Feelings' Rating and Detection of Similar Locations, Based on Volunteered Crowdsensing and Crowdsourcing
Authors: Ntalianis, Klimis 
Otterbacher, Janna 
Kener, Andreas 
Publisher: IEEE
Issue Date: 5-Jul-2019
Journal: IEEE Access 
Volume: 7
Keywords: Correlation maximization, Crowdsensing, Crowdsourcing, Feelings'/states' evaluation, Genetic algorithm, Geographical location, Rating scheme, Volunteered Geographic Information (VGI)
Abstract: 
In this paper, an innovative geographical locations' rating scheme is presented, which is based on crowdsensing and crowdsourcing. People sense their surrounding space and submit evaluations through: (a) a smartphone application, and (b) a prototype website. Both have been implemented using the state-of-the-art technologies. Evaluations are pairs of feeling/state and strength, where six different ...
ISSN: 2169-3536
DOI: 10.1109/ACCESS.2019.2926812
URI: https://uniwacris.uniwa.gr/handle/3000/2796
Type: Article
Department: Department of Business Administration 
School: School of Administrative, Economics and Social Sciences 
Affiliation: University of West Attica (UNIWA) 
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