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 |
URL: | https://api.elsevier.com/content/abstract/scopus_id/85069789256 |
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) |
Appears in Collections: | Articles / Άρθρα |
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