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<div style="text-align:justify;font-size: 10pt"><u style="color:#000000;font-family:Arial;font-size: 10pt">Call for papers/brief book chapters: </u></div>

<div style="text-align:justify;font-size: 10pt"><strong style="background-color:transparent;font-family:Arial;font-size: 10pt"><em>Understanding Social Behavior in Dyadic and Small Group Interactions </em></strong></div>

<div style="text-align:justify;font-size: 10pt"><strong style="background-color:transparent;font-family:Arial;font-size: 10pt"><em>(Proceedings of Machine Learning Research - PMLR: https://proceedings.mlr.press/)</em></strong></div>

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<div style="text-align:justify;font-size: 10pt"><u style="color:#000000;font-family:Arial;font-size: 10pt">Description</u><span style="color:#000000;font-family:Arial;font-size: 10pt">: Human interaction has been a central topic in psychology and social sciences, aiming at explaining the complex underlying mechanisms of communication with respect to cognitive, affective and behavioral perspectives. From a computational point of view, research in dyadic and small group interactions enables the development of automatic approaches for detection, understanding, modeling and synthesis of individual and interpersonal social signals and dynamics. Many human-centered applications for good (e.g., early diagnosis and intervention, augmented telepresence and personalized assistive agents) depend on devising solutions for such tasks. </span></div>

<div style="text-align:justify;font-size: 10pt"><span style="color:#000000;font-family:Arial;font-size: 10pt">Verbal and nonverbal communication channels are used in dyadic and small group interactions to convey our goals and intentions while building a common ground. During interactions, people influence each other based on the cues they perceive. However, the way we perceive, interpret, react, and adapt to them depends on a myriad of factors (e.g., our personal characteristics, either stable or transient; the relationship and shared history between individuals; the characteristics of the situation and task at hand; societal norms; and environmental factors). To analyze individual behaviors during a conversation, the joint modeling of participants is required due to the existing dyadic or group interdependencies. While these aspects are usually contemplated in non-computational dyadic research, context- and interlocutor-aware computational approaches are still scarce, largely due to the lack of datasets providing contextual metadata in different situations and populations.</span></div>

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<div style="text-align:justify;font-size: 10pt"><u style="color:#000000;font-family:Arial;font-size: 10pt">Topics and Motivation</u><span style="color:#000000;font-family:Arial;font-size: 10pt">: In line with these, we would like to bring together researchers in the field and from related disciplines to discuss the advances and new challenges on the topic of dyadic and small group interactions. We want to put a spotlight on the strengths and limitations of the existing approaches, and define the future directions of the field. In this context, we accept </span><strong style="color:#000000;font-family:Arial;font-size: 10pt">papers/brief book chapters in form of tutorials, surveys, and/or novel technical/scientific contributions</strong><span style="color:#000000;font-family:Arial;font-size: 10pt"> addressing the issues related to, but not limited to, these topics:</span></div>

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<li style="font-size: 10pt"><span style="color:#000000;background-color:transparent;font-family:Arial;font-size: 10pt">Detection, understanding, modeling, prediction and synthesis of individual and interpersonal social signals and dynamics;</span></li>

<li style="font-size: 10pt"><span style="color:#000000;background-color:transparent;font-family:Arial;font-size: 10pt">Verbal / nonverbal communication analysis in dyadic and small groups;</span></li>

<li style="font-size: 10pt"><span style="color:#000000;background-color:transparent;font-family:Arial;font-size: 10pt">Contextual analysis in dyadic and small groups;</span></li>

<li style="font-size: 10pt"><span style="color:#000000;background-color:transparent;font-family:Arial;font-size: 10pt">Datasets, annotation protocols and bias discovering/mitigation methods in dyadic and small groups;</span></li>

<li style="font-size: 10pt"><span style="color:#000000;background-color:transparent;font-family:Arial;font-size: 10pt">Interpretability / Explainability in dyadic and small groups;</span></li>

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<div style="text-align:justify;font-size: 10pt"><strong style="color:#000000;font-family:Arial;font-size: 10pt">Researchers that express their interest in contributing to the PMLR proceedings by October 1st may be invited to p</strong><strong style="background-color:transparent;font-family:Arial;font-size: 10pt">resent a snippet of their research during the </strong><strong style="background-color:transparent;font-family:Arial;font-size: 10pt"><em>ICCV’21 Understanding Social Behavior in Dyadic and Small Group Interactions (DYAD)</em></strong><strong style="background-color:transparent;font-family:Arial;font-size: 10pt"> Workshop (</strong><a style="background-color:transparent;font-family:Arial;font-size: 10pt" href="https://chalearnlap.cvc.uab.cat/workshop/44/description/" target="_blank"><strong>https://chalearnlap.cvc.uab.cat/workshop/44/description/</strong></a><strong style="background-color:transparent;font-family:Arial;font-size: 10pt">) if they wish to in order to increase visibility of their research and possibly foster multidisciplinary collaboration.</strong></div>

