Wearable ambient sound display: Embedding information in personal music

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

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

1 Citation (Scopus)

Abstract

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 publicationISWC 2016 - Proceedings of the 2016 ACM International Symposium on Wearable Computers
PublisherIEEE Computer Society
Pages58-59
Number of pages2
Volume12-16-September-2016
ISBN (Electronic)9781450344609
DOIs
Publication statusPublished - 2016 Sep 12
Event20th ACM International Symposium on Wearable Computers, ISWC 2016 - Heidelberg, Germany
Duration: 2016 Sep 122016 Sep 16

Other

Other20th ACM International Symposium on Wearable Computers, ISWC 2016
CountryGermany
CityHeidelberg
Period16/9/1216/9/16

Keywords

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

ASJC Scopus subject areas

  • Hardware and Architecture
  • Software

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  • Cite this

    Chernyshov, G., Tag, B., Chen, J., Noriyasu, V., Lukowicz, P., & Kunze, K. S. (2016). Wearable ambient sound display: Embedding information in personal music. In ISWC 2016 - Proceedings of the 2016 ACM International Symposium on Wearable Computers (Vol. 12-16-September-2016, pp. 58-59). [2971789] IEEE Computer Society. https://doi.org/10.1145/2971763.2971789