Towards mobile sensor-aware crowdsourcing

Architecture, opportunities and challenges

Jiyin He, Kai Steven Kunze, Christoph Lofi, Sanjay K. Madria, Stephan Sigg

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

5 Citations (Scopus)

Abstract

The recent success of general purpose crowdsourcing platforms like Amazon Mechanical Turk paved the way for a plethora of crowd-enabled applications and workflows. However, the variety of tasks which can be approached via such crowdsourcing platforms is limited by constraints of the web-based interface. In this paper, we propose mobile user interface clients. Switching to mobile clients has the potential to radically change the way crowdsourcing is performed, and allows for a new breed of crowdsourcing tasks. Here, especially the ability to tap into the wealth of precision sensors embedded in modern mobile hardware is a game changer. In this paper, we will discuss opportunities and challenges resulting from such a platform, and discuss a reference architecture.

Original languageEnglish
Title of host publicationDatabase Systems for Advanced Applications - 19th International Conference, DASFAA 2014, International Workshops: BDMA, DaMEN, SIM3, UnCrowd, Revised Selected Papers
PublisherSpringer Verlag
Pages403-412
Number of pages10
Volume8505 LNCS
ISBN (Print)9783662439838
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event19th International Conference on Database Systems for Advanced Applications, DASFAA 2014 - Bali, Indonesia
Duration: 2014 Apr 212014 Apr 24

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8505 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other19th International Conference on Database Systems for Advanced Applications, DASFAA 2014
CountryIndonesia
CityBali
Period14/4/2114/4/24

Fingerprint

User interfaces
Interfaces (computer)
Hardware
Sensor
Sensors
Web-based
User Interface
Work Flow
Game
Architecture

Keywords

  • Location-aware crowdsourcing
  • Mobile platforms
  • Sensor-enabled crowdsourcing

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

He, J., Kunze, K. S., Lofi, C., Madria, S. K., & Sigg, S. (2014). Towards mobile sensor-aware crowdsourcing: Architecture, opportunities and challenges. In Database Systems for Advanced Applications - 19th International Conference, DASFAA 2014, International Workshops: BDMA, DaMEN, SIM3, UnCrowd, Revised Selected Papers (Vol. 8505 LNCS, pp. 403-412). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8505 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-662-43984-5_31

Towards mobile sensor-aware crowdsourcing : Architecture, opportunities and challenges. / He, Jiyin; Kunze, Kai Steven; Lofi, Christoph; Madria, Sanjay K.; Sigg, Stephan.

Database Systems for Advanced Applications - 19th International Conference, DASFAA 2014, International Workshops: BDMA, DaMEN, SIM3, UnCrowd, Revised Selected Papers. Vol. 8505 LNCS Springer Verlag, 2014. p. 403-412 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8505 LNCS).

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

He, J, Kunze, KS, Lofi, C, Madria, SK & Sigg, S 2014, Towards mobile sensor-aware crowdsourcing: Architecture, opportunities and challenges. in Database Systems for Advanced Applications - 19th International Conference, DASFAA 2014, International Workshops: BDMA, DaMEN, SIM3, UnCrowd, Revised Selected Papers. vol. 8505 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8505 LNCS, Springer Verlag, pp. 403-412, 19th International Conference on Database Systems for Advanced Applications, DASFAA 2014, Bali, Indonesia, 14/4/21. https://doi.org/10.1007/978-3-662-43984-5_31
He J, Kunze KS, Lofi C, Madria SK, Sigg S. Towards mobile sensor-aware crowdsourcing: Architecture, opportunities and challenges. In Database Systems for Advanced Applications - 19th International Conference, DASFAA 2014, International Workshops: BDMA, DaMEN, SIM3, UnCrowd, Revised Selected Papers. Vol. 8505 LNCS. Springer Verlag. 2014. p. 403-412. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-662-43984-5_31
He, Jiyin ; Kunze, Kai Steven ; Lofi, Christoph ; Madria, Sanjay K. ; Sigg, Stephan. / Towards mobile sensor-aware crowdsourcing : Architecture, opportunities and challenges. Database Systems for Advanced Applications - 19th International Conference, DASFAA 2014, International Workshops: BDMA, DaMEN, SIM3, UnCrowd, Revised Selected Papers. Vol. 8505 LNCS Springer Verlag, 2014. pp. 403-412 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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