Cognitive processes, such as inference, categorization, and memory, are not independent from their physical instantiations. Individuals’ choices, perception, and actions emerge and are dynamically affected and enhanced by the interaction between sensory-motor systems and the inhabited environment that includes the organizational, cultural, and physical context). This interplay brings up instantiations of cognitive behavioural systems. The above considerations led to the idea to dedicate a special issue of Cognitive Computation to this topic, with the aims to initiate a discussion on what has been achieved to-date and look at future perspectives. The volume originated in the European Science Foundation (ESF) Research Network COST Action 2102: Cross Modal Analysis of Verbal and Nonverbal Communication (www.cost.esf.org/domains_actions/ict/Actions/2102) funded by the European Cooperation in Science and Technology (COST, www.cost.esf.org). COST is an European instrument funded by the ESF supporting cooperation among scientists and researchers across Europe, allowing the coordination of nationally-funded research on a European level, increasing the mobility of Early Stage Researchers and fostering the establishment of scientific excellence in nine key domains, including Information Communication Technology (ICT)—of which COST Action 2102 is part of. The main objective of COST 2102 was to develop an advanced acoustical, perceptual and psychological analysis of verbal and nonverbal communication signals originating in spontaneous body-to-body interaction, in order to identify algorithms and automatic procedures capable of automatically perceiving and distinguishing human emotional states. Researchers involved in COST 2102 are convinced emotions drive our daily life and that research in HumanMachine Interaction cannot continue to neglect this aspect of human behaviour in developing future communication systems. Several key aspects were considered, such as the integration of the developed algorithms and procedures for application in telecommunications, and for the recognition of emotional states, gestures, speech and facial expressions—in anticipation of the implementation of intelligent avatars and interactive dialogue systems that could be exploited to improve user access to future telecommunication services. The Action profited from two former COST Actions (COST 277 and COST 278) that identified new appropriate mathematical models and algorithms to drive the implementation of the next generation of telecommunication services such as remote health monitoring systems, interactive dialogue systems, and intelligent avatars. A. Esposito (&) Department of Psychology and IIASS, Second University of Naples, Naples, Italy e-mail: iiass.annaesp@tin.it
Read full abstract