Search Results - subject:"Affective Computing"

A neuro-advertising property video recommendation system

Kaklauskas, Arturas; Zavadskas, Edmundas Kazimieras; … - In: Technological forecasting & social change : an … 131 (2018), pp. 78-93

Persistent link: https://www.econbiz.de/10011959223

Emotional Design Tutoring System Based on Multimodal Affective Computing Techniques

Lin, Hao-Chiang Koong; Wang, Cheng-Hung - In: International Journal of Distance Education … 16 (2018) 1, pp. 103-117

learners an efficient technique for boosting students' learning effects and learning satisfaction. In the future, affective … computing is expected to be widely used in teaching. This can enable students to enjoy learning in a multilearning environment …

Persistent link: https://www.econbiz.de/10012044042

Emotional State Recognition Using Facial Expression, Voice, and Physiological Signal

Djara, Tahirou; Ousmane, Abdoul Matine; Vianou, Antoine - In: International Journal of Robotics Applications and … 6 (2018) 1, pp. 1-20

Emotion recognition is an important aspect of affective computing, one of whose aims is the study and development of …

Persistent link: https://www.econbiz.de/10012047243

Research on Facial Expression Recognition Technology Based on Convolutional-Neural-Network Structure

Guo, Junqi; Shan, Ke; Wu, Hao; Bie, Rongfang; You, Wenwan; … - In: International Journal of Software Innovation (IJSI) 6 (2018) 4, pp. 103-116

Human facial expressions change so subtly that recognition accuracy of most traditional approaches largely depend on feature extraction. In this article, the authors employ a deep convolutional neural network (CNN) to devise a facial expression recognition system to discover deeper feature...

Persistent link: https://www.econbiz.de/10012047828

One turn ... and now another one : do the turn to practice and the turn to affect have something in common?

Gherardi, Silvia - In: Management learning : the journal for managerial and … 48 (2017) 3, pp. 345-358

Persistent link: https://www.econbiz.de/10011773336

Design blueprint for stress-sensitive adaptive enterprise systems

Adam, Marc Thomas Philipp; Gimpel, Henner; Mädche, … - In: Business & information systems engineering : BISE ; the … 59 (2017) 4, pp. 277-291

Persistent link: https://www.econbiz.de/10011719709

Multi-Modal Affective Computing Technology Design the Interaction between Computers and Human of Intelligent Tutoring Systems

Lin, Hao-Chiang Koong; Su, Sheng-Hsiung; Wang, Cheng-Hung; … - In: International Journal of Online Pedagogy and Course … 6 (2016) 1, pp. 13-28

In this paper, the authors are using emotion recognition in two ways: facial expression recognition and emotion recognition from text. Through this dual-mode operation, not only can strength the effects of recognition, but also increase the types of emotion recognition to handle the learning...

Persistent link: https://www.econbiz.de/10012046845

A Study of the State of the Art in Synthetic Emotional Intelligence in Affective Computing

Zohora, Syeda Erfana; Khan, A. M.; Srivastava, Arvind K.; … - In: International Journal of Synthetic Emotions (IJSE) 7 (2016) 1, pp. 1-12

affective computing that has significantly advanced from the technological point of view that refers to academic studies … affective computing. The overview of the state of the art in emotional intelligence comprises of basic definitions and … ethical issues, challenges with importance on affective computing. Lastly, we present a broad area of applications such as …

Persistent link: https://www.econbiz.de/10012047554

Positive computing : a new trend in business and information systems engineering?

Pawlowski, Jan Martin; Eimler, Sabrina; Jansen, Marc; … - In: Business & information systems engineering : BISE ; the … 57 (2015) 6, pp. 405-408

Persistent link: https://www.econbiz.de/10011489987

Customer emotion detection by emotion expression analysis on adverbs

Sun, Yan; Quan, Changqin; Kang, Xin; Zhang, Zuopeng; … - In: Information technology and management 16 (2015) 4, pp. 303-311

Persistent link: https://www.econbiz.de/10011398814