<html><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;" class=""><b class="">CALL FOR PAPERS</b><div class=""><br class=""></div><div class="">15th IEEE International Conference on Automatic Face and Gesture Recognition </div><div class="">Special Session on <b class="">“Typical vs Atypical: Learning Rules of Social Interaction from a Multidisciplinary Perspective”</b></div><div class=""><br class=""></div><div class="">Special Session Paper Submission Deadline: <font color="#ff2600" class=""><b class="">10 January 2020 – midnight PST</b></font></div><div class=""><font color="#ff2600" class=""><br class=""></font></div><div class=""><span class="" style="caret-color: rgb(255, 38, 0);"><a href="https://fg2020.org" class="">https://fg2020.org</a></span></div><div class=""><span class="" style="caret-color: rgb(255, 38, 0);"><br class=""></span></div><div class=""><span class="" style="caret-color: rgb(255, 38, 0);">18-22 May 2020 </span></div><div class=""><span class="" style="caret-color: rgb(255, 38, 0);"><br class=""></span></div><div class=""><span class="" style="caret-color: rgb(255, 38, 0);">Buenos Aires, Argentina </span></div><div class=""><span class="" style="caret-color: rgb(255, 38, 0);"><br class=""></span></div><div class=""><span class="" style="caret-color: rgb(255, 38, 0);"><b class="">Description</b> </span></div><div class=""><span class="" style="text-align: justify; text-indent: 18pt; background-color: white;"><br class=""></span></div><div class=""><span class="" style="text-align: justify; text-indent: 18pt; background-color: white;">Humans are a social species and evolution has equipped them with a unique capacity to navigate the social world. Apart from using spoken language, nonverbal cues play an essential part in achieving successful and harmonious social interactions. Yet, only recently have most psychiatric disorders begun to be conceptualized as “disorders of social interactions”. Personality disorders, schizophrenia, anxiety, depression and even neurodevelopmental disorders like autism are strongly coupled with impairments in the perception, interpretation and/or production of nonverbal cues. Analysing the dynamics of typical and atypical social interactions is therefore a natural and well-fitting means that may help to develop and enhance automatic psychiatric diagnosis and treatment tools. However, it is a major challenge to design accessible objective computational approaches that can tackle the complexity of naturalistic interpersonal behaviour. </span></div><div class=""><span class="" style="text-align: justify; text-indent: 18pt; background-color: white;"><br class=""></span></div><div class=""><span class="" style="text-align: justify; text-indent: 18pt; background-color: white;">The key aim of this multidisciplinary special session is to unite the power of computer scientists and social psychologists to discuss cutting edge research and innovative ideas for investigating data-driven, supervision-free or explainable methods to model interpersonal dynamics in both typical and atypical individuals (i.e., psychiatric disorders). More specifically, this special session sets out to put forward opportunities and challenges for learning the rules of dyadic interactions or small group interactions from large amounts of video data or other modalities, without extensive use of manual supervision or prior assumptions, while encouraging the design of interpretable, safe and reliable techniques that can be adopted effectively in real-world clinical applications. We seek high-quality research papers on the following topics, or another topic closely relevant to the special session theme:</span></div><div class=""><ul class=""><li class=""><span class="" style="text-align: justify; text-indent: -18pt; background-color: white;">Data-driven approaches to the analysis of nonverbal displays expressed within interpersonal context, including facial expressions, eye gaze and head movements, body postures and hand gestures, audio (e.g., turn taking, vocal outbursts, etc.), and the co-modelling of nonverbal and verbal cues;</span></li><li class=""><span class="" style="text-align: justify; text-indent: -18pt; background-color: white;">Data-driven approaches to the modelling of interpersonal coordination such as convergence, synchrony or mimicry;</span></li><li class=""><span class="" style="text-align: justify; text-indent: -18pt; background-color: white;">Automatic detection of abnormal social behaviour, namely, non-conforming patterns in nonverbal interaction;</span></li><li class=""><span class="" style="text-align: justify; text-indent: -18pt; background-color: white;">Unsupervised/weakly supervised learning of social interaction, including representation learning, learning from interpersonal context, learning across data modalities, exploiting feature correlations, etc.;</span></li><li class=""><span class="" style="text-align: justify; text-indent: -18pt; background-color: white;">Explainable deep models, ranging from extracting interpretable features and visualisation to analysing decision making processes and building interactive explanations and human-in-the-loop approaches;</span><span class="" style="text-align: justify; text-indent: -18pt; background-color: white;"> </span></li><li class=""><span class="" style="text-align: justify; text-indent: -18pt; background-color: white;">Clinical applications (e.g., autism, depression, anxiety, etc.), including defining appropriate qualitative and quantitative evaluation methods;</span></li><li class=""><span class="" style="text-align: justify; text-indent: -18pt; background-color: white;">Novel datasets comprising social interactions among typicals, </span><span class="" style="text-align: justify; text-indent: -18pt; background-color: white;">psychiatric disorders, or mixed groups. </span></li></ul><div class="" style="text-align: justify; text-indent: -24px;"><div class="" style="background-color: rgb(255, 255, 255);"><b class=""><font color="#14171a" class=""><span class="" style="white-space: pre-wrap;"> Link</span></font>: </b><font color="#14171a" class=""><span class="" style="white-space: pre-wrap;"><a href="https://fg2020.org/typical-vs-atypical-learning-rules-of-social-interaction-from-a-multidisciplinary-perspective/" class="">https://fg2020.org/typical-vs-atypical-learning-rules-of-social-interaction-from-a-multidisciplinary-perspective/</a></span></font></div><div class="" style="text-align: start; text-indent: 0px; background-color: rgb(255, 255, 255);"><font color="#14171a" class=""><span class="" style="white-space: pre-wrap;"><b class=""><br class=""></b></span></font></div><div class="" style="caret-color: rgb(102, 102, 102); color: rgb(102, 102, 102); text-align: start; text-indent: 0px; background-color: rgb(255, 255, 255);"><span class="" style="caret-color: rgb(20, 23, 26); color: rgb(20, 23, 26); white-space: pre-wrap;"><b class="">Instructions of paper submission:</b> </span><span class="" style="caret-color: rgb(20, 23, 26); white-space: pre-wrap;"><a href="https://fg2020.org/instructions-of-paper-submission-for-review/" class="">https://fg2020.org/instructions-of-paper-submission-for-review/</a></span></div></div></div><span class=""><br class=""></span><div class=""><span class="" style="caret-color: rgb(20, 23, 26); color: rgb(20, 23, 26); white-space: pre-wrap;">We look forward to receiving many exciting contributions! </span></div><div class=""><span class="" style="caret-color: rgb(20, 23, 26); color: rgb(20, 23, 26); white-space: pre-wrap; background-color: rgb(255, 255, 255);"><br class=""></span></div><div class=""><span class="" style="caret-color: rgb(20, 23, 26); color: rgb(20, 23, 26); white-space: pre-wrap; background-color: rgb(255, 255, 255);">With kind regards, </span></div><div class="">Oya Celiktutan & Alexandra L. Georgescu</div></body></html>