Extended-Reality (XR) devices are packed with sensors that allow tracking of users (e.g., behaviour, actions, eye-gaze) and their surroundings (e.g., people, places, objects). As a consequence, XR devices pose significant risks to privacy, security, and our ability to understand and influence the behaviour of users -risks that will be amplified by ever-increasing adoption. This necessitates addressing these concerns before XR becomes ubiquitous. We conducted three focus groups with thirteen XR experts from industry and academia interested in XR, security, and privacy, to investigate current and emerging issues relating to security, privacy, and influencing behaviour. We identified issues such as virtual threats leading to physical harm, missing opting-out methods, and amplifying bias through perceptual filters. From the results we establish a collection of prescient challenges relating to security, privacy and behavioural manipulation within XR and present recommendations working towards developing future XR devices that better support security and privacy by default.
CCS CONCEPTS• Human-centered computing → Mixed / augmented reality; • Security and privacy → Human and societal aspects of security and privacy.
This paper explores the effects of adding augmented reality (AR) artefacts to an existing TV programme. A prototype was implemented augmenting a popular nature documentary. Synchronised content was delivered over a Microsoft HoloLens and a TV. Our preliminary findings suggest that the addition of AR to an existing TV programme can result in creation of engaging experiences. However, presenting content outside the traditional TV window challenges traditional storytelling conventions and viewer expectations. Further research is required to understand the risks and opportunities presented when adding AR artefacts to TV.
As Augmented Reality Television (ARTV) transitions out of the feasibility phase, it is crucial to understand the impact of design decisions on the viewers' ARTV experiences. In a previous study, six ARTV design dimensions were identified by relying on insights from existing prototypes. However, the set of possible dimensions is likely to be broader. Building on top of previous work, we create an ARTV design space and present it in a textual cheat sheet. We subsequently evaluate the cheat sheet in a between-subject study (n = 10), with participants with wide-ranging expertise. We identified six new dimensions (genre, broadcast mode, audience demographics, cartoonish vs. photoreal representation, modality, and privacy), and a new aspect (360 • ) for the display dimension. In light of our observations, we provide an updated ARTV design space and observe that asking participants to write ARTV scenarios can be an effective method for harvesting novel design dimensions.
CCS CONCEPTS• Human-centered computing → Empirical studies in HCI.
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