[visionlist] CFP: Special issue @ IEEE Transactions on Cognitive and Developmental Systems (TCDS)

Apologies for multiple postings



IEEE Transactions on Cognitive and Developmental Systems (TCDS)

Special Issue on “A sense of interaction in humans and robots: from visual perception to social cognition”


Guest Editors 

Alessandra Sciutti (alessandra.sciutti@iit.it)

Nicoletta Noceti (nicoletta.noceti@unige.it)


Important Dates

30 April 2017 – Deadline for title and abstract submission

30 June 2017 – Deadline for manuscript submission 

15 September 2017 – Notification to authors

15 October 2017- Deadline for submission of revised manuscripts 

15 November 2017 – Final decisions

Winter 2017 – Special Issue Publication in IEEE TCDS

Aim and Scope

Since early infancy, the ability of humans at interacting with each other is substantially strengthened by vision, with several visual processes tuned to support prosocial behaviour. For instance, a natural predisposition to look at human faces or to detect biological motion is present at birth. More refined abilities – as the understanding and anticipation of others’ actions and intentions- progressively develop with age, leading, in a few years, to a full capability of interaction based on mutual understanding, joint coordination and collaboration. 

A key challenge of robotics research nowadays is to provide artificial agents with similar advanced visual perception skills, with the ultimate goal of designing machines able to recognise and interpret both explicit and implicit communication cues embedded in human behaviours. These achievements pave the way for the large-scale use of Human-Robot Interaction applications on a variety of contexts, ranging from the design of personal robots, to physical, social and cognitive rehabilitation.

This special issue is aimed at gathering contributions from different research communities, including Robotics, Computer Vision, Cognitive Science, Psychology and Neuroscience, to create a comprehensive perspective on the topic of social interaction in humans and robots, with a specific reference to the role of human and machine perceptual abilities in supporting interactive skills. Contributions may focus on human visual perception for interaction on the one hand, and on the implementation of machine vision methods aimed at improving human-human or human-machine interaction on the other. This multidisciplinary effort is expected to bring innovations in fields as social robotics and human- machine interaction, but also in domains like developmental psychology and cognitive rehabilitation.


Understanding how efficient and seamless collaborations can be achieved among human partners and which are the explicit and implicit cues intuitively adopted in human cooperation would provide key insights on how to model a similar ability in the future interactive machines.

This special issue wants to address these relevant questions both from the side of the study of human perception for interaction and from the implementation perspective, considering new algorithms and modelling efforts brought forward to improve current robotics.

Topics include (but are not limited to) the following

* Computational Models of Visual Perception for Interaction 

* Perception of Intentions and Actions 

* Vision for Robotics and Artificial intelligence in Social Contexts 

* Neuroscientific bases of Interaction 

* Development of Social Cognition in Humans 

* Social Signals Recognition and Analysis 

* Human-Robot Interaction 

* Emotion Recognition for Interaction 

* Machine Learning for Visual Perception


Manuscripts should be prepared according to the “Information for Authors” of the journal found at:

http://ift.tt/2nvY5GE submissions should be made through the IEEE TCDS Manuscript center at http://ift.tt/2ocwNTH the category “SI: Human Robot Interaction”.

Prospective authors are kindly asked to contact the guest editors by sending an e-mail to alessandra.sciutti@iit.it , and nicoletta.noceti@unige.it  providing a tentative title and abstract of the contribution by 30 April, 2017.


Dr. Nicoletta NocetiDIBRIS – Dept. of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genovavia Dodecaneso 35, 16146 Genova-ITRoom 226Tel. +39 010 3536626Fax +39 010 3536699https://sites.google.com/site/nicolettanoceti/http:///www.slipguru.unige.it


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