We are surrounded by digital images of personal lives posted online. Changes in information and communications technology have enabled widespread sharing of personal photos, increasing access to aspects of private life previously less observable. Most studies of privacy online explore differences in individual privacy preferences. Here we examine privacy perceptions of online photos considering both social norms, collectively—shared expectations of privacy and individual preferences. We conducted an online factorial vignette study on Amazon’s Mechanical Turk ( n = 279). Our findings show that people share common expectations about the privacy of online images, and these privacy norms are socially contingent and multidimensional. Use of digital technologies to share personal photos is influenced by social context as well as individual preferences, while such sharing can affect the social meaning of privacy.

Many people enjoy “vertigo” sensations caused by intense playful bodily activities such as spinning in circles, and riding fairground rides. Game scholar Caillois calls such experiences “vertigo play,” elucidating that these enjoyable activities are a result of confusion between sensory channels. In HCI, designers are often cautious to avoid deliberately causing sensory confusion in players, but we believe there is an opportunity to transition and extend Caillois’ thinking to the digital realm, allowing designers to create novel and intriguing digital bodily experiences inspired by traditional vertigo play activities. To this end, we present the Digital Vertigo Experience framework. Derived from four case studies and the development of three different digital vertigo experiences, this framework aims to bring the excitement of traditional vertigo play experiences to the digital world, allowing designers to create more engaging and exciting body-based games, and provides players with more possibilities to enjoy novel and exciting play experiences.

Mixed Reality (MR), Augmented Reality (AR) and Virtual Reality (VR) headsets can improve upon existing physical multi-display environments by rendering large, ergonomic virtual display spaces whenever and wherever they are needed. However, given the physical and ergonomic limitations of neck movement, users may need assistance to view these display spaces comfortably. Through two studies, we developed new ways of minimising the physical effort and discomfort of viewing such display spaces. We first explored how the mapping between gaze angle and display position could be manipulated, helping users view wider display spaces than currently possible within an acceptable and comfortable range of neck movement. We then compared our implicit control of display position based on head orientation against explicit user control, finding significant benefits in terms of user preference, workload and comfort for implicit control. Our novel techniques create new opportunities for productive work by leveraging MR headsets to create interactive wide virtual workspaces with improved comfort and usability. These workspaces are flexible and can be used on-the-go, e.g., to improve remote working or make better use of commuter journeys.

Self-monitoring devices are becoming increasingly popular in the support of physical activity experiences. These devices mostly represent on-screen data using numbers and graphs and in doing so, they may miss multi-sensorial methods for engaging with data. Embracing the opportunity for pleasurable interactions with one's own data through the use of different materials and digital fabrication technology, we designed and studied three systems that turn this data into 3D-printed plastic artifacts, sports drinks, and 3D-printed chocolate treats. We utilize the insights gained from associated studies, related literature, and our experiences in designing these systems to develop a conceptual framework, “ Shelfie. ” The “ Shelfie ” framework has 13 cards that convey key themes for creating material representations of physical activity data. Through this framework, we present a conceptual understanding of relationships between material representation and physical activity data and contribute guidelines to the design of meaningful material representations of physical activity data.

The prevalence of HCI research carried out with nonprofit organizations has increased dramatically over the past 35 years. Despite this history and our accumulating understanding of social sector organizations and their diverse stakeholders’ use of technology, there have not yet been any systematic reviews of this body of research. Before making more holistic claims about what this body of knowledge might suggest for a research agenda moving forward, we carry out a systematic literature review to characterize the systemic biases that are present as a result of the varying degrees of inclusion or exclusion of the voices of different groups of stakeholders. Building off of the results of our analysis, we contribute a framework of Analytic Charismas for more broadly engaging in reflexivity as a discipline.

The Qwerty soft keyboard is widely used on mobile devices. However, keyboards often consume a large portion of the touchscreen space, occluding the application view on the smartphone and requiring a separate input interface on the smartwatch. Such space ...

Sex and intimate technologies are important in people’s everyday lives. A class of technologies that is becoming increasingly more prominent in discussions of the future are sex robots. In this article, we present a qualitative analysis of posts from a ...

Social movement organizing is becoming increasingly dependent on communication technologies. How can Computer-Supported Cooperative Work systems support grassroots organizations in facilitating collective action through democratic participation? In this article, we study Science for the People-Atlanta, a social movement organization dedicated to building a grassroots movement around science activism. We used action research, both participating in the organization and studying it. We use the Freirean model of participatory communication theory to unpack the movement-building process of SftP-Atlanta. The Freirean model provides a three-step, iterative process for sustainable movement building: forming a collective identity, moving toward collective action, and engaging in reflexive dialog. We analyze both the perceived strengths and weaknesses of their sociotechnical practices in supporting the organization as they iteratively go through the phases of the Freirean model. Finally, we identify inclusivity , privacy/security , and social translucence as three values desirable for sociotechnical practices of grassroots organizing.

This essay has three parts. In Part 1, I review six biases that frame the way architects and human–computer interaction (HCI) practitioners think about their design problems. These arise from differences between working on procedurally complex tasks in peripersonal space like writing or sketching and being immersed in larger physical spaces where we dwell and engage in body-sized activity like sitting, chatting, and moving about. In Part 2, I explore three types of interface: classical HCI, network interfaces such as context-aware systems, and socio-ecological interfaces. An interface for an architect is a niche that includes the very people who interact with it. In HCI, people are still distinct from the interface. Because of this difference, architectural conceptions may be a fertile playground for HCI. The same holds for interactivity. In Part 3, I discuss why interactivity in HCI is symmetric and transitive. Only in ecological and social interaction is it also reflexive. In ecological interfaces, people co-create bubbles of joint awareness where they share highly situated values, experience, and knowledge.

We present the VISAR keyboard: An augmented reality (AR) head-mounted display (HMD) system that supports text entry via a virtualised input surface. Users select keys on the virtual keyboard by imitating the process of single-hand typing on a physical touchscreen display. Our system uses a statistical decoder to infer users’ intended text and to provide error-tolerant predictions. There is also a high-precision fall-back mechanism to support users in indicating which keys should be unmodified by the auto-correction process. A unique advantage of leveraging the well-established touch input paradigm is that our system enables text entry with minimal visual clutter on the see-through display, thus preserving the user’s field-of-view. We iteratively designed and evaluated our system and show that the final iteration of the system supports a mean entry rate of 17.75wpm with a mean character error rate less than 1%. This performance represents a 19.6% improvement relative to the state-of-the-art baseline investigated: A gaze-then-gesture text entry technique derived from the system keyboard on the Microsoft HoloLens. Finally, we validate that the system is effective in supporting text entry in a fully mobile usage scenario likely to be encountered in industrial applications of AR HMDs.