PryMeVis: Uma ferramenta para Modelagem de Design de Privacidade
Resumo
O Modelo de Design de Privacidade (MDP) é um modelo descritivo que tem o propósito de ajudar designers a modelarem o compartilhamento de informações pessoais em Redes Sociais Online (RSOs), considerando diferentes aspectos que influenciam o nível de privacidade a ser oferecido ao usuário. Neste artigo, propomos a PryMeVis - uma ferramenta online que permite a criação de visualizações correspondentes aos modelos de compartilhamento de informações pessoais em RSOs, criados com o uso do MDP. Além disso, apresentamos também uma avaliação preliminar de tal ferramenta, com os resultados indicando que a mesma pode ser importante para apoiar designers no uso do MDP para a modelagem de privacidade em RSOs.
Referências
Belanger, F. and Crossler, R. E. (2011). Privacy in the digital age: A review of information privacy research in information systems. MIS Quarterly, 35(4):1017–1041.
Bevan, J., Cummings, M., Kubiniec, A., Mogannam, M., Price, M., and Todd, R. (2015). How are important life events disclosed on facebook? relationships with likehood of sharing and privacy. Cyberpsychology, behavior and social networking, 18(1):8–11.
de Souza, C. S. (2005). The semiotic engineering of human computer interaction. MIT Press, Cambridge, MA.
Epstein, D. A., Jacobson, B. H., Bales, E., McDonald, D. W., and Munson, S. A. (2015). From "nobody cares"to "way to go!": A design framework for social sharing in personal informatics. In Proceedings of the 18th ACM Conference on Computer Supported CooperativeWork & Social Computing, CSCW ’15, pages 1622–1636, New York, NY, USA. ACM.
Gao, B. and Berendt, B. (2013). Circles, posts and privacy in egocentric social networks: An exploratory visualization approach. In Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM ’13, pages 792–796, New York, NY, USA. ACM.
Kosinski, M., Stillwell, D., and Graepel, T. (2013). Private traits and attributes are predictable from digital records of human behavior. Proceedings of the National Academy of Sciences, 110(15):5802–5805.
Malandrino, D., Petta, A., Scarano, V., Serra, L., Spinelli, R., and Krishnamurthy, B. (2013). Privacy awareness about information leakage: Who knows what about me? In Proceedings of the 12th ACM Workshop on Workshop on Privacy in the Electronic Society, WPES ’13, pages 279–284, New York, NY, USA. ACM.
Mazzia, A., LeFevre, K., and Adar, E. (2012). The pviz comprehension tool for social network privacy settings. In Proceedings of the Eighth Symposium on Usable Privacy and Security, SOUPS ’12, pages 13:1–13:12, New York, NY, USA. ACM.
Pang, J. and Zhang, Y. (2015). A new access control scheme for facebook-style social networks. Computers & Security, 54:44–59.
Paul, T., Stopczynski, M., Puscher, D., Volkamer, M., and Strufe, T. (2012). C4ps: Colors for privacy settings. In Proceedings of the 21st International Conference on World Wide Web, WWW ’12 Companion, pages 585–586, New York, NY, USA. ACM.
Pereira Junior, M., Xavier, S., and Prates, R. O. (2014). Investigating the use of a simulator to support users in anticipating impact of privacy settings in facebook. In Proceedings of the 18th ACM International Conference on Supporting Group Work, pages 63–72. ACM.
Romero, N. A., Markopoulos, P., and Greenberg, S. (2013). Grounding privacy in mediated communication. Comput. Supported Coop. Work, 22(1):1–32.
Schlegel, R., Kapadia, A., and Lee, A. J. (2011). Eyeing your exposure: Quantifying and controlling information sharing for improved privacy. In Proceedings of the Seventh Symposium on Usable Privacy and Security, SOUPS ’11, pages 14:1–14:14, New York, NY, USA. ACM.
Silveira, M. S., Barbosa, S. D. J., and Souza, C. S. d. (2004). Designing online help systems for reflective users. Journal of the Brazilian Computer Society, 9(3):25–38.
Stutzman, F. and Hartzog, W. (2012). Boundary regulation in social media. In Proceedings of the ACM 2012 Conference on Computer Supported Cooperative Work, CSCW ’12, pages 769–778, New York, NY, USA. ACM.
Tierney, M. and Subramanian, L. (2014). Realizing privacy by definition in social networks. In Proceedings of 5th Asia-Pacific Workshop on Systems, pages 1–7.
Villela, M. L., Xavier, S. I., Prates, R. O., Prates, M. O., Shipman, F., Prates, A. A., and Cardoso, A. A. (2015). Contrasting people’s attitudes towards self-disclosure in online social networks and face-to-face settings. In Proceedings of 21th International Conference on Collaboration and Technology (CRIWG 2015), pages 232–247.
Villela, M. L. B. and Prates, R. O. (2015). Supporting designer in modeling privacy for social network sites. In Proceedings of XIV Brazilian Symposium on Human Factors in Computer Systems (IHC 2015), pages 113–122, Salvador - BA. Sociedade Brasileira de Computação.
Villela, M. L. B. V. (2016). Um Modelo de Design de Privacidade para o Compartilhamento de Informacoes Pessoais em Redes Sociais Online. PhD thesis, Departamento de Ciencia da Computacao, UFMG.
Wang, Y., Gou, L., Xu, A., Zhou, M. X., Yang, H., and Badenes, H. (2015). Veilme: An interactive visualization tool for privacy configuration of using personality traits. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, CHI ’15, pages 817–826, New York, NY, USA. ACM.