of the implications of Generative AI for software development. Results show that all programming tasks performed by these workers would experience some impact by Generative AI -65% of the tasks being considerably impacted, 12% moderately impacted, and 18% minimally impacted. This analysis highlights the substantial influence of Generative AI technologies on software development, mainly affecting those in the early stages of their career. The results of this work contribute to the academic community with valuable information. Policymakers can also use this information, as this work provides a comprehensive view of the impacts of Generative AI on software developers, considering their direct impact on job tasks.

关键词： Automation Generative AI engineering profession Chatbots Software Unemployment programming profession Cybernetics Software development management

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Rebuilding games at runtime

Rebuilding games at runtime

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IEEE/ACM International Conference on Automated Software engineering - Workshops (ASE Workshops)

作者： Diego Castro Cláudia Werner COPPE/Computer Systems Engineering Program Federal University of Rio de Janeiro Rio de Janeiro Brazil

ISBN: (纸本)9781665411851

The gaming industry is growing over time, having a considerable amount of fans. Creating a game is a complex process that can take a long time until its release, causing a lot of anxiety for the game fan population. Some of these fans can not wait for the release of a specific game, creating their own versions of games. This process of creating games in an ad-hoc manner from others that already exist is called mod and can be compared to the concept of Software Reuse, where software is created from others. This work aims to increase the systematic of creating mods based on reuse concepts such as Product Line. In this paper, an initial prototype of a game created by applying Product Line concepts to generate new mods in a more systematic way is described.

关键词： Industries Fans Systematics Runtime Conferences Sociology Prototypes

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Toward a computer-Supported Remote Serendipity: Understanding the Role of Collaboration in Remote Innovation

Toward a Computer-Supported Remote Serendipity: Understandin...

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IEEE International Conference on systems, Man and Cybernetics

作者： Aline Coutinho Carlos Eduardo Barbosa Marcos Antonio De Almeida Jano Moreira De Souza Program of Systems and Computer Engineering (PESC) COPPE Universidade Federal do Rio de Janeiro (UFRJ) Rio de Janeiro RJ Brazil Centro de Análises de Sistemas Navais Marinha do Brasil Praça Barão de Ladário - Ilha das Cobras Rio de Janeiro RJ Brazil

ISBN: (数字)9781665410205

ISBN: (纸本)9781665410212

Since 2016, the demand for remote work has grown by nearly 400%, with 3.5 million remote job vacancies posted, and it is expected to continue to grow in the coming years. Therefore, one of the challenges in advancing remote work is fostering innovation, particularly serendipity, in a remote workforce. This fortunate discovery can pave the way for technological advancements, new business strategies, or even scientific revolutions. However, creating moments of serendipity in a remote work environment is a significant challenge. Thus, finding the right approach to stimulate serendipity in a remote work environment is an ever-evolving challenge. Therefore, this work aims to understand the possibilities of serendipity that collaboration tools used in remote work can support. The methodology used for this work was a Rapid Review. First, we explore the factors related to serendipity in physical offices, for which we identified twenty-three elements. Next, we compiled 38 strategies for remote work that were found to promote serendipity, which we organized in a framework for better observation. Our findings can serve as a starting point for designing new tools and identifying existing software and tools that already play a supportive role.

关键词： Technological innovation Reviews Pandemics Employment Virtual environments Solids Remote working Software Object recognition Guidelines

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Towards A Taxonomy for Ranking Knowledge in Internet of Everything

Towards A Taxonomy for Ranking Knowledge in Internet of Ever...

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International Conference on computer Supported Cooperative Work in Design

作者： Viviane Cunha Farias da Costa Luiz Oliveira Jano de Souza Systems Engineering and Computer Science Program/COPPE Federal University of Rio de Janeiro Brazil Rio de Janeiro Brazil Systems Engineering and Computer Science Program/COPPE IFRJ Campus Niterói Federal Institute of Rio de Janeiro Federal University of Rio de Janeiro Brazil Rio de Janeiro Brazil

The paradigm of the Internet of Everything (IoE) adds value to Internet of Things (IoT) in connections among people, processes, data, and things. However, knowledge creation process in IoE context still requires concerns to what extent connected sensors and actuators collaborates in value created and outcomes of IoE applications. This study focuses on the requirement and design approach for identification of critical knowledge within IoE domain though a knowledge ranking approach. Existing solutions for semantic definitions and taxonomies in IoE are reviewed for this purpose. In addition, this work proposes the use of a knowledge-based taxonomy as the main driver for ranking knowledge in smart sensors as IoE enablers with a qualitative approach of its dimensions. To the best of our knowledge, this is the first work that comprehensively integrate a taxonomy concerning ranking knowledge in IoE applications.

关键词： Actuators Conferences Taxonomy Semantics Knowledge based systems Collaborative work Internet of Things

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Games in Technology Forecasting & Foresight: A Rapid Review

Games in Technology Forecasting & Foresight: A Rapid Review

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IEEE International Conference on systems, Man and Cybernetics

作者： Rafael Machado Andrade Aline Lima de Souza Carlos Eduardo Barbosa Alan Lyra Herbert Salazar Yuri Lima Matheus Argôlo Jano Moreira de Souza Program of Systems and Computer Engineering (PESC) COPPE Universidade Federal do Rio de Janeiro (UFRJ) Horácio Macedo St. Rio de Janeiro RJ Brazil Centro de Análises de Sistemas Navais Marinha do Brasil Praça Barão de Ladário - Ilha das Cobras Rio de Janeiro RJ Brazil

ISBN: (数字)9781665410205

ISBN: (纸本)9781665410212

Future-related studies are key in identifying and predicting emerging technologies, fostering innovation, and driving scientific progress. Games have increasingly served as a tool to engage researchers in Technology Forecasting and Foresight activities, presenting a gamified approach to gather, analyze, and synthesize information to allow future foresight. In this work, we use the Rapid Review methodology to analyze the scientific literature and explore the use of games as tools for Technology Forecasting and Foresight. We analyzed and categorized the articles by theme and type of study, identifying the areas where games can be most beneficial to guide professionals performing Technology Forecasting and Foresight, helping companies and governments better understand the future. The empirical evidence found provides a comprehensive understanding of how games can enhance foresight activities and contribute to the success of Technology Forecasting and Foresight initiatives. Our analysis also provides insights for future research about gamified strategies in Foresight.

关键词： Technological innovation Reviews Databases Decision making Games Strategic planning Technology forecasting Market research Teamwork Sustainable development

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