Um modelo de negociação de privacidade para sistemas de recomendação social
Rocha, Ânderson Kanegae Soares
MetadataMostrar registro completo
The high rate of growth and variety of information available on the Internet can overwhelm users, not leading them to the best decisions. In this context, social recommender systems play an important role on helping users against the effects of information overload. However, these systems need for data collection from its users social context motivates privacy concerns and may discourage its use. Thus, this dissertation presents a privacy negotiation model for social recommender systems to enable user to control his own privacy from the perspective of computer science. So, the user can decide to provide access to their data considering the personalization benefits that the system can offer him in exchange and is not forced to fully accept the privacy policies though. In this model, the privacy control is possible by means of a user interface design pattern using privacy negotiation techniques. The SocialRecSys social recommender system is an implementation of this model that was used in an evaluation with 32 users. The results showed that users are not satisfied with traditional interfaces and the model can better deal with the potentially different privacy preferences of each user. The results also indicated the high usability of the user interfaces of this model, which increase the flexibility of the systems regarding the configuration options of privacy preferences without harm the usage easiness of it. The implementation of this model shows that this is an alternative to reduce the concerns of privacy of social recommender systems users by increasing the flexibility and providing them a better understanding of the recommender systems. So users can feel encouraged to share their data in social recommender systems and take advantage of its personalization benefits.
Apresentado os itens relacionados pelo título, autor e assunto.
Pontes, Diego Roberto Gonçalves de; http://lattes.cnpq.br/0774219282520030 (Universidade Federal de São CarlosUFSCarPrograma de Pós-graduação em Ciência da ComputaçãoCâmpus São Carlos, 2016-07-13)Users do not usually read privacy policies from online services. Among the main reasons for that is the fact that such policies are long and commonly hard to understand, which makes the user lose interest in reading them ...
Privacy agents in the IoT : considerations on how to balance agent autonomy and user control in privacy decisions Colnago, Jessica Helena; http://lattes.cnpq.br/1786860846146115 (Universidade Federal de São CarlosUFSCarPrograma de Pós-graduação em Ciência da ComputaçãoCâmpus São Carlos, 2016-06-20)This thesis explored aspects that can help balance the level of user control and system autonomy for intelligent privacy agents in the context of the Internet of Things. This proposed balance could be reached considering ...
Melo, Leonardo Leite de; http://lattes.cnpq.br/8226386907565166 (Universidade Federal de São CarlosBRUFSCarPrograma de Pós-graduação em Ciência da Computação, 2013-09-03)Technological advances present in mobile devices feature such as camera, GPS tracking system, internet connection which has enabled the installation of applications that use these resources enabling access to almost unlimited ...