A multimodal deep log-based user experience (UX) platform for UX evaluation

Jamil Hussain; Wajahat Ali Khan; Taeho Hur; Hafiz Syed Muhammad Bilal; Jaehun Bang; Anees Ul Hassan; Muhammad Afzal; Sungyoung Lee

doi:10.3390/s18051622

A multimodal deep log-based user experience (UX) platform for UX evaluation

Jamil Hussain, Wajahat Ali Khan, Taeho Hur, Hafiz Syed Muhammad Bilal, Jaehun Bang, Anees Ul Hassan, Muhammad Afzal, Sungyoung Lee^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

49 Citations (SciVal)

Original language	English
Article number	1622
Journal	Sensors (Switzerland)
Volume	18
Issue number	5
DOIs	https://doi.org/10.3390/s18051622
Publication status	Published (VoR) - 18 May 2018

Funding

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. 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.

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

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10.3390/s18051622

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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)",

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T1 - A multimodal deep log-based user experience (UX) platform for UX evaluation

AU - Hussain, Jamil

AU - Khan, Wajahat Ali

AU - Hur, Taeho

AU - Bilal, Hafiz Syed Muhammad

AU - Bang, Jaehun

AU - Ul Hassan, Anees

AU - Afzal, Muhammad

AU - Lee, Sungyoung

N1 - 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: © 2018 by the authors. Licensee MDPI, Basel, Switzerland.

PY - 2018/5/18

Y1 - 2018/5/18

KW - EEG

KW - Eye-tracking

KW - Facial expression

KW - Galvanic skin response

KW - Interaction tracker

KW - Mix-method approach

KW - Self-reporting

KW - User experience evaluation

KW - User experience measurement

KW - User experience platform

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JO - Sensors (Switzerland)

JF - Sensors (Switzerland)

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M1 - 1622

ER -

A multimodal deep log-based user experience (UX) platform for UX evaluation

Funding

Keywords

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