On Heterogeneity in Mobile Sensing Applications Aiming at Representative Data Collection

Henrik Blunck; Niels Olof Bouvin; Tobias Franke; Kaj Grønbæk; Mikkel Baun Kjærgaard; Paul Lukowicz; Markus Wüstenberg

doi:10.1145/2494091.2499576

On Heterogeneity in Mobile Sensing Applications Aiming at Representative Data Collection

Henrik Blunck, Niels Olof Bouvin, Tobias Franke, Kaj Grønbæk, Mikkel Baun Kjærgaard, Paul Lukowicz, Markus Wüstenberg

Research output: Contribution to book/anthology/report/proceeding › Article in proceedings › Research › peer-review

23 Citations (Scopus)

476 Downloads (Pure)

Abstract

Gathering representative data using mobile sensing to answer research questions is becoming increasingly popular, driven by growing ubiquity and sensing capabilities of mobile devices. However, there are pitfalls along this path, which introduce heterogeneity in the gathered data, and which are rooted in the diversity of the involved device platforms, hardware, software versions and participants. Thus, we, as a research community, need to establish good practices and methodologies for addressing this issue in order to help ensure that, e.g., scientific results and policy changes based on collective, mobile sensed data are valid. In this paper, we aim to inform researchers and developers about mobile sensing data heterogeneity and ways to combat it. We do so via distilling a vocabulary of underlying causes, and via describing their effects on mobile sensing---building on experiences from three projects within citizen science, crowd awareness and trajectory tracking.

Original language	English
Title of host publication	Proceedings of the 2013 ACM Conference on Pervasive and Ubiquitous Computing Adjunct Publication, UbiComp '13 Adjunct
Editors	Friedemann Mattern , Silvia Santini
Number of pages	13
Publisher	Association for Computing Machinery
Publication date	2013
Pages	1087-1098
ISBN (Print)	978-1-4503-2215-7
DOIs	https://doi.org/10.1145/2494091.2499576
Publication status	Published - 2013
Event	ACM Conference on Pervasive and Ubiquitous Computing Adjunct Publication - Zurich, Switzerland Duration: 8 Sept 2013 → 12 Sept 2013

Conference

Conference	ACM Conference on Pervasive and Ubiquitous Computing Adjunct Publication
Country/Territory	Switzerland
City	Zurich
Period	08/09/2013 → 12/09/2013

Keywords

Mobile Sensing
Heterogeneity
Data Collection
Representativeness

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10.1145/2494091.2499576

On Heterogeneity in Mobile Sensing Applications Aiming at Representative Data CollectionFinal published version, 2.33 MB

http://dl.acm.org/citation.cfm?id=2499576

EcoSense: EcoSense
Grønbæk, K. (Participant)
01/02/2012 → 31/01/2016
Project: Research

Cite this

Blunck, H., Bouvin, N. O., Franke, T., Grønbæk, K., Kjærgaard, M. B., Lukowicz, P., & Wüstenberg, M. (2013). On Heterogeneity in Mobile Sensing Applications Aiming at Representative Data Collection. In F. Mattern , & S. Santini (Eds.), Proceedings of the 2013 ACM Conference on Pervasive and Ubiquitous Computing Adjunct Publication, UbiComp '13 Adjunct (pp. 1087-1098 ). Association for Computing Machinery. https://doi.org/10.1145/2494091.2499576

Blunck, Henrik ; Bouvin, Niels Olof ; Franke, Tobias et al. / On Heterogeneity in Mobile Sensing Applications Aiming at Representative Data Collection. Proceedings of the 2013 ACM Conference on Pervasive and Ubiquitous Computing Adjunct Publication, UbiComp '13 Adjunct. editor / Friedemann Mattern ; Silvia Santini . Association for Computing Machinery, 2013. pp. 1087-1098

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title = "On Heterogeneity in Mobile Sensing Applications Aiming at Representative Data Collection",

abstract = "Gathering representative data using mobile sensing to answer research questions is becoming increasingly popular, driven by growing ubiquity and sensing capabilities of mobile devices. However, there are pitfalls along this path, which introduce heterogeneity in the gathered data, and which are rooted in the diversity of the involved device platforms, hardware, software versions and participants. Thus, we, as a research community, need to establish good practices and methodologies for addressing this issue in order to help ensure that, e.g., scientific results and policy changes based on collective, mobile sensed data are valid. In this paper, we aim to inform researchers and developers about mobile sensing data heterogeneity and ways to combat it. We do so via distilling a vocabulary of underlying causes, and via describing their effects on mobile sensing---building on experiences from three projects within citizen science, crowd awareness and trajectory tracking.",

