||An Emotional Feedback System Based on a Regulation Process Model for Happiness Improvement
||Department of Electrical Engineering
Natural Language Processing (NLP)
Support Vector Machine (SVM)
In this thesis, an integrated emotion regulation system (IERS) is proposed based on the regulation process model for happiness improvement. Including extracting the valuable information from user’s contents on social network, the IERS analyzes users’ emotion variation reflecting to the regulation process model and aim to appropriately feedback to users. The feedback sentences are chosen from regulation corpus which is positive and motivated. The proposed IERS works at the word level and the emotional topics is classified by Support vector machine (SVM) through the corpus collected from Facebook wall, whereas feedback strategy is chosen through Point-Wise Mutual Information (PMI) features extraction. The accuracy result of seven-type emotion recognition can achieve higher than 50%. The pre- and post-experiment results are evaluated by 20 participants in one week of observation, of which the result implies the proposed system can practically improve the happiness.
Table List VI
Figure List VII
Chapter 1 Introduction 1
1.1 Background 1
1.2 Motivation and Contribution 2
1.3 Related Works 4
1.4 Organization 5
Chapter 2 Basis for Emotion Regulation System 7
2.1 Social Network Research 7
2.1.1 Social Network Data Mining 8
2.1.2 Psychology research on Facebook 8
2.2 Computer-Aided Behavior Changing 9
2.2.1 Emotion control research 9
2.2.2 Persuasive Technology 9
2.3 Emotion Regulation Theory 10
2.3.1 Different kinds of psychology strategy comparison 11
2.3.2 Emotion regulation theory 12
Chapter 3 Integrated Emotion Regulation System (IERS) 15
3.1 Architecture Overview 15
3.2 Pre-processing 16
3.3 Point-Wise Mutual Information (PMI) 18
3.4 Support Vector Machines (SVM) 20
3.5 Emotion Regulation Process Model 21
3.5.1 Emotion category selection 21
3.5.2 Traits of user habits for regulation parameters 23
22.214.171.124 Active or passive 23
126.96.36.199 Friend interaction habits 24
188.8.131.52 Emotion processing status 25
3.5.3 Emotion regulation strategy and algorithm 25
3.6 IERS system construction 30
Chapter 4 Experiments and Results 33
4.1 Experiment Tool and Settings 33
4.2 Corpus 33
4.3 Evaluation Method and Environment 37
4.4 Experiment Results 38
4.4.1 Emotion recognition 38
4.4.2 Emotion regulation evaluation 40
Chapter 5 Conclusions and Future Works 45
5.1 Conclusions 45
5.2 Limitations and Future Works 45
Appendix-A Satisfaction with Life Scale (SWLS) 52
Appendix-B The Positive and Negative Affect Schedule (PANAS) Questionnaire 53
Appendix-C Emotion Regulation Questionnaire (ERQ) 55
Appendix-D Subjective Happiness Scale (SHS) 57
Appendix-E Mean Opinion Score (MOS) 59
Appendix-F Emotion Regulation Feedback Example 60
F.1 Sentence 60
F.2 Question 60
F.3 Action 61
F.3.1 Responsibility Transfer 61
F.3.2 Rewriting Reality 61
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