<div dir="auto"><span style="font-size: 10pt"><br /></span><u style="background-color:transparent;font-family:Arial;font-size: 11pt">Important dates:</u></div>

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<li style="font-size: 10pt"><strong style="color:#000000;background-color:transparent;font-family:Arial;font-size: 10pt">Title and abstract (optional but strongly encouraged): October 1st, 2021 </strong></li>

<li style="font-size: 10pt"><strong style="color:#000000;background-color:transparent;font-family:Arial;font-size: 10pt">ICCV’21 DYAD workshop</strong><span style="color:#000000;background-color:transparent;font-family:Arial;font-size: 10pt">: October 16th, 2021</span></li>

<li style="font-size: 10pt"><strong style="color:#000000;background-color:transparent;font-family:Arial;font-size: 10pt">Paper submission</strong><span style="color:#000000;background-color:transparent;font-family:Arial;font-size: 10pt">: November 30th, 2021 (extended)</span></li>

<li style="font-size: 10pt"><strong style="color:#000000;background-color:transparent;font-family:Arial;font-size: 10pt">Author notification</strong><span style="color:#000000;background-color:transparent;font-family:Arial;font-size: 10pt">: mid-January 2022 (tentative)</span></li>

<li style="font-size: 10pt"><strong style="color:#000000;background-color:transparent;font-family:Arial;font-size: 10pt">Camera-ready (PMLR)</strong><span style="color:#000000;background-color:transparent;font-family:Arial;font-size: 10pt">: mid-February 2022 (tentative) </span></li>

</ul>

<div dir="auto"><span style="font-size: 10pt"><br /></span><span style="background-color:transparent;font-family:Arial;font-size: 10pt">Submission of intent (title and abstract) by email: </span><a style="background-color:transparent;font-family:Arial;font-size: 10pt" href="https://mailto:sergio@maia.ub.es" target="_blank">sergio@maia.ub.es</a><span style="font-size: 10pt"><br /></span><span style="background-color:transparent;font-family:Arial;font-size: 10pt">Paper submission via CMT platform: </span><a style="background-color:transparent;font-family:Arial;font-size: 10pt" href="https://cmt3.research.microsoft.com/PLMRDYAD2021" target="_blank">https://cmt3.research.microsoft.com/PLMRDYAD2021</a><span style="font-size: 10pt"><br /></span><span style="background-color:transparent;font-family:Arial;font-size: 10pt">More info at: </span><a style="background-color:transparent;font-family:Arial;font-size: 10pt" href="https://chalearnlap.cvc.uab.cat/workshop/44/schedule/" target="_blank">https://chalearnlap.cvc.uab.cat/workshop/44/schedule/</a><span style="background-color:transparent;font-family:Arial;font-size: 10pt"> (PMLR track)</span><span style="font-size: 10pt"><br /></span></div>

<div style="text-align:justify;font-size: 10pt"><strong style="color:#000000;font-family:Arial;font-size: 10pt"><u>ORGANIZATION and CONTACT*</u></strong></div>

<div style="text-align:justify;font-size: 10pt"><strong style="color:#000000;font-family:Arial;font-size: 10pt">Sergio Escalera*</strong><span style="color:#000000;font-family:Arial;font-size: 10pt">, Computer Vision Center (CVC) and University of Barcelona, Spain <</span><a style="font-family:Arial;font-size: 10pt" href="https://mailto:sergio.escalera.guerrero@gmail.com" target="_blank">sergio.escalera.guerrero@gmail.com</a><span style="color:#000000;font-family:Arial;font-size: 10pt">> </span></div>

<div style="text-align:justify;font-size: 10pt"><strong style="color:#000000;font-family:Arial;font-size: 10pt">Cristina Palmero*</strong><span style="color:#000000;font-family:Arial;font-size: 10pt">, Computer Vision Center (CVC) and University of Barcelona, Spain <</span><a style="font-family:Arial;font-size: 10pt" href="https://mailto:c.palmero.cantarino@gmail.com" target="_blank">c.palmero.cantarino@gmail.com</a><span style="color:#000000;font-family:Arial;font-size: 10pt">> </span></div>

<div style="text-align:justify;font-size: 10pt"><strong style="color:#000000;font-family:Arial;font-size: 10pt">Wei-Wei Tu</strong><span style="color:#000000;font-family:Arial;font-size: 10pt">, 4Paradigm Inc., China</span></div>

<div style="text-align:justify;font-size: 10pt"><strong style="color:#000000;font-family:Arial;font-size: 10pt">Albert Clapés</strong><span style="color:#000000;font-family:Arial;font-size: 10pt">, Aalborg University (AAU), Denmark, and Computer Vision Center (CVC) , Spain</span></div>

<div dir="auto"><strong style="color:#000000;font-family:Arial;font-size: 10pt">Julio C. S. Jacques Junior</strong><span style="color:#000000;font-family:Arial;font-size: 10pt">, Computer Vision Center (CVC/UAB), Spain</span></div>

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