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author = "Henrik Blunck and Bouvin, {Niels Olof} and Tobias Franke and Kaj Gr{\o}nb{\ae}k and Kj{\ae}rgaard, {Mikkel Baun} and Paul Lukowicz and Markus W{\"u}stenberg",

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doi = "10.1145/2494091.2499576",

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publisher = "Association for Computing Machinery",

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Blunck, H, Bouvin, NO, Franke, T, Grønbæk, K, Kjærgaard, MB, Lukowicz, P & Wüstenberg, M 2013, On Heterogeneity in Mobile Sensing Applications Aiming at Representative Data Collection. in F Mattern & S Santini (eds), Proceedings of the 2013 ACM Conference on Pervasive and Ubiquitous Computing Adjunct Publication, UbiComp '13 Adjunct. Association for Computing Machinery, pp. 1087-1098 , ACM Conference on Pervasive and Ubiquitous Computing Adjunct Publication, Zurich, Switzerland, 08/09/2013. https://doi.org/10.1145/2494091.2499576

On Heterogeneity in Mobile Sensing Applications Aiming at Representative Data Collection. / Blunck, Henrik; Bouvin, Niels Olof; Franke, Tobias et al.
Proceedings of the 2013 ACM Conference on Pervasive and Ubiquitous Computing Adjunct Publication, UbiComp '13 Adjunct. ed. / Friedemann Mattern ; Silvia Santini . Association for Computing Machinery, 2013. p. 1087-1098 .

Research output: Contribution to book/anthology/report/proceeding › Article in proceedings › Research › peer-review

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T1 - On Heterogeneity in Mobile Sensing Applications Aiming at Representative Data Collection

AU - Blunck, Henrik

AU - Bouvin, Niels Olof

AU - Franke, Tobias

AU - Grønbæk, Kaj

AU - Kjærgaard, Mikkel Baun

AU - Lukowicz, Paul

AU - Wüstenberg, Markus

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N2 - Gathering representative data using mobile sensing to answer research questions is becoming increasingly popular, driven by growing ubiquity and sensing capabilities of mobile devices. However, there are pitfalls along this path, which introduce heterogeneity in the gathered data, and which are rooted in the diversity of the involved device platforms, hardware, software versions and participants. Thus, we, as a research community, need to establish good practices and methodologies for addressing this issue in order to help ensure that, e.g., scientific results and policy changes based on collective, mobile sensed data are valid. In this paper, we aim to inform researchers and developers about mobile sensing data heterogeneity and ways to combat it. We do so via distilling a vocabulary of underlying causes, and via describing their effects on mobile sensing---building on experiences from three projects within citizen science, crowd awareness and trajectory tracking.

AB - Gathering representative data using mobile sensing to answer research questions is becoming increasingly popular, driven by growing ubiquity and sensing capabilities of mobile devices. However, there are pitfalls along this path, which introduce heterogeneity in the gathered data, and which are rooted in the diversity of the involved device platforms, hardware, software versions and participants. Thus, we, as a research community, need to establish good practices and methodologies for addressing this issue in order to help ensure that, e.g., scientific results and policy changes based on collective, mobile sensed data are valid. In this paper, we aim to inform researchers and developers about mobile sensing data heterogeneity and ways to combat it. We do so via distilling a vocabulary of underlying causes, and via describing their effects on mobile sensing---building on experiences from three projects within citizen science, crowd awareness and trajectory tracking.

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KW - Heterogeneity

KW - Data Collection

KW - Representativeness

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BT - Proceedings of the 2013 ACM Conference on Pervasive and Ubiquitous Computing Adjunct Publication, UbiComp '13 Adjunct

A2 - Mattern , Friedemann

A2 - Santini , Silvia

PB - Association for Computing Machinery

T2 - ACM Conference on Pervasive and Ubiquitous Computing Adjunct Publication

Y2 - 8 September 2013 through 12 September 2013

ER -

Blunck H, Bouvin NO, Franke T, Grønbæk K, Kjærgaard MB, Lukowicz P et al. On Heterogeneity in Mobile Sensing Applications Aiming at Representative Data Collection. In Mattern F, Santini S, editors, Proceedings of the 2013 ACM Conference on Pervasive and Ubiquitous Computing Adjunct Publication, UbiComp '13 Adjunct. Association for Computing Machinery. 2013. p. 1087-1098 doi: 10.1145/2494091.2499576

On Heterogeneity in Mobile Sensing Applications Aiming at Representative Data Collection

Abstract

Conference

Keywords

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Projects

EcoSense: EcoSense

Cite this