Tópicos Especiais em Sistemas de Informação: Minicursos SBSI 2023
Palavras-chave:
Sistemas de Informação, SBSI, SBSI 2023Sinopse
O Livro de Minicursos ministrados no XIX Simpósio Brasileiro de Sistemas de Informação (SBSI 2023) aborda conteúdos sobre as decisões relacionadas ao design da interface de Sistemas de Informação (SI), e apresenta também as principais estratégias para modelagem e avaliação da Lei Geral de Proteção de Dados Pessoais (LGPD) nestes sistemas. O primeiro capítulo, intitulado “Nudges no Design de Sistemas de Informação,” apresenta os principais conceitos relacionados a nudges, incluindo exemplos, ferramentas comportamentais e oportunidades de aplicação, especialmente no contexto do meio ambiente. Já o segundo e último capítulo, intitulado “Estratégias para Modelagem e Avaliação da Conformidade entre Sistemas de Informação e a Lei Geral de Proteção de Dados Pessoais - LGPD,” apresenta as principais estratégias para modelagem e avaliação da conformidade entre sistemas de informação e a LGPD.
Capítulos
-
1. Nudges no Design de Sistemas de Informação
-
2. Estratégias para Modelagem e Avaliação da Conformidade entre Sistemas de Informação e a Lei Geral de Proteção de Dados Pessoais - LGPD
Downloads
Referências
Agostinelli, S., Maggi, F. M., Marrella, A., and Sapio, F. (2019). Achieving gdpr compliance of bpmn process models. In International Conference on Advanced Information Systems Engineering, pages 10–22 Springer.
Almuhimedi, H., Schaub, F., Sadeh, N., Adjerid, I., Acquisti, A., Gluck, J., & Agarwal, Y. (2015). Your location has been shared 5,398 times! A field study on mobile app privacy nudging. In Proceedings of the 33rd annual ACM Conference on human factors in computing systems (pp. 787-796).
Amaral, F. (2016). Introdução à ciência de dados: mineração de dados e big data. Alta Books Editora.
Araújo, E., Vilela, J., Silva, C., and Alves, C. (2021). Are my business process models compliant with lgpd? the lgpd4bp method to evaluate and to model lgpd aware business processes. In XVII Brazilian Symposium on Information Systems, pages 1–9.
Ariely, D. and Jones, S. (2008). Predictably irrational. Harper Audio New York, NY.
Ávila, F., & Bianchi, A. M. (Eds.). (2015). Guia de economia comportamental e experimental. Economia Comportamental. org.
AZEVEDO, R., OLIVEIRA, R., Freitas, F., ALMEIDA, S., CARVALHO FILHO, E., and ALMEIDA, M. J. (2008). Coresec: Uma ontologia como ferramenta educacional para apoio no ensino de disciplinas de segurança da informação. In XXVIII Congresso da Sociedade Brasileira de Computação (CSBC), pages 59–68.
Benedict, T., Bilodeau, N., Vitkus, P., Powell, E., Morris, D., Scarsig, M., Lee, D., Field, G., Lohr, T., Saxena, R., et al. (2013). 596 version 3.0: Guide to the business process management common body of knowledge. CreateSpace/ABPMP– Association of Business, 597.
Brekke, K. A., Kverndokk, S., & Nyborg, K. (2003). An economic model of moral motivation. Journal of public economics, 87(9-10), 1967-1983.
Brick, K., De Martino, S., & Visser, M. (2017). Behavioural nudges for water conservation: Experimental evidence from Cape Town. Preprint.
Briggs, D. J. L. C. P., & van Moorsel, A. (2014). Nudging whom how: IT proficiency, impulse control and secure behaviour. Networks, 49, 18.
Brown, C. (2019). Digital nudges for encouraging developer actions. In 2019 IEEE/ACM 41st International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) (pp. 202-205). IEEE.
Canedo, E. D., Cerqueira, A. J., Gravina, R. M., Ribeiro, V. C., Camoes, R., dos Reis, V. E., de Mendonça, F. L. L., and de Sousa Jr, R. T. (2021). Proposal of an implementation process for the brazilian general data protection law (lgpd). In ICEIS (1), pages 19–30.
Caraban, A., Karapanos, E., Gonçalves, D., & Campos, P. (2019). 23 ways to nudge: A review of technology-mediated nudging in human-computer interaction. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (pp. 1-15).
Carauta Ribeiro, R. and Dias Canedo, E. (2020). Using mcda for selecting criteria of lgpd compliant personal data security. In The 21st Annual International Conference on Digital Government Research, pages 175–184.
