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            <p><b>CALL FOR PAPERS</b></p>
            <p> **Apologies for cross-posting**<br>
              <br>
              <b>Special Issue</b> on<span dir="ltr"></span></p>
            <p><span dir="ltr"></span> <b>Socially Acceptable Robot
                Behavior: Approaches for Learning, Adaptation and
                Evaluation</b><br>
            </p>
            <p> in <a href="https://benjamins.com/catalog/is">Interaction
                Studies</a> <br>
            </p>
            <p><br>
            </p>
            <p><b>I. Aim and Scope</b></p>
            <p>A key factor for the acceptance of robots as regular
              partners in human-centered environments is the
              appropriateness and predictability of their behavior. The
              behavior of human-human interactions is governed by
              customary rules that define how people should behave in
              different situations, thereby governing their
              expectations. Socially compliant behavior is usually
              rewarded by group acceptance, while non-compliant behavior
              might have consequences including isolation from a social
              group. Making robots able to understand human social norms
              allows for improving the naturalness and effectiveness of
              human-robot interaction and collaboration. Since social
              norms can differ greatly between different cultures and
              social groups, it is essential that robots are able to
              learn and adapt their behavior based on feedback and
              observations from the environment.</p>
            <p>This special issue in <a
                href="https://benjamins.com/catalog/is">Interaction
                Studies</a> aims to attract the latest research aiming
              at learning, producing, and evaluating human-aware robot
              behavior, thereby, following the recent <a
                href="https://tsar2021.ai.vub.ac.be/">RO-MAN 2021
                Workshop on Robot Behavior Adaptation to Human Social
                Norms (TSAR)</a> in providing a venue to discuss the
              limitations of the current approaches and future
              directions towards intelligent human-aware robot
              behaviors.<br>
            </p>
            <blockquote>
              <blockquote> </blockquote>
            </blockquote>
            <p><b>II. Submission</b><br>
            </p>
            <blockquote>
              <blockquote> </blockquote>
            </blockquote>
            <ol>
              <li>Before submitting, please check the official journal <a
                  href="https://benjamins.com/catalog/is">guidelines</a>.<br>
              </li>
              <li>For paper submission, please use the <a
                  href="https://www.editorialmanager.com/is/default.aspx">online
                  submission system</a>.</li>
              <li>After logging into the submission system, please click
                on "Submit a manuscript" and select "Original article".</li>
              <li>Please ensure that you select "Special Issue: Socially
                Acceptable Robot Behavior" under "General information".</li>
            </ol>
            <blockquote>
              <blockquote> </blockquote>
            </blockquote>
            <p>    The primary list of topics covers the following
              points (but not limited to):</p>
            <blockquote>
              <blockquote> </blockquote>
            </blockquote>
            <ul>
              <li>Human-human vs human-robot social norms</li>
              <li>Influence of cultural and social background on robot
                behavior perception</li>
              <li>Learning of socially accepted behavior</li>
              <li>Behavior adaptation based on social feedback</li>
              <li>Transfer learning of social norms experience</li>
              <li>The role of robot appearance on applied social norms</li>
              <li>Perception of socially normative robot behavior</li>
              <li>Human-aware collaboration and navigation</li>
              <li>Social norms and trust in human-robot interaction</li>
              <li>Representation and modeling techniques for social
                norms</li>
              <li>Metrics and evaluation criteria for socially compliant
                robot behavior<br>
              </li>
            </ul>
            <blockquote>
              <blockquote> </blockquote>
            </blockquote>
            <p><b>III. Timeline</b><br>
            </p>
            <blockquote>
              <blockquote> </blockquote>
            </blockquote>
            <ol>
              <li>Deadline for paper submission: <b>January 31, 2022</b><b>
                </b><span lang="en-US"></span> </li>
              <li>First notification for authors: <b>April 15, 2022</b><br>
              </li>
              <li>Deadline for revised papers submission: <b>May 31,
                  2022</b></li>
              <li>Final notification for authors: <b>July 15, 2022</b></li>
              <li>Deadline for submission of camera-ready manuscripts: <b>August
                  15, 2022</b></li>
            </ol>
            <p>    Please note that these deadlines are only indicative
              and that all submitted papers will be reviewed as soon as
              they are received.<br>
            </p>
            <blockquote>
              <blockquote> </blockquote>
            </blockquote>
            <b>IV. Guest Editors</b><br>
            <blockquote> </blockquote>
            <ol>
              <li><b>Oliver Roesler</b> – Vrije Universiteit Brussel –
                Belgium</li>
              <li><b>Elahe Bagheri</b> – Vrije Universiteit Brussel –
                Belgium</li>
              <li><b>Amir Aly</b> – University of Plymouth – UK