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ویرایش:
نویسندگان: Sachi Nandan Mohanty
سری:
ISBN (شابک) : 9783030488482
ناشر: Springer
سال نشر: 2020
تعداد صفحات: 222
[226]
زبان: English
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود)
حجم فایل: 5 Mb
در صورت تبدیل فایل کتاب Emotion and Information Processing: A Practical Approach به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب پردازش احساسات و اطلاعات: رویکردی عملی نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
این کتاب مشتمل بر سیزده فصل است که بسیاری از حقایق مانند مداخله روانی-اجتماعی بر اختلالات هیجانی در افراد، تأثیر هیجان و شناخت بر تئوری ترکیبی، نظریه و دلالت پردازش اطلاعات، تأثیرات عزت نفس عاطفی در زنان، بعد عاطفی زنان در محیط کار را در بر می گیرد. تأثیر تفکر ذهنی در گروههای سنی مختلف صرف نظر از جنسیت، هیجانهای منفی و تأثیر آن بر پردازش اطلاعات، نقش هیجانها در آموزش و در نهایت تحلیل عاطفی در حوزه چند دیدگاه با اتخاذ رویکرد یادگیری ماشینی. اکثر فصول دارای مطالعات تجربی هستند و هر آزمایش دارای ساختارهای مختلف و همچنین نمونه های متفاوت برای هر مجموعه داده است. اکثر مطالعات پردازش اطلاعات را در حالتهای خلقی تغییریافته، مانند افسردگی، اضطراب، یا حالات هیجانی مثبت، با وظایف توانایی ذهنی که علاوه بر آزمایشهای طراحی شبه تجربی انجام میشوند، اندازهگیری میکنند.
This book consists of thirteen chapters covering many facts like psycho-social intervention on emotional disorders in individuals, impact of emotion and cognition on blended theory, theory and implication of information processing, effects of emotional self esteem in women, emotional dimension of women in workplace, effects of mental thinking in different age groups irrespective of the gender, negative emotions and its effect on information processing, role of emotions in education and lastly emotional analysis in multi perspective domain adopting machine learning approach. Most of the chapters having experimental studies, with each experiment having different constructs as well as different samples for each data collection. Most of the studies measure information processing within altered mood states, such as depression, anxiety, or positive emotional states, with mental ability tasks being conducted in addition to the experiments of quasi-experimental design.
Preface Acknowledgements Contents About the Author Contributors Chapter 1: Effect of Emotion in Information Processing for Decision-Making 1.1 Five Steps in Decision-Making 1.2 Good or Bad Decision? 1.3 Act of Thinking in Decision-Making 1.4 Emotion in Decision-Making 1.5 Emotion Mediating the Information Process During the Decision-Making 1.6 Conclusion References Chapter 2: Impact of Psychosocial Intervention on Emotional Disorders and Medication Adherence in HIV/AIDS 2.1 Introduction 2.2 Method 2.2.1 Design 2.2.2 Ethical Concern 2.2.3 Procedure 2.2.4 Measures 2.2.5 Statistical Analysis 2.3 Result 2.3.1 Clinical Descriptions 2.3.1.1 Case 1 2.3.1.2 Case 2 2.3.1.3 Cases 3 and 4 2.3.1.4 Case 5 2.3.1.5 Case 6 2.4 Discussion 2.4.1 Limitation and Future Direction 2.4.2 Implication and Contribution References Chapter 3: Blended Learning and Its Impact on Cognition and Emotion 3.1 Introduction 3.1.1 Blended Learning 3.1.2 Learning Platforms 3.1.3 Blended Learning types 3.1.4 Advantages of Blended Learning 3.1.5 Blended Learning in the Workplace 3.1.6 Reasons Why Blended Learning Is Effective 3.1.7 Power of Audio-Visual Medium 3.1.8 AI a Game Changer 3.2 Emotional States and Learning Outcomes 3.2.1 Is There Any Cognitive and Emotional Link Connecting These Two to Online Learning? 