Wearable Ambient Sound Display: Embedding Information in Personal Music
George Chernyshov, Benjamin Tag, Jiajun Chen, Vontin Noriyasu, Paul Lukowicz, Kai Kunze
ISWC'16 - PROCEEDINGS OF THE 2016 ACM INTERNATIONAL SYMPOSIUM ON WEARABLE COMPUTERS | ASSOC COMPUTING MACHINERY | Published : 2016
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 engaged in either a cognitive (Sudoku solving) or one of two physical tasks (running on a treadmill or playing table tennis), with up to a 98 % detection rate.
We would like to thank Fujitsu Design Japan and all participants for their support and involvement.