Document Details

Document Type : Thesis 
Document Title :
EMOTION ANALYSIS HYBRID APPROACH TO DEFINE HUMAN FACTORS OF VIRTUAL REALITY WEARABLE DEVICES.
منهجية هجينة لتحليل العاطفة لتحديد العوامل البشرية لأَجهزة الواقع الإِفتراضي القابلة للإِرتداء.
 
Subject : Faculty of Computing and Information Technology 
Document Language : Arabic 
Abstract : Wearable devices manufacturing has been significantly grown nowadays, the performance and the quality have reached an incredible level of improvement. There is currently a global growing demand for these devices such as the head mounted displays (HMDs). Despite the fast improvement of HMDs which are the virtual reality (VR) wearables, most of those devices are being attached to the users’ body for a short time because it sometimes causes, pain, headaches or eye fatigue, which affect the user acceptability of the device. Accordingly, there is an increasing need to study human factors (HFs) which involve people and technology, in order to improve the users’ satisfaction level. Although measuring users’ emotions to define the HFs that affect the users’ acceptability toward a device considered a really challenging task, it accurately shows the users’ actual feelings about the HFs of these devices. This study proposed a novel multi-label hybrid emotion analysis and classification model (HF_EMA) using dictionary-based approach and machine learning approach, to define five human factors from users’ tweets which are wearability, usability, safety, satisfaction and aesthetics, and to analyze and classify users’ emotions regarding those factors into four emotions, happy, sad, anger and love. The experimental results proved the validity of the proposed model in detecting and classifying human factors and emotions, with an average of “ROC = 1” and an average of “accuracy = 98.2” for the five classification processes using a HF lexicon, two emotional lexicons, and the Naïve Base (NB) classifier. The results indicated that the usability factor is the most affected factor on VR wearables followed by satisfaction and then the wearability factor, it is also demonstrated that the aesthetics factor has less importance for the VR device’s users. Keywords—Ergonomics; Human Factors; Virtual Reality; Emotion Analysis; Social Media. 
Supervisor : Prof. Wadee Saleh Alhalabi 
Thesis Type : Master Thesis 
Publishing Year : 1441 AH
2020 AD 
Added Date : Thursday, March 12, 2020 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
إبتهال سيف الإسلام Makkiمكي, Ibtihal Saiful IslamResearcherMaster 

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