3.2.2 Retrieval 3.2.3 Spaced Retrieval 3.2.4 Heightened Attention Level 3.2.5 Challenge References Chapter 4: Theory and Implications of Information Processing 4.1 Introduction 4.2 The Emergence of Information Processing 4.3 Theories of Information Processing 4.3.1 Levels of Processing 4.3.2 Dual Coding Theory 4.3.3 Schema Theory, Parallel Distributed Processing, and Connectionist Models 4.4 Types of Information Processing 4.4.1 Natural Information Processing System 4.5 Technical Information Processing System 4.5.1 Stages of Information Processing Cycle 4.6 Memory 4.6.1 The Stage Model 4.6.2 Sensory Memory 4.6.3 Short-Term or Working Memory 4.7 Computer–Mind Analogy (Fig. 4.3) 4.7.1 How Does Psychology Relate to Information Processing? 4.7.2 Metacognition 4.8 Implications and Applications of Information Processing 4.9 Summary References Chapter 5: Effect on the Emotional Self-Esteem of Women with Reference to Make-Up 5.1 Introduction 5.2 Objectives of the Study 5.3 Literature Review 5.4 Conceptual Framework 5.5 Hypothesis 5.6 Methodology 5.7 Data Analysis 5.7.1 Finding out the Response Rate (Table 5.1) 5.7.2 Finding out Descriptive Statistics 5.7.2.1 Frequencies (Table 5.2) 5.7.3 Reliability 5.7.4 Using Mean and Standard Deviation 5.7.5 Hypothesis 1 5.7.6 Using Correlation and Regression Analysis 5.7.7 Using Regression to Prove Hypothesis 5.7.8 Hypothesis 2 5.7.9 Using Correlation and Regression Analysis 5.7.10 Using Regression to Prove Hypothesis 5.7.11 Hypothesis 3 5.7.12 Using Correlation Analysis 5.7.13 Using Regression to Prove Hypothesis 5.7.14 Hypothesis 4 5.7.15 Using Correlation and Regression Analysis 5.7.16 Using Regression to Prove Hypothesis 5.8 Findings 5.9 Conclusion 5.10 Limitations 5.11 Recommendations References Chapter 6: Behavioral and Emotional Dimensions of Sexual Harassment at Workplace 6.1 Introduction 6.1.1 Start of the MeToo Movement 6.2 Review of Literature 6.3 Objectives 6.4 Research Methodology 6.5 Hypothesis Testing and Analysis 6.6 Conclusion Annexure References Chapter 7: The Effect of Age, Gender, and Arousal Level on Categorizing Human Affective States 7.1 Introduction 7.2 Application Domain of Speech Emotion Characterization 7.2.1 Tutoring System 7.2.2 Lie Detection 7.2.3 Banking 7.2.4 Recruitments 7.2.5 Security 7.2.6 In-Car Board System 7.2.7 Prosody in Dialog System 7.2.8 Emotion Recognition in Call Center 7.2.9 Voice Mail 7.2.10 Computer Games/Web Movies 7.2.11 Diagnostic Tool by Speech Therapists 7.2.12 Robots 7.3 Feature Extraction 7.3.1 Spectrum Variance 7.3.2 Cepstrum Magnitude 7.3.3 Autocorrelation Coefficients (ACF) 7.3.4 Pitch or Fundamental Frequency (F0) 7.3.5 Speech Rate 7.3.6 Zero-Crossing Rate (ZCR) 7.3.7 Log Energy 7.3.8 Spectral Centroid (SC) 7.3.9 Spectral Flux (SF) 7.3.10 Spectral Roll-Off (SR) 7.3.11 Skewness 7.3.12 Kurtosis 7.3.13 Shannon Entropy 7.3.14 Features of the Vocal Tract Model 7.3.14.1 Mel-Frequency Cepstral Coefficient (MFCC) 7.3.14.2 Linear Predictor Cepstral Coefficient (LPCC) 7.3.14.3 Perceptual Linear Predictor (PLP) Coefficient 