This Research Topic is based on the themes of the Cognitive Info Communication Conference 2020 (23th-25th September 2020, virtual). We welcome submissions from conference contributors and interested researchers alike, both in form of extended versions presented to the conference or original works.

The themes of this Research Topic are multidisciplinary in nature, and closely connected in their final aims of identifying features of Cognitive Info Communications. Such features characterize formal and informal social signals, communication modes, hearing and vision processes, and brain functionalities and corresponding computational efforts to automatically detect and interpret their semantic and pragmatic contents. Related applications of these interdisciplinary facets are Information Communication Technologies able to detect cognitive and affective states of their users, interpret their psychological and behavioral patterns support them through positively designed interventions and build knowledge and practical ability to render the world interpretable while interacting with their users attuned to behavioral sequences that underpin collaboration.

Relevant topics thus include but are not limited to:
• Applications for mental health and wellbeing
• Detection of affective wellbeing and emotional states
• Detection of health and psychological states from multimodal signals
• Social networks for information spread and share
• Computational architectures for cognitive Info Communications
• Supervised and unsupervised learning algorithms for cognitive and affective systems
• Human and/or machine encoding and decoding of behavioral patterns
• Analysis and detection of disordered daily functional and cognitive activities
• Cross-cultural processing of social signals
• Linguistic and social interactional exchanges
• Social Robotics: analysis and applications
• Human behavior: analysis and understanding
• Sentiment analysis
• Cognitive Economy
• Influence of context on perception, memory and decision making
• Cognitive systems for multimodal signal analysis
• Nonlinear processing of audio-video social signals
• Multimodal social signal processing

Note:
All article types are accepted, and Frontiers requires 30% new content for extended papers from Conference proceedings – please see the Authors Guidelines.
Submission is possible to all the “Participating Journals” present in the list on this web page.
In case of any questions, we encourage authors to contact the Editorial Office computerscience@frontiersin.org.

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