Awareness of indirect information disclosure on social network sites

Abstract This research investigates user awareness and attitudes toward potential inferences of information posted on social network sites (SNSs). The study reports how user attitudes change after exposure to inferences made based upon information they have disclosed on an SNS, namely, on Facebook. To demonstrate this, two sub-studies involving three focus group sessions were conducted with Facebook users. In the first sub-study, the users received a general introduction to information that can be inferred from posts by using a prototypical privacy-enhancement tool called DataBait. Then, the second sub-study allowed the users to witness the potential inferences of their own Facebook photos and posts by using the DataBait tool. Next, qualitative content analysis was conducted to analyze the results, and these showed that the participants’ attitudes toward privacy on SNSs changed from affective to cognitive when they became aware of potential inferences from actual information posted on their own Facebook accounts. The results imply that end users require more cognitive awareness regarding their genres of disclosure and the effect of their disclosures on their privacy. Moreover, as privacy awareness is contextual, there is a need for more research and development of online tools that will allow users to manage and educate themselves

Exploring Factors Influencing Participant Drop-Out Behavior in a Living Lab Environment

The concept of “living lab” is a rather new phenomenon that facilitates user involvement in open innovation activities. The users’ motivations to contribute to the living lab activities at the beginning of the project are usually higher than once the activities are underway. However, the literature still lacks an understanding of what actions are necessary to reduce the likelihood of user drop-out throughout the user engagement process. This study aims to explore key factors that are influential on user drop-out in a living lab setting by engaging users to test an innovation during the pilot phase of the application’s development. The stability of the prototype, ease of use, privacy protection, flexibility of the prototype, effects of reminders, and timing issues are the key influential factors on user drop-out behavior. This paper summarizes the key lessons learned from the case study and points to avenues for future research.USEMP, Privacy Flag, U4IOTUser Engagement for Large Scale Pilots in the Internet of Things, U4Io

Understanding Organization and Open Source Community Relations through the Attraction-Selection-Attrition Model

Organizations increasingly engage with open source communities. Extant research identified the benefits to organizations for engaging with open source and documented how open source communities operate to accommodate organizational engagement. The complexities involved in what attracts organizations to specific communities, how they choose to engage, and how subsequently the organizational-communal engagement shapes the community and organization are not yet well understood. In this paper, we explore how the Attraction-Selection-Attrition Model supports the study of how communities attract, retain, and lose members, and how these aspects relate to organizational-communal engagement between organizations and open source communities. This conceptual paper provides an introduction to the ASA model, having briefly outlined the lack of research connecting ASA and open source communities. Following this, the paper outlines how existing research related to the ASA model may be effectively related to existing open source research, resulting in several questions for future research

Designing Cognitive Cities

Thefollowingtextintendstogiveanintroductionintosomeofthebasic ideas which determined the conception of this book. Thus, the first part of this article introduces the terms “City”, “Smart City” and “Cognitive City”. The second part gives an overview of design theories and approaches such as Action Design Research and Ontological Design (a concept in-the-making), in order to deduce from a theoretical point of view some of the principles that needs to be taken into account when designing the Cognitive City. The third part highlights some concrete techniques that can be usefully applied to the problem of citizen communication for Cognitive Cities (namely Metaheuristics, Fuzzy Sets and Fuzzy Logic, Computing with Words, Computational Intelligence Classifiers, and Fuzzy-based Ontologies). Finally, we introduce the articles of this book