Social behaviour understanding using deep neural networks: development of social intelligence systems

Lim Ding Feng, E., Neo, Z.-W., William De Silva, A., Sim, K., Tan, H.-R., Nguyen, T.-T., Koh, K. W. L., Wang, W. and Nguyen, H. D. (2020) Social behaviour understanding using deep neural networks: development of social intelligence systems. In: Meiselwitz, G. (ed.) Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis: 12th International Conference, SCSM 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020, Proceedings. Series: Lecture notes in computer science, 1 (12194). Springer: Cham, pp. 600-613. ISBN 9783030495695 (doi: 10.1007/978-3-030-49570-1_42)

Full text not currently available from Enlighten.

Abstract

With the rapid development in artificial intelligence, social computing has evolved beyond social informatics toward the birth of social intelligence systems. This paper, therefore, takes initiatives to propose a social behaviour understanding framework with the use of deep neural networks for social and behavioural analysis. The integration of information fusion, person and object detection, social signal understanding, behaviour understanding, and context understanding plays a harmonious role to elicit social behaviours. Three systems, including depression detection, activity recognition and cognitive impairment screening, are developed to evidently demonstrate the importance of social intelligence. The study considerably contributes to the cumulative development of social computing and health informatics. It also provides a number of implications for academic bodies, healthcare practitioners, and developers of socially intelligent agents.

Item Type:Book Sections
Status:Published
Glasgow Author(s) Enlighten ID:Nguyen, Dr Hoang D.
Authors: Lim Ding Feng, E., Neo, Z.-W., William De Silva, A., Sim, K., Tan, H.-R., Nguyen, T.-T., Koh, K. W. L., Wang, W., and Nguyen, H. D.
College/School:College of Science and Engineering > School of Computing Science
Publisher:Springer
ISBN:9783030495695
Published Online:10 July 2020

University Staff: Request a correction | Enlighten Editors: Update this record