Carlsson, F., & Johansson-Stenman, O. (2012). Behavioral economics and environmental policy. Annu. Rev. Resour. Econ., 4(1), 75-99.
Choe, E. K., Jung, J., Lee, B., & Fisher, K. (2013). Nudging people away from privacy-invasive mobile apps through visual framing. In IFIP Conference on Human-Computer Interaction (pp. 74-91). Springer, Berlin.
Cialdini, R.B. (2008). Influence: Science and Practice, 5th ed. Boston: Pearson.
Cunha, J. A. O. G., Aguiar, Y. P. C., Bezerra Jr, J. P., e da Silva, M. N. P. (2020). Como influenciar decisões em ambientes digitais através de nudges? Um mapeamento sistemático da literatura. V Workshop sobre Aspectos Sociais, Humanos e Econômicos de Software.
Cunha, J. A. O. G., Araújo, I. D., & Gomes, V. H. dos S. (2022). Nudges to promote Self-regulation in the use of Social Networks: Initial Implications of an Experiment. ISys - Brazilian Journal of Information Systems, 15(1), 16:1–16:17.
Cunha, J. A. O., & Aguiar, Y. P. C. (2020). Reflections on the role of nudges in human-computer interaction for behavior change. In Anais do XIX Simpósio Brasileiro sobre Fatores Humanos em Sistemas Computacionais (pp. 478-483). SBC.
Cunha, J.; Moura, H. (2015). Project management in light of cognitive biases: A cross-case analysis of it organizations from Brazil and Portugal. In: 12th CONTECSI-International Conference on Information Systems and Technology Management, São Paulo, Brazil.
Cunha, José Adson Oliveira Guedes da. (2016). A Substantive Theory of Decision-Making in Software Project Management. Tese de Doutorado. Universidade Federal de Pernambuco.
Davenport, T. H. (1994). Reengenharia de processo: como inovar na empresa através da tecnologia da informação, volume 5. Campus Rio de Janeiro.
Dogruel, L., Joeckel, S., & Vitak, J. (2017). The valuation of privacy premium features for smartphone apps: The influence of defaults and expert recommendations. Computers in Human Behavior, 77, 230-239.
Durmus, Murat. (2022). Cognitive Biases - A Brief Overview of Over 160 Cognitive Biases:+ Bonus Chapter: Algorithmic Bias.
Egebark, J., & Ekström, M. (2016). Can indifference make the world greener?. Journal of Environmental Economics and Management, 76, 1-13.
Esposito, G., Hernández, P., van Bavel, R., & Vila, J. (2017). Nudging to prevent the purchase of incompatible digital products online: An experimental study. PloS one, 12(3).
Evans, J. S. B. T (2008). Dual-processing accounts of reasoning, judgment, and social cognition. Ann Rev Psychol 1(59):255–278.
Fischbacher, U., & Gächter, S. (2010). Social preferences, beliefs, and the dynamics of free riding in public goods experiments. American economic review, 100(1), 541-556.
Fogg, B.J. (2003). Persuasive Technology: Using Computers to Change What We Think and Do.
Fontes, E. (2012). Políticas e Normas para a Segurança da Informação. Brasport.
Gächter, S., Orzen, H., Renner, E., & Starmer, C. (2009). Are experimental economists prone to framing effects? A natural field experiment. Journal of Economic Behavior & Organization, 70, 443-446.
Gino, F. (2013). Sidetracked: Why our decisions get derailed, and how we can stick to the plan. Harvard Business Review Press.
Goldstein, N. J., Cialdini, R. B., & Griskevicius, V. (2008). A room with a viewpoint: Using social norms to motivate environmental conservation in hotels. Journal of consumer Research, 35(3), 472-482.
Grau, V. and Whitebread, D. (2012). Self and social regulation of learning during collaborative activities in the classroom: The interplay of individual and group cognition. Learning and Instruction, 22(6):401–412.
Gray, C. M., Kou, Y., Battles, B., Hoggatt, J., & Toombs, A. L. (2018). The dark (patterns) side of UX design. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (pp. 1-14).
Guarino, N. (1998). Formal ontology in information systems: Proceedings of the first international conference (FOIS’98), June 6-8, Trento, Italy, volume 46. IOS press.
Gupta, V., & Sahana, S. K. (2020). Nudge-Based Hybrid Intelligent System for Influencing Buying Decision. In Advances in Computational Intelligence (pp.165-174). Springer, Singapore.
Henkel, C., Seidler, A. R., Kranz, J., & Fiedler, M. (2019). How to nudge pro-environmental behaviour: An experimental study.
