TY - GEN
T1 - Towards mobile sensor-aware crowdsourcing
T2 - 19th International Conference on Database Systems for Advanced Applications, DASFAA 2014
AU - He, Jiyin
AU - Kunze, Kai
AU - Lofi, Christoph
AU - Madria, Sanjay K.
AU - Sigg, Stephan
N1 - Copyright:
Copyright 2016 Elsevier B.V., All rights reserved.
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
KW - Location-aware crowdsourcing
KW - Mobile platforms
KW - Sensor-enabled crowdsourcing
UR - http://www.scopus.com/inward/record.url?scp=84958541227&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84958541227&partnerID=8YFLogxK
U2 - 10.1007/978-3-662-43984-5_31
DO - 10.1007/978-3-662-43984-5_31
M3 - Conference contribution
AN - SCOPUS:84958541227
SN - 9783662439838
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 403
EP - 412
BT - Database Systems for Advanced Applications - 19th International Conference, DASFAA 2014, International Workshops
PB - Springer Verlag
Y2 - 21 April 2014 through 24 April 2014
ER -