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Privacy has been a key research theme in the CSCW and HCI communities, but the term is often used in an ad hoc and fragmented way. This is likely due to the fact that privacy is a complex and multi-faceted concept. This one-day workshop will facilitate discourse around key privacy theories and frameworks that can inform privacy research with the goal of producing guidelines for privacy researchers on how and when to incorporate which theories into various aspects of their empirical privacy research. This will lay the groundwork to move the privacy field forward.
As our lives become increasingly digitized, how people maintain and manage their networked privacy has become a formidable challenge for academics, practitioners, and policy-makers. A shift toward people-centered privacy initiatives has shown promise; yet many applications still adopt a “one-size fits all” approach, which fails to consider how individual differences in concerns, preferences, and behaviors shape how different people interact with and through technology.
The main goal of this one-day workshop is to highlight individual differences (e.g., age, culture, personal preference) that influence users’ experiences and privacy-related outcomes and to formulate best practices to account for these differences within privacy research, system design, and the policies that regulate online privacy practices.
Privacy research has been criticized for ignoring other values that, in all but a few real world situations, need to be reconciled with privacy. These tensions suggest that privacy might not always be in the user’s best interest or in the best interest of society. While this assertion may seem obvious, a large portion of the empirical, theoretical, and design-based research on networked privacy continues to focus solely on how to protect individuals from unwanted access and over-sharing. These studies range from designing better privacy defaults to raising privacy awareness to more algorithmic approaches that nudge users toward being more private.
Given this emphasis on trying to increase privacy protection for end users, the primary goal of this workshop is to initiate a discussion on the real, potential, and imagined ethical concerns associated with such a privacy-focused agenda. The workshop shifts the current discussions around user and data privacy from focusing on boundary regulation processes to evaluating how multiple competing values—and especially values around privacy and ethics—shape research and design processes. Over the course of one day, we will bring together researchers and practitioners from the broader CSCW and ACM community to develop heuristics to guide privacy and ethical decision-making in regard to both research design and designs for privacy protection.
This intensive one-day workshop at CHI ’16 seeks to reinvigorate conversations in the CHI community around privacy and design to refocus our attention on developing methods to systematically incorporate privacy into design processes. The workshop will bring together leading privacy researchers in academia and industry to unpack the barriers preventing PbD concepts from being implemented in design.
The topics of the International Workshop on Privacy Engineering (IWPE’15) focus on all the aspects surrounding privacy engineering, ranging from its theoretical foundations, engineering approaches, and support infrastructures, to its practical application in projects of different scale.
Building on this work and previous workshops at CSCW and CHI, this two-day workshop examines networked privacy challenges from a broader perspective by (1) identifying the most important issues researchers will need to address in the next decade and (2) working to create actionable solutions for these privacy issues that future researchers can empirically test.
Social media plays an increasingly important role in interpersonal relationships and, consequently, raises privacy questions for end-users. However, there is little guidance or consensus for researchers on how to measure privacy in social media contexts. Privacy measurement has focused more on data protection and used scales such as CFIP and IUIPC that primarily emphasize informational privacy concerns and are less effective at capturing interpersonal and interactional privacy concerns. To facilitate cross-study comparisons, it is important to develop appropriate metrics and techniques for measuring privacy concerns in social media. Towards that goal, our 2-day workshop will cultivate a common understanding of current methods for measuring social privacy, as well as various existing interpersonal privacy frameworks.
Privacy has traditionally been framed as a way for individuals to protect themselves from the consequences of too much information disclosure. However, privacy can be a means to enhance social media outcomes and is essential for coordinating cooperative relationships. In this workshop we seek to: a) broaden the lens of social media privacy research to examine the benefits and outcomes of interactional privacy as they relate to social media goals; and b) discuss the design of social media interfaces that are responsive to both relational and privacy needs.
As our lives are more commonly mediated by IT, an interactional perspective of privacy is increasingly applicable to the study of how people find and construct privacy in socio-technical interactions. This perspective has received increasing attention within the HCI research community in recent years. While the interactional perspective has proven effective as a starting point for theoretical and empirical studies of privacy in relation to everyday use of IT, there remain important open questions regarding how to translate results based on this perspective into design practice. Addressing these questions requires a greater sensitivity to when interactional privacy is applicable, a better understanding of suitable research methods, and more effective means for communicating results to the research and practitioner communities.
Privacy protection and management in social media becomes increasingly important. The involvement of multiple stakeholders in personal data makes privacy protection and management no longer a task for indi-vidual users and thus requires the collaboration among all stakeholders. This workshop on collaborative privacy practices (CPP) has three main goals. First, we will explore the contributions that CSCW research has made to our understanding of CPP. Second, we will identify challenges to conceptualizing CPP and to designing and evaluating tools for enacting CPP. Third, we will develop a research agenda for future research on CPP.