TY - GEN
T1 - Mobile Image Search via Local Crowd
T2 - a User Study
AU - Liu, Yefeng
AU - Alexandrova, Todorka
AU - Nakajima, Tatsuo
AU - Lehdonvirta, Vili
N1 - 1st International Workshop on Cyber-Physical Systems, Networks, and Applications (CPSNA) held during 17th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA)
PY - 2011
Y1 - 2011
N2 - In this paper we present a on-field study for evaluating a crowdsourcing mobile social search application. With the help of the local crowd via social medias, this application assists foreign visitors in Japan by answering their imagebased questions at hand in a timely fashion. We ran a controlled field experiment for 6 weeks with 55 participants. We found that the mobile crowdsourcing model demonstrated a reliable performance on response speed and response quantity: half of the requests were answered within 10 minutes, 75% of requests were answered within 30 minutes, and on average every request had 4.2 answers. Especially in the afternoon, evening and night, nearly 88% requests were answered in average approximately 10 minutes, with more than 4 answers per request. In terms of participation motivation, we found the top active crowdworkers were more driven by intrinsic motivations rather than any of the extrinsic incentives (gamification incentives and social incentives) we designed.
AB - In this paper we present a on-field study for evaluating a crowdsourcing mobile social search application. With the help of the local crowd via social medias, this application assists foreign visitors in Japan by answering their imagebased questions at hand in a timely fashion. We ran a controlled field experiment for 6 weeks with 55 participants. We found that the mobile crowdsourcing model demonstrated a reliable performance on response speed and response quantity: half of the requests were answered within 10 minutes, 75% of requests were answered within 30 minutes, and on average every request had 4.2 answers. Especially in the afternoon, evening and night, nearly 88% requests were answered in average approximately 10 minutes, with more than 4 answers per request. In terms of participation motivation, we found the top active crowdworkers were more driven by intrinsic motivations rather than any of the extrinsic incentives (gamification incentives and social incentives) we designed.
U2 - 10.1109/RTCSA.2011.10
DO - 10.1109/RTCSA.2011.10
M3 - Conference article in proceedings
T3 - IEEE International Conference on Embedded and Real-Time Computing Systems and Applications
SP - 109
EP - 112
BT - 2011 IEEE 17TH INTERNATIONAL CONFERENCE ON EMBEDDED AND REAL-TIME COMPUTING SYSTEMS AND APPLICATIONS (RTCSA 2011), VOL 2
PB - IEEE
ER -