Towards mobile sensor-aware crowdsourcing: Architecture, opportunities and challenges

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

研究成果: Conference contribution

7 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルDatabase Systems for Advanced Applications - 19th International Conference, DASFAA 2014, International Workshops
ホスト出版物のサブタイトルBDMA, DaMEN, SIM3, UnCrowd, Revised Selected Papers
出版社Springer Verlag
ページ403-412
ページ数10
ISBN(印刷版)9783662439838
DOI
出版ステータスPublished - 2014
外部発表はい
イベント19th International Conference on Database Systems for Advanced Applications, DASFAA 2014 - Bali, Indonesia
継続期間: 2014 4 212014 4 24

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
8505 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Other

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

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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