Henkel, C., Seidler, A. R., Kranz, J., & Fiedler, M. (2019). How to Nudge Pro-Environmental behaviour: an Experimental Study. In European Conference on Information Systems (ECIS).
Huang, N., Chen, P., Hong, Y., & Wu, S. (2018). Digital nudging for online social sharing: Evidence from a randomized field experiment. In Proceedings of the 51st Hawaii International Conference on System Sciences.
Huber, J., Jung, D., Schaule, E., & Weinhardt, C. (2019). Goal framing in smart charging - Increasing BEV users’ charging flexibility with digital nudges. In Proceedings of the 27th European Conference on Information Systems (ECIS), Stockholm and Uppsala, Sweden (pp. 8-14).
Hummel, D., Schacht, S., & Maedche, A. (2017). Designing adaptive nudges formulti-channel choices of digital services: A laboratory experiment design.
Hutchinson, J. M. C., Gigerenzer, G. (2005). Simple heuristics and rules of thumb: Where psychologists and behavioural biologists might meet. Behav Process 2(69):97–124.
Jameson, A., Berendt, B., Gabrielli, S., Cena, F., Gena, C., Vernero, F., &Reinecke, K. (2014). Choice architecture for human-computer interaction.
Johnson, E. J., & Goldstein, D. (2003). Do defaults save lives?. Science, 302(5649), 1338-1339.
Kahneman, Daniel. (2012). Rápido e devagar: duas formas de pensar. Objetiva.
Kroll, T., Paukstadt, U., Kreidermann, K., & Mirbabaie, M. (2019). Nudging people to save energy in smart homes with social norms and self-commitment.
Lachaud, E. (2020). Iso/iec 27701 standard: Threats and opportunities for gdpr certification. Eur. Data Prot. L. Rev., 6:194.
Lee, J.-M., and Rha, J.-Y. (2016). “Personalization-privacy paradox and consumer conflict with the use of location-based mobile commerce,” Computers in Human Behavior (63), pp. 453–462.
Levin, I. P. and Gaeth, G. J. (1988). How consumers are affected by the framing ofattribute information before and after consuming the product. Journal of consumer research, 15(3):374–378.
Li, Z., Yang, M. C., and Ramani, K. (2009). A methodology for engineering ontology acquisition and validation. AI EDAM, 23(1):37–51.
Lindgren, P. (2020). The impact on multi business model innovation related to gdpr regulation.
Maedche, A. and Staab, S. (2001). Ontology learning for the semantic web. IEEE Intelligent systems, 16(2):72–79.
Mandel N, Johnson EJ (2002) When web pages influence choice: effects of visual primes on experts and novices. J Consum Res 2 (29):235–245.
Mandel N, Johnson EJ (2002) When web pages influence choice: effects of visual primeson experts and novices. J Consum Res 2 (29):235–245.
Miller, S. J. (2013). Introduction to ontology concepts and terminology. In DC-2013, Lisbon, Portugal.
Misawa, D., Fukuyoshi, J., & Sengoku, S. (2020). Cancer Prevention Using Machine Learning, Nudge Theory and Social Impact Bond. International Journal of Environmental Research and Public Health, 17(3), 790.
Morais, E. A. M. and Ambrósio, A. P. L. (2007). Ontologias: conceitos, usos, tipos, metodologias, ferramentas e linguagens. Relatório Técnico–RT-INF-001/07.
Moura, A. M. M. D. (2016). Aplicação dos instrumentos de política ambiental no Brasil: avanços e desafios. Governança ambiental no Brasil: instituições, atores e políticas públicas. Ipea.
Noy, N. F., McGuinness, D. L., et al. (2001). Ontology development 101: A guide to creating your first ontology.
Nyamadi, M., Boateng, R., and Asamenu, I. (2020). Smartphone addictions: A review of themes, theories and future research directions. In Proceedings of the 53rd Hawaii international conference on system sciences.
O’Donoghue, T., & Rabin, M. (1999). Doing it now or later. American Economic Review, 89(1), 103-124.
Okeke, F., Sobolev, M., Dell, N., & Estrin, D. (2018). Good vibrations: can a digital nudge reduce digital overload?. In Proceedings of the 20th international conference on human-computer interaction with mobile devices and services (pp. 1-12).
Pasquale, F. (2015). The black box society: The secret algorithms that control money and information: Harvard University Press.
Pinheiro, P. P. (2020). Proteção de Dados Pessoais: Comentários à Lei n. 13.709/2018-LGPD. Saraiva Educação SA.
Reis, G. (2008). Modelagem de processos de negócios com bpmn: curso completo. São Paulo: Portal Bpm Ltda.
