Visualization for Emotion Detection in Mobile-Based Land Monitoring Using User-Centred Design
Dublin Core
Title
Visualization for Emotion Detection in Mobile-Based Land Monitoring Using User-Centred Design
Subject
User-centred design; User experience; mobile; emotion detection; visualization; Styles
Description
Many colleges employ online learning as media learning where each piece of multimedia, be it sound, film, or text, can receive feedback from students. The lecture wants to know about the emotions that students experienced when they accessed the media, such as happiness, disappointment, or unhappiness, and instructors want to know how joyful they felt. This study built a tool cell for online media to use in identifying emotions in column comments. This paper focuses on user experience (UX) design, which is based on the Human-Centred Design method that prioritizes empathy for users and focuses on user demands to meet the discovery of user wants and develop high-fidelity prototypes. The results of the testing show that the average accuracy is 1.68%, the average recall is 1.55, the average precision is 1.45, and the average accuracy for the use of this phone website is 80% for emotion recognition based only on a column of comment in the internet media.
Creator
A. Helen Victoria
P. Supraja
V. M. Gayathri
Mohamad Sukeri Khalid
Nor Hissam B. Sulaiman
Source
International Journal of Interactive Mobile Technologies (iJIM); Vol. 17 No. 04 (2023); pp. 21-36
1865-7923
Publisher
International Association of Online Engineering (IAOE), Vienna, Austria
Date
2023-02-23
Rights
Copyright (c) 2023 Dr. A. Helen Victoria, Dr. P. Supraja, Dr. V. M. Gayathri, Unggul Priyadi, Muhammad Alkirom Wildan
https://creativecommons.org/licenses/by/4.0
Relation
Format
application/pdf
Language
eng
Type
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
Identifier
Citation
A. Helen Victoria et al., Visualization for Emotion Detection in Mobile-Based Land Monitoring Using User-Centred Design, International Association of Online Engineering (IAOE), Vienna, Austria, 2023, accessed November 21, 2024, https://igi.indrastra.com/items/show/2510