42 research outputs found
Towards Building User-Centric Privacy-Respecting Collaborative Applications
The Internet is accepted as the de facto information support system in most areas of our professional and leisure life. Nowadays, a shift from single-user-centered usage to support multi-user needs can be observed either in professional life (e.g. when participating in collaborative business processes) and in leisure life activities (e.g. when participating in non-profit communities). The needed environment is provided through collaborative systems and social software (e.g. wikis, blogs, etc.). These environments provide e.g. shared workspaces, where collaborative processes and activities like document sharing, group formation, coordination and communication activities, etc. can take place. For this, collaborative settings need some degree of user’s information disclosure (e.g. partial or full identity revelation). Depending on the actual context and a users sensitivity to a (partial) loss of privacy in a given context a users trust in a system handling privacy is crucial for its acceptance and overall success. Many end-user expectations are covered by functional requirements (FRs), most end-user preferences (e.g. usability, response time) and concerns (e.g. privacy, security) are non-functional requirements (NFRs). Considering current approaches, nonfunctional requirements in general and being of special relevance in this context privacy requirements are not considered adequately in the development process and will become one key issue in future software development processes. In this short paper, we present four requirements derived from a case study in collaborative system design and implementation (CURE, s. [1] for details). A framework for adequate (i.e. earlier) consideration of NFR (e.g. privacy) is outlined
Towards better support for collaborative research by using DUIs with mobile devices: SocialTV navigation design case study
Due to the increasing importance of usability and privacy
evaluation (e.g., for SocialTV), an identi�ed challenge in
our case is to support multi-disciplinary research activities
related to it (e.g. rapid prototyping or interaction design
evaluation) in a collaborative way. In this paper, we propose
extending a collaborative system in order to exibly allow
for react on change requirements with respect to realistic So-
cialTV situations for di�erent research purposes (usability
and privacy requirements identi�cation and evaluation etc.).
Thereby a high-�delity prototype that remains exible for
future extensions with reduced realization costs, becomes
crucial. We concretely target this by means of a DUI based
prototype that enables involved people to use their own mo-
bile devices for navigation in a selected SocialTV scenario
Privacy-preserving concepts for supporting recommendations in decentralized OSNs
Recommender systems depend on the amount of available and processable information for a given purpose. Trends towards decentralized online social networks (OSNs), promising more user control by means of privacy preserving mechanisms, lead to new challenges for (social) recommender systems. Information, recommender algorithms rely on, is no longer available, (i.e. central user registries, friends of friends), thus shared data is reduced and centralized processing becomes difficult. In this paper we address such drawbacks based on identified needs in the decentralized OSN di.me and present concepts overcoming those for selected functionalities. Besides this, we tackle the support of privacy advisory, warning the user of risks when sharing data
Enhancing Trust in SOA Based Collaborative Environments
Considering trust and privacy requirements for online and collaborative distance learning environments, this paper discusses potential extensions of SOA based applications to simultaneously support authentication and authorization services, and offering mutual trust to both learners and service providers. This study shows that the security mechanisms integrated in the SOA platform can be effectively extended and correlated with a trust model