@article{55ba1513678f471197eb58cf1626ccb3,
title = "A multimodal deep log-based user experience (UX) platform for UX evaluation",
keywords = "EEG, Eye-tracking, Facial expression, Galvanic skin response, Interaction tracker, Mix-method approach, Self-reporting, User experience evaluation, User experience measurement, User experience platform",
author = "Jamil Hussain and Khan, {Wajahat Ali} and Taeho Hur and Bilal, {Hafiz Syed Muhammad} and Jaehun Bang and {Ul Hassan}, Anees and Muhammad Afzal and Sungyoung Lee",
note = "Funding Information: Funding: This research was supported by an Institute for Information & Communications Technology Promotion (IITP) grant funded by the Korean government (MSIT) (No. 2017-0-00655). This work was supported by the MSIT (Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2017-0-01629) supervised by the IITP (Institute for Information & communications Technology Promotion) and NRF-2016K1A3A7A03951968. Funding Information: This research was supported by an Institute for Information & Communications Technology Promotion (IITP) grant funded by the Korean government (MSIT) (No. 2017-0-00655). This work was supported by the MSIT (Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2017-0-01629) supervised by the IITP (Institute for Information & communications Technology Promotion) and NRF- 2016K1A3A7A03951968. Publisher Copyright: {\textcopyright} 2018 by the authors. Licensee MDPI, Basel, Switzerland.",
year = "2018",
month = may,
day = "18",
doi = "10.3390/s18051622",
language = "English",
volume = "18",
journal = "Sensors (Switzerland)",
issn = "1424-8220",
publisher = "MDPI",
number = "5",
}