22 research outputs found

    Feather Hair : Interacting with Sensorized Hair in Public Settings

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    Human hair opens up new opportunities for embodied interactions that build on its unique physical affordances and location on the body. As hair has high socio-cultural significance, the design of hair interfaces is coupled with social and personal needs. Albeit this makes field investigations indispensable, they are missing from prior work. We present a fabrication approach for gesture-controlled hair interfaces that are robust enough to be deployed in the field. Our approach contributes sensorized feather hair extensions that combine capacitive and piezoresistive sensing. Their tactile properties make the interface blend seamlessly with human hair. We furthermore contribute results from a field experiment where participants gained first-hand experience in various social contexts. These show how hair-based interactions have great potential moving beyond planar touch gestures whilst their social appropriateness is context-sensitive. We synthesize the findings into design implications that ground the future design of usable and socially acceptable hair interfaces

    PrivacEye: Privacy-Preserving Head-Mounted Eye Tracking Using Egocentric Scene Image and Eye Movement Features

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    Eyewear devices, such as augmented reality displays, increasingly integrate eye tracking but the first-person camera required to map a user's gaze to the visual scene can pose a significant threat to user and bystander privacy. We present PrivacEye, a method to detect privacy-sensitive everyday situations and automatically enable and disable the eye tracker's first-person camera using a mechanical shutter. To close the shutter in privacy-sensitive situations, the method uses a deep representation of the first-person video combined with rich features that encode users' eye movements. To open the shutter without visual input, PrivacEye detects changes in users' eye movements alone to gauge changes in the "privacy level" of the current situation. We evaluate our method on a first-person video dataset recorded in daily life situations of 17 participants, annotated by themselves for privacy sensitivity, and show that our method is effective in preserving privacy in this challenging setting.Comment: 10 pages, 6 figures, supplementary materia

    A Simple Stochastic Model with Environmental Transmission Explains Multi-Year Periodicity in Outbreaks of Avian Flu

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    Avian influenza virus reveals persistent and recurrent outbreaks in North American wild waterfowl, and exhibits major outbreaks at 2–8 years intervals in duck populations. The standard susceptible-infected- recovered (SIR) framework, which includes seasonal migration and reproduction, but lacks environmental transmission, is unable to reproduce the multi-periodic patterns of avian influenza epidemics. In this paper, we argue that a fully stochastic theory based on environmental transmission provides a simple, plausible explanation for the phenomenon of multi-year periodic outbreaks of avian flu. Our theory predicts complex fluctuations with a dominant period of 2 to 8 years which essentially depends on the intensity of environmental transmission. A wavelet analysis of the observed data supports this prediction. Furthermore, using master equations and van Kampen system-size expansion techniques, we provide an analytical expression for the spectrum of stochastic fluctuations, revealing how the outbreak period varies with the environmental transmission

    Understanding the Socio-Technical Impact of Automated (Aerial) Vehicles on Casual Bystanders

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    International audienceAutomated vehicles are coming to our streets and into our air. These automated vehicles are not acting as fully independent entities but are embedded into our social space and are affecting humans with which they interact. Recent advances are looking at the direct cooperation of human and machine in concrete interaction scenes such as steering a semi-automated drone or interacting with an automated car as a pedestrian. What we do not understand yet, is the reaction of automated systems on individuals that are casual bystanders of the automated systems. Cooperation and social acceptance of the casual bystanders are crucial in many situations. Affects such as irritation, anxiety or frustration may be easily invoked by the automated object. We need to anticipate effects on bystanders and include this into the interaction design space

    Beyond LED status lights - Design requirements of privacy notices for body-worn cameras

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    Ubiquitous Intelligent Cameras—Between Legal Nightmare and Social Empowerment

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    Putting books back on the shelf

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    We consider the reasons why we organise books in a physical environment and investigate whether situating interactions with a smartphone could improve the user experience of e-readers. Our prototype uses the Kinect depth sensor to detect the position of a user in relation to sections of a physical bookshelf. We also built a mobile application that allows users to browse and organise digital books by moving between each section. We present our initial observations of a user study that evaluated search and categorisation tasks with our prototype. Our findings motivate reasons to explore digital books in a physical environment and indicate issues to consider when designing situated interactions with e-readers
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