Wearable ambient sound display: embedding information in personal music

George Chernyshov, Benjamin Tag, Jiajun Chen, Vontin Noriyasu, Paul Lukowicz, Kai Kunze

Research output: Chapter in Book/Report/Conference proceedingConference PaperOther

3 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationProceedings of the 2016 ACM International Symposium on Wearable Computers
EditorsAnja Exler
Place of PublicationPiscataway NJ USA
PublisherAssociation for Computing Machinery (ACM)
Number of pages2
ISBN (Electronic)9781450344609
Publication statusPublished - Sept 2016
Externally publishedYes
EventACM International Symposium on Wearable Computing 2016 - Heidelberg, Germany
Duration: 12 Sept 201616 Sept 2016
Conference number: 20th
https://dl.acm.org/doi/proceedings/10.1145/2971763 (Proceedings)

Publication series

NameInternational Symposium on Wearable Computers, Digest of Papers
PublisherAssociation for Computing Machinery (ACM)


ConferenceACM International Symposium on Wearable Computing 2016
Abbreviated titleISWC 2016
Internet address


  • Distraction free
  • Frequency filtering
  • Process monitoring
  • Sonification
  • Wearable audio display

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