Mohamed Chetouani

TL;DR: The INTERSPEECH 2013 Computational Paralinguistics Challenge provides for the first time a unified test-bed for Social Signals such as laughter in speech and introduces conflict in group discussions as a new task and deals with autism and its manifestations in speech.

TL;DR: The current questions asked by synchrony evaluation and the state-of-the-art related methods are emphasized and the noncomputational and computational approaches of annotating, evaluating, and modeling interactional synchrony are reviewed.

TL;DR: This paper proposes an integrative approach combining clinical observation and engineering techniques to improve the quality of synchrony analysis and proposes defining synchrony as a dynamic and reciprocal adaptation of the temporal structure of behaviors and shared affect between interactive partners.

TL;DR: Based on their importance for both early development and for building autonomous robots that have humanlike abilities, imitation, joint attention and interactive engagement are key issues in the development of assistive robotics for autism and must be the focus of further research.

TL;DR: How the SPENCER project advances the fields of detection and tracking of individuals and groups, recognition of human social relations and activities, normative human behavior learning, socially-aware task and motion planning, learning socially annotated maps, and conducting empirical experiments to assess socio-psychological effects of normative robot behaviors is described.