George Chernyshov

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In this paper, we present a low cost way to track user's eye movements in a Google Cardboard Virtual Reality Headset. We use the Electrooculography (EOG) module from commercial disassembled smart glasses to augment a cardboard. We present a first signal level evaluation and concepts about VR interaction techniques using relative eye movements.
In this paper we explore how to embed status information of IoT-enabled devices in the acoustic atmosphere using melodic ambient sounds while limiting obtrusiveness for the user. The user can use arbitrary sound samples to represent the devices he wants to monitor. Our system combines these sound samples into a melodic ambient rhythm that contains(More)
In this paper we explore how to embed information into users' music playlists while limiting the obtrusiveness to the user. We focus on continuous over time information rather than discrete information (e.g. "monitoring traffic flow" versus "new email received"). We are presenting results for a traffic monitoring task (4 levels) for 10 users that are(More)
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