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MHC '18: International Workshop on Mobile Human Contributions: Opportunities and Challenges

Van Berkel, N; Hosio, S; Goncalves, J; Wac, K; Kostakos, V; Cox, A; (2018) MHC '18: International Workshop on Mobile Human Contributions: Opportunities and Challenges. In: UbiComp '18: Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers. (pp. pp. 590-593). Association for Computing Machinery (ACM): New York, NY, USA. Green open access

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Abstract

Ubicomp/HCI researchers are increasingly using smartphones to collect human-labelled data 'in the wild'. While this allows for the collection of a wide range of interesting data in authentic settings and surroundings, humans are notoriously inconsistent in the quality of their contributions. Improving the quality of data collected with mobile devices is a largely unexplored, but highly relevant field. The primary objective of this workshop is to share insights, ideas, and discoveries on the quality of mobile human contributions. The work presented in the International Workshop on Mobile Human Contributions (MHC '18) explores methods, tools, and novel approaches towards increasing the reliability of human data submissions with mobile devices.

Type: Proceedings paper
Title: MHC '18: International Workshop on Mobile Human Contributions: Opportunities and Challenges
Event: 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers (UbiComp '18)
Location: Singapore
Dates: 08 - 12 October 2018
ISBN-13: 978-1-4503-5966-5
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/3267305.3274134
Publisher version: https://doi.org/10.1145/3267305.3274134
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Human sensing; mobile devices; in situ; experience sampling; citizen science; crowdsourcing; data quality
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences > UCL Interaction Centre
URI: https://discovery.ucl.ac.uk/id/eprint/10065765
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