VisCrowd
Workshop Visualization & HCI for Crowd-Sourcing
25th June Clermont Ferrand
With the support of :
GDR CNRS IG-RV (Informatique Géométrique et Graphique, Réalité Virtuelle et Visualisation)
with
AND
GDR CNRS MAGIS (Méthodes et Applications pour la Géomatique et l'Information Spatiale)
with
Action Prospective VGI et Crowdsourcing
This day aims to bring together the actors, academics and industrialists of the French community in visualization and HCI, to discuss
and with the support of the ANR project VGI4bio
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INSCRIPTION GRATUITE MAIS OBLIGATOIRE
DEADLINE 31 MAI 2019 envoyer un mail à sandro.bimonte@irstea.fr
Description
The term crowdsourcing was first introduced in 2006 to describe a new marketplace whereby anyone having Internet access (also known as the crowd) could contribute to the completion of a task for free or in exchange for a monetary reward.
Over the years, crowdsourcing became a well-accepted marketplace for recruiting large groups of participants for empirical research in diverse disciplines.
This led to the era of crowd science and the definition of passive versus active crowdsourcing. Crowsourcing data is most common task: data can be provided via several different sources such as social networks, open data, volunteers’ activities, etc. However, volunteers also participate in completion of other tasks, such as testing applications, comments on products, etc. Crowdsourcing activities can be handled in individual processes but also using collaborative systems (ex: group decision systems, Web 2.0 systems, etc.). Visualization in crowdsourcing systems raises several issues since it must take into account taking into account the particularities of (i) data (such as data quality, privacy, …) (ii) users (credibility, unskilled IT users, …), (iii) tasks (collaboration, complexity, etc.).
This workshop will be a cross-disciplinary event allowing researchers to discuss about any issues concerning Visualization/HCI and Crowdsourcing. The main goal is to create collaborations among researchers about research topics (with oral presentations), developed systems and tools (with demo presentations), on-going and/or future projects to define some possible research topics and consortium, and finally creation/participation to academic courses.
Topics are (not exhaustive list):
- Recommendation and visualization of crowdsourced data
- Collaborative visualisation
- Visualization/HCI and Business Intelligence integration in crowdsourcing systems
- Visualization/HCI and group decision system integration in crowdsourcing systems
- Social Web Oriented HCI/Visualization
- Human centered systems
- Human-machine interface for crowdsourcing
- Privacy, confidentiality and privacy by design issues in crowdsourcing systems
- Design, Evaluation and Testing of crowdsourcing systems
- ...
Deadline : abstract proposal 30th April 2019
Chairs
Sandro Bimonte, IRSTEA, TSCF, Clermont Ferrand
Cyril de Runz, CReSTIC, Université de Reims Champagne-Ardenne
Ali HASSAN, UMANIS, Paris
Julien Tierny, Univ Sorbonne, Paris
Guillaume Touya, LASTIG, IGN