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International Journal of Human-Computer Studies, Volume 102

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Volume 102, June 2017

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Jorge Gonçalves, Simo Hosio, Maja Vukovic, Shin'ichi Konomi:
Mobile and situated crowdsourcing. 1-3
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  - journals/ijmms/MicholiaKKAMQ17
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Panagiota Micholia, Merkourios Karaliopoulos, Iordanis Koutsopoulos, Luca Maria Aiello, Gianmarco De Francisci Morales, Daniele Quercia:
Incentivizing social media users for mobile crowdsourcing. 4-13
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  - journals/ijmms/GuoCYNXZZ17
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Bin Guo, Huihui Chen, Zhiwen Yu, Wenqian Nan, Xing Xie, Daqing Zhang, Xingshe Zhou:
TaskMe: Toward a dynamic and quality-enhanced incentive mechanism for mobile crowd sensing. 14-26
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  - journals/ijmms/HuangWX017
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Yun Huang, Corey White, Huichuan Xia, Yang Wang:
A computational cognitive modeling approach to understand and design mobile crowdsourcing for campus safety reporting. 27-40
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  - journals/ijmms/SasaoKKKG17
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Tomoyo Sasao, Shin'ichi Konomi, Vassilis Kostakos, Keisuke Kuribayashi, Jorge Gonçalves:
Community Reminder: Participatory contextual reminder environments for local communities. 41-53
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  - journals/ijmms/NiforatosVL17
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Evangelos Niforatos, Athanasios Vourvopoulos, Marc Langheinrich:
Understanding the potential of human-machine crowdsourcing for weather data. 54-68
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Yun Huang, Alain Shema, Huichuan Xia:
A proposed genome of mobile and situated crowdsourcing and its design implications for encouraging contributions. 69-80
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Yung-Ju Chang, Gaurav Paruthi, Hsin-Ying Wu, Hsin-Yu Lin, Mark W. Newman:
An investigation of using mobile and situated crowdsourcing to collect annotated travel activity data in real-word settings. 81-102
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  - journals/ijmms/0005KRDP17
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Thomas Ludwig, Christoph Kotthaus, Christian Reuter, Sören van Dongen, Volkmar Pipek:
Situated crowdsourcing during disasters: Managing the tasks of spontaneous volunteers through public displays. 103-121

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