Wearable ambient sound display: embedding information in personal music

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

doi:10.1145/2971763.2971789

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 proceeding › Conference Paper › Other

3 Citations (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 language	English
Title of host publication	Proceedings of the 2016 ACM International Symposium on Wearable Computers
Editors	Anja Exler
Place of Publication	Piscataway NJ USA
Publisher	Association for Computing Machinery (ACM)
Pages	58-59
Number of pages	2
ISBN (Electronic)	9781450344609
DOIs	https://doi.org/10.1145/2971763.2971789
Publication status	Published - Sept 2016
Externally published	Yes
Event	ACM International Symposium on Wearable Computing 2016 - Heidelberg, Germany Duration: 12 Sept 2016 → 16 Sept 2016 Conference number: 20th https://dl.acm.org/doi/proceedings/10.1145/2971763 (Proceedings)

Publication series

Name	International Symposium on Wearable Computers, Digest of Papers
Publisher	Association for Computing Machinery (ACM)
Volume	12-16-September-2016

Conference

Conference	ACM International Symposium on Wearable Computing 2016
Abbreviated title	ISWC 2016
Country/Territory	Germany
City	Heidelberg
Period	12/09/16 → 16/09/16
Internet address	https://dl.acm.org/doi/proceedings/10.1145/2971763 (Proceedings)

Keywords

Distraction free
Frequency filtering
Process monitoring
Sonification
Wearable audio display

Access to Document

10.1145/2971763.2971789

Cite this

Chernyshov, G., Tag, B., Chen, J., Noriyasu, V., Lukowicz, P., & Kunze, K. (2016). Wearable ambient sound display: embedding information in personal music. In A. Exler (Ed.), Proceedings of the 2016 ACM International Symposium on Wearable Computers (pp. 58-59). Article 2971789 (International Symposium on Wearable Computers, Digest of Papers; Vol. 12-16-September-2016). Association for Computing Machinery (ACM). https://doi.org/10.1145/2971763.2971789

Chernyshov, George ; Tag, Benjamin ; Chen, Jiajun et al. / Wearable ambient sound display : embedding information in personal music. Proceedings of the 2016 ACM International Symposium on Wearable Computers. editor / Anja Exler. Piscataway NJ USA : Association for Computing Machinery (ACM), 2016. pp. 58-59 (International Symposium on Wearable Computers, Digest of Papers).

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title = "Wearable ambient sound display: embedding information in personal music",

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.",

keywords = "Distraction free, Frequency filtering, Process monitoring, Sonification, Wearable audio display",

author = "George Chernyshov and Benjamin Tag and Jiajun Chen and Vontin Noriyasu and Paul Lukowicz and Kai Kunze",

note = "Publisher Copyright: {\textcopyright} 2016 ACM.; ACM International Symposium on Wearable Computing 2016, ISWC 2016 ; Conference date: 12-09-2016 Through 16-09-2016",

year = "2016",

month = sep,

doi = "10.1145/2971763.2971789",

language = "English",

series = "International Symposium on Wearable Computers, Digest of Papers",

publisher = "Association for Computing Machinery (ACM)",

pages = "58--59",

editor = "Anja Exler",

booktitle = "Proceedings of the 2016 ACM International Symposium on Wearable Computers",

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Chernyshov, G, Tag, B, Chen, J, Noriyasu, V, Lukowicz, P & Kunze, K 2016, Wearable ambient sound display: embedding information in personal music. in A Exler (ed.), Proceedings of the 2016 ACM International Symposium on Wearable Computers., 2971789, International Symposium on Wearable Computers, Digest of Papers, vol. 12-16-September-2016, Association for Computing Machinery (ACM), Piscataway NJ USA, pp. 58-59, ACM International Symposium on Wearable Computing 2016, Heidelberg, Germany, 12/09/16. https://doi.org/10.1145/2971763.2971789

Wearable ambient sound display: embedding information in personal music. / Chernyshov, George; Tag, Benjamin; Chen, Jiajun et al.
Proceedings of the 2016 ACM International Symposium on Wearable Computers. ed. / Anja Exler. Piscataway NJ USA: Association for Computing Machinery (ACM), 2016. p. 58-59 2971789 (International Symposium on Wearable Computers, Digest of Papers; Vol. 12-16-September-2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other

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T1 - Wearable ambient sound display

T2 - ACM International Symposium on Wearable Computing 2016

AU - Chernyshov, George

AU - Tag, Benjamin

AU - Chen, Jiajun

AU - Noriyasu, Vontin

AU - Lukowicz, Paul

AU - Kunze, Kai

N1 - Conference code: 20th

PY - 2016/9

Y1 - 2016/9

N2 - 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.

AB - 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.

KW - Distraction free

KW - Frequency filtering

KW - Process monitoring

KW - Sonification

KW - Wearable audio display

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Chernyshov G, Tag B, Chen J, Noriyasu V, Lukowicz P, Kunze K. Wearable ambient sound display: embedding information in personal music. In Exler A, editor, Proceedings of the 2016 ACM International Symposium on Wearable Computers. Piscataway NJ USA: Association for Computing Machinery (ACM). 2016. p. 58-59. 2971789. (International Symposium on Wearable Computers, Digest of Papers). doi: 10.1145/2971763.2971789

Wearable ambient sound display: embedding information in personal music

Abstract

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Conference

Keywords

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