LEADER 05693nam 22007335 450 001 9910734829703321 005 20240619101324.0 010 $a3-031-32542-7 024 7 $a10.1007/978-3-031-32542-7 035 $a(CKB)27240610800041 035 $a(MiAaPQ)EBC30609706 035 $a(Au-PeEL)EBL30609706 035 $a(DE-He213)978-3-031-32542-7 035 $a(PPN)27227304X 035 $a(EXLCZ)9927240610800041 100 $a20230626d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMultimodal Affective Computing $eTechnologies and Applications in Learning Environments /$fby Ramón Zatarain Cabada, Héctor Manuel Cárdenas López, Hugo Jair Escalante 205 $a1st ed. 2023. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2023. 215 $a1 online resource (211 pages) 311 $a9783031325410 327 $aPart I: Fundamentals -- Chapter 1. Affective Computing -- Chapter 2. Machine learning and pattern recognition in affective computing -- Chapter 3. Affective Learning Environments -- Part II: Sentiment Analysis for Learning Environments -- Chapter 4. Building resources for sentiment detection -- Chapter 5. Methods for data representation -- Chapter 6. Designing and testing the classification models -- Chapter 7. Model integration to a learning system -- Part III: Multimodal Recognition of Learning-Oriented Emotions -- Chapter 8. Building Resources for Emotion Detection -- Chapter 9. Methods for Data Representation -- Chapter 10. Multimodal recognition systems -- Chapter 11. Multimodal emotion recognition in learning environments -- Part IV: Automatic Personality Recognition -- Chapter 12. Building resources for personality recognition -- Chapter 13. Methods for data representation -- Chapter 14. Personality recognition models -- Chapter 15. Multimodal personality recognition for affective computing. 330 $aThis book explores AI methodologies for the implementation of affective states in intelligent learning environments. Divided into four parts, Multimodal Affective Computing: Technologies and Applications in Learning Environments begins with an overview of Affective Computing and Intelligent Learning Environments, from their fundamentals and essential theoretical support up to their fusion and some successful practical applications. The basic concepts of Affective Computing, Machine Learning, and Pattern Recognition in Affective Computing, and Affective Learning Environments are presented in a comprehensive and easy-to-read manner. In the second part, a review on the emerging field of Sentiment Analysis for Learning Environments is introduced, including a systematic descriptive tour through topics such as building resources for sentiment detection, methods for data representation, designing and testing the classification models, and model integration into a learning system. The methodologies corresponding to Multimodal Recognition of Learning-Oriented Emotions are presented in the third part of the book, where topics such as building resources for emotion detection, methods for data representation, multimodal recognition systems, and multimodal emotion recognition in learning environments are presented. The fourth and last part of the book is devoted to a wide application field of the combination of methodologies, such as Automatic Personality Recognition, dealing with issues such as building resources for personality recognition, methods for data representation, personality recognition models, and multimodal personality recognition for affective computing. This book can be very useful not only for beginners who are interested in affective computing and intelligent learning environments, but also for advanced and experts in the practice and developments of the field. It complies an end-to-end treatment on these subjects, especially with educational applications, making it easy for researchers and students to get on track with fundamentals, established methodologies, conventional evaluation protocols, and the latest progress on these subjects. 606 $aMachine learning 606 $aLearning, Psychology of 606 $aPattern recognition systems 606 $aUser interfaces (Computer systems) 606 $aHuman-computer interaction 606 $aMachine Learning 606 $aLearning Theory 606 $aAutomated Pattern Recognition 606 $aUser Interfaces and Human Computer Interaction 606 $aAprenentatge automàtic$2thub 606 $aInteracció persona-ordinador$2thub 606 $aInterfícies d'usuari (Sistemes d'ordinadors)$2thub 608 $aLlibres electrònics$2thub 615 0$aMachine learning. 615 0$aLearning, Psychology of. 615 0$aPattern recognition systems. 615 0$aUser interfaces (Computer systems). 615 0$aHuman-computer interaction. 615 14$aMachine Learning. 615 24$aLearning Theory. 615 24$aAutomated Pattern Recognition. 615 24$aUser Interfaces and Human Computer Interaction. 615 7$aAprenentatge automàtic 615 7$aInteracció persona-ordinador 615 7$aInterfícies d'usuari (Sistemes d'ordinadors) 676 $a371.334 700 $aCabada$b Ramón Zatarain$01373320 701 $aLópez$b Héctor Manuel Cárdenas$01373321 701 $aEscalante$b Hugo Jair$01373322 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910734829703321 996 $aMultimodal Affective Computing$93404429 997 $aUNINA