Open challenges in modelling, analysis and synthesis of human behaviour in human–human and human–machine interactions

Vinciarelli, A. et al. (2015) Open challenges in modelling, analysis and synthesis of human behaviour in human–human and human–machine interactions. Cognitive Computation, 7(4), pp. 397-413. (doi:10.1007/s12559-015-9326-z)

Full text not currently available from Enlighten.

Abstract

Modelling, analysis and synthesis of behaviour are the subject of major efforts in computing science, especially when it comes to technologies that make sense of human–human and human–machine interactions. This article outlines some of the most important issues that still need to be addressed to ensure substantial progress in the field, namely (1) development and adoption of virtuous data collection and sharing practices, (2) shift in the focus of interest from individuals to dyads and groups, (3) endowment of artificial agents with internal representations of users and context, (4) modelling of cognitive and semantic processes underlying social behaviour and (5) identification of application domains and strategies for moving from laboratory to the real-world products.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Vinciarelli, Professor Alessandro
Authors: Vinciarelli, A., Esposito, A., André, E., Bonin, F., Chetouani, M., Cohn, J. F., Cristani, M., Fuhrmann, F., Gilmartin, E., Hammal, Z., Heylen, D., Kaiser, R., Koutsombogera, M., Potamianos, A., Renals, S., Riccardi, G., and Salah, A. A.
College/School:College of Science and Engineering > School of Computing Science
Journal Name:Cognitive Computation
Publisher:Springer
ISSN:1866-9956
ISSN (Online):1866-9964
Published Online:12 April 2015

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