Socio-cognitive and affective computing

Social cognition focuses on how people process, store, and apply information about other people and social situations. It focuses on the role that cognitive processes play in our social interactions. On the other hand, the term cognitive computing is generally used to refer to new hardware and/or so...

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Detalles Bibliográficos
Otros Autores: Fernández-Caballero, Antonio, editor (editor)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Basel, Switzerland : MDPI - Multidisciplinary Digital Publishing Institute 2018.
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009745063706719
Tabla de Contenidos:
  • About the Special Issue Editors
  • Antonio Fernández-Caballero, Pascual González, María T. López and Elena Navarro
  • Special Issue on Socio-Cognitive and Affective Computing Reprinted from: Appl. Sci. 2018, 8, 1371, doi: 10.3390/app8081371
  • Agnieszka Landowska Towards New Mappings between Emotion Representation Models Reprinted from: Appl. Sci. 2018, 8, 274, doi: 10.3390/app8020274
  • Ricardo Rosales, Manuel Castañón-Puga, Felipe Lara-Rosano, Richard Evans, Nora Osuna-Millan and Maria Virginia Flores-Ortiz Modelling the Interruption on HCI Using BDI Agents with the Fuzzy Perceptions Approach: An Interactive Museum Case Study in Mexico Reprinted from: Appl. Sci. 2017, 7, 832, doi: 10.3390/app7080832
  • Euijung Yang and Michael C. Dorneich Evaluating Human-Automation Etiquette Strategies to Mitigate User Frustration and Learning in Affect-Aware Tutoring Improve Reprinted from: Appl. Sci. 2018, 8, 895, doi: 10.3390/app8060895
  • Mohamed Z. Ramadan, Mohammed H. Alhaag and Mustufa Haider Abidi Effects of Viewing Displays from Different Distances on Human Visual System Reprinted from: Appl. Sci. 2017, 7, 1153, doi: 10.3390/app7111153
  • Roberto Zangróniz, Arturo Martínez-Rodrigo, José Manuel Pastor, María T. López and Antonio Fernández-Caballero Estimation of Mental Distress from Photoplethysmography Reprinted from: Appl. Sci. 2018, 8, 69, doi: 10.3390/app8010069
  • Michal R. Wrobel Applicability of Emotion Recognition and Induction Methods to Study the Behavior of Programmers Reprinted from: Appl. Sci. 2018, 8, 323, doi: 10.3390/app8030323
  • Nuno Rodrigues and António Pereira A User-Centred Well-Being Home for the Elderly Reprinted from: Appl. Sci. 2018, 8, 850, doi: 10.3390/app8060850
  • Ranjan Kumar Behera, Santanu Kumar Rath, Sanjay Misra, Robertas Damaševicius and Rytis Maskeliunas Large Scale Community Detection Using a Small World Model Reprinted from: Appl. Sci. 2017, 7, 1173, doi: 10.3390/app7111173
  • Fengcai Qiao, Xin Zhang, Pei Li, Zhaoyun Ding, Shanshan Jia and Hui Wang A Parallel Approach for Frequent Subgraph Mining in a Single Large Graph Using Spark Reprinted from: Appl. Sci. 2018, 8, 230, doi: 10.3390/app8020230
  • Aitor Almeida and Gorka Azkune Predicting Human Behaviour with Recurrent Neural Networks Reprinted from: Appl. Sci. 2018, 8, 305, doi: 10.3390/app8020305
  • Pengzhan Chen, Xiaoyan Zhang, Xiaoyue Chen and Mengchao Liu Path Planning Strategy for Vehicle Navigation Based on User Habits Reprinted from: Appl. Sci. 2018, 8, 407, doi: 10.3390/app8030407
  • Muhammad Fahim Uddin, Jeongkyu Lee, Syed Rizvi and Samir Hamada Proposing Enhanced Feature Engineering and a Selection Model for Machine Learning Processes Reprinted from: Appl. Sci. 2018, 8, 646, doi: 10.3390/app8040646
  • Wenjun Bai, Changqin Quan and Zhi-Wei Luo Uncertainty Flow Facilitates Zero-Shot Multi-Label Learning in Affective Facial Analysis Reprinted from: Appl. Sci. 2018, 8, 300, doi: 10.3390/app8020300.