7.3.14.4 Formants 7.4 Results and Discussion 7.5 Conclusions References Chapter 8: Embarrassment in the Context of Negative Emotions and Its Effects on Information Processing 8.1 Introduction 8.2 Embarrassment and Embarrassability 8.3 Embarrassment and Related Emotions 8.4 Embarrassment: Antecedents and Consequences 8.4.1 Antecedents 8.4.1.1 Biological 8.4.1.2 Psychological 8.4.1.3 Social 8.4.2 Outcomes 8.4.2.1 Biological 8.4.2.2 Psychological 8.4.2.3 Social 8.5 Gender Differences in Experiencing Embarrassment 8.5.1 Gender Roles 8.5.2 Stereotypical Behaviours 8.5.3 Age 8.5.4 Self-Report 8.5.5 Situational Context 8.5.6 Interpersonal Context 8.6 Experiencing Embarrassment Versus Experiencing Related Negative Emotions: Distinction Based on Gender Differences 8.6.1 Is Embarrassment as Simple an Emotion as It Is Considered to Be? 8.7 Embarrassment and Information Processing 8.8 Placing Individuals on the Embarrassment Continuum 8.8.1 Personal Factors of an Individual 8.8.2 Nature of the Situation 8.8.3 Social Support 8.9 Limitations 8.10 Implications and Future Scope 8.11 Conclusion References Chapter 9: Student’s Emotion: The Power of Emotion Education in School 9.1 Introduction 9.2 Role of Education in Children’s Emotional Development 9.3 Emotional Attachment, Cognition, and Behavior 9.4 Emotional Coaching Strategy for Promoting Sustainable Emotional and Behavioral Well-Being 9.5 Teacher–Student Attachment and Emotional Development 9.6 Emotional Competence, Emotional Intelligence, and Emotional Literacy 9.7 Emotion and Attitude Development 9.8 Social-Emotional Development and Cooperative Learning 9.9 Emotional Labor and Education 9.10 Conclusion References Chapter 10: Emotional Level Classification and Prediction of Tweets in Twitter 10.1 Introduction 10.2 Related Works 10.3 System Architecture 10.4 Data Collection 10.5 Data Preprocessing 10.6 Feature Extraction 10.6.1 Unigram 10.6.2 Unigram with POS Tagging 10.6.3 Bab of Words (BOW) 10.7 Proposed Classifier 10.7.1 Disadvantage of Existing Model 10.7.2 Proposed Model 10.8 Result and Analysis 10.9 Conclusion References Chapter 11: Remaining Useful Life as a Cognitive Tool in the Domain of Manufacturing 11.1 Introduction 11.2 Related Past Literary Works 11.2.1 Philosophy of Decision-Making with a Weight Towards Cognition 11.2.2 Maintenance-Based Monitoring 11.2.3 Modelling Techniques and Algorithm Used for RUL Estimation 11.3 Methodology and Results 11.4 Conclusion References Chapter 12: Multiple Task Human Gait Analysis and Identification: Ensemble Learning Approach 12.1 Introduction 12.2 Proposed Work 12.2.1 Dataset Description and Methodology 12.3 Algorithm 12.3.1 Extreme Learning Machine Algorithm 12.3.2 Support Vector Machines (SVM) 12.3.3 k-Nearest Neighbor (KNN) 12.3.4 Principal Component Analysis (PCA) 12.3.5 Ensemble Learning 12.4 Results and Discussions 12.5 Conclusions References Chapter 13: Employing Machine Learning for Multi-perspective Emotional Health Analysis 13.1 Introduction 13.2 Emotional Health Analysis 13.2.1 Emotion Analysis Using Text Processing 13.2.2 Emotion Analysis Using Speech Processing 13.2.3 Emotion Analysis Using Behavior Perception 13.3 Comparative Analysis of Various Perspectives 13.4 Case Studies 13.5 Conclusion and Future Work References Index