Real-time Perception of Non-verbal Human Feedback in a Gaming Scenario

Abstract

Social interactive robots require sophisticated perception and cognition abilities to behave and interact in a natural human-like way. The precise perception of behaviour of an interaction partner plays a crucial role in social robotics. Human feedback is one of the most important behavioural cues of human during conversation. Feedback is a signal that human sends to the interlocutor, consciously or unconsciously, that can convey four communicative functions. These functions: continuation, perception, understanding, and acceptance of the message, activate or inhibits different behaviours of human. Past systems focused mainly on the scripted scenarios irrespective of interaction partners feedback behaviour. This paper proposes a system for perception and interpretation of the interaction partner feedback from non-verbal cues. The proposed work has been tested in a 20 question gaming scenario in real time and it has shown promising results.

Contributors

Salah Al-Darraji: http://rrlab.cs.uni-kl.de

Zafar Zuhair: http://rrlab.cs.uni-kl.de

Karsten Berns: http://rrlab.cs.uni-kl.de

Conference

Publication date: July 2016

Publication date (Print): July 2016

Pages: 1-10

Affiliations

Robotics Research Lab.

Department of Computer Science

University of Kaiserslautern

Gottlieb-Daimler-Str. 48 67663 Kaiserslautern, Germany

Article

DOI: 10.14236/ewic/HCI2016.27

Copyright statement: © Al-Darraji et al. Published by BCS Learning & Development. Proceedings of British HCI 2016 - Fusion, Bournemouth, UK

License:

This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Conference name: Proceedings of the 30th International BCS Human Computer Interaction Conference

Conference acronym: HCI

Conference number: 30

Conference location: Bournemouth University, Poole, UK

Conference date: 11 - 15 July 2016

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: Fusion

Product

Product Information: 1477-9358BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/HCI2016.27

Self URI (journal page): https://ewic.bcs.org/

Categories

Series title: Electronic Workshops in Computing