SANTANA, R. C. G. (2016). Ciclo de vida dos dados: uma perspectiva a partir da ciência da informação. Informação & Informação; v. 21, n. 2 (2016); 116–142, 24(2).
Santiago Walser, R., Seeber, I., & Maier, R. (2019). Designing a Digital Nudge for Convergence: The Role of Decomposition of Information Load for Decision Making and Choice Accuracy. AIS Transactions on Human-Computer Interaction, 11(3), 179-207.
Schneider, D., Lins, S., Grupp, T., Benlian, A., & Sunyaev, A. (2017). Nudging Users Into Online Verification: The Case of Carsharing Platforms. In ICIS.
Schubert, C. (2017). Green nudges: Do they work? Are they ethical?. Ecological economics, 132, 329-342.
Service, O.; Hallsworth, M.; Halpern, D.; Algate, F.; Gallagher, R.; Nguyen, S.;Ruda, S.; Sanders, M.; Pelenur, M.; Gyani, A.; et al. (2014). EAST: Four Simple Ways to Apply Behavioral Insights; The BIT: London, UK.
Simon, H. A. (1955). A behavioral model of rational choice. The quarterly journal of economics, 69(1), 99-118.
Sowa, J. F. (2000). Ontology, metadata, and semiotics. In Conceptual Structures: Logical, Linguistic, and Computational Issues: 8th International Conference on Conceptual Structures, ICCS 2000, Darmstadt, Germany, August 14-18, 2000. Proceedings 8, pages 55–81 Springer.
Stryja, C., Satzger, G., & Dorner, V. (2017). A decision support system design to overcome resistance towards sustainable innovations.
Székely, N., Weinmann, M., & vom Brocke, J. (2016). Nudging People To PayCo2 Offsets–The Effect of Anchors in Flight Booking Processes.
Szilagyi, D. C. et al. (2010). Modelagem de processos de negócio: um comparativo entre bpmn e uml.
TCU (2013). Curso de mapeamento de processos de trabalho com bpmn e bizagi no tribunal de contas da união. Disponível em: [link]. Acesso em: 09 de novembro 2022.
Thaler, R. H., & Sunstein, C. R. (2008). Nudge: Improving Decisions About Health, Wealth and Happiness Yale University Press: New Haven & London.
Thornhill, C., Meeus, Q., Peperkamp, J., & Berendt, B. (2019). A Digital Nudge to Counter Confirmation Bias. Frontiers in Big Data, 2, 11.
Tietz, M., Simons, A., Weinmann, M., & vom Brocke, J. (2016). The decoy effect in reward-based crowdfunding: Preliminary results from an online experiment.
Toft, M. B., Schuitema, G., & Thøgersen, J. (2014). The importance of framing for consumer acceptance of the Smart Grid: A comparative study of Denmark, Norway and Switzerland. Energy Research & Social Science, 3, 113-123.
Tversky, A. (1972). Elimination by aspects: A theory of choice. Psychological Review, 79, 281-299.
Tversky, A., e Kahneman, D. (1974). Judgment under uncertainty: Heuristics and biases. science, 185 (4157), 1124-1131.
Ujcich, B. E., Bates, A., and Sanders, W. H. (2018). A provenance model for the european union general data protection regulation. In Provenance and Annotation of Data and Processes: 7th International Provenance and Annotation Workshop, IPAW 2018, London, UK, July 9-10, 2018, Proceedings, pages 45–57 Springer.
UNDP (2020). United Nations Development Programme report. The next frontier: Human development and the Anthropocene.
Unger, A. J. (2018). Abordagens baseadas em processos de negócio para a especificação de requisitos de sistemas de informação empresariais. PhD thesis, Universidade de São Paulo.
Valença, G. (2012). Bpmn (business process modeling notation).
van Oldenbeek, M., Winkler, T. J., Buhl-Wiggers, J., & Hardt, D. (2019). Nudging in Blended Learning: Evaluation of Email-based progress feedback ina Flipped-Classroom Information Systems Course. In The 27th European Conference on Information Systems (ECIS).
Varian, H. R. (2012). Microeconomia: uma abordagem moderna. Rio de Janeiro, RJ-8ª edição: Elsevier.
Weinmann, M., Schneider, C., e vom Brocke, J. (2016). Digital nudging. Business & Information Systems Engineering, 58(6), 433-436.
Wolters, C. A. and Benzon, M. B. (2013). Assessing and predicting college students’ use of strategies for the self-regulation of motivation. The Journal of Experimental Education, 81(2):199–221.
Downloads
Data de publicação
Categorias
Licença
Este trabalho está licenciado sob uma licença Creative Commons Attribution-NonCommercial 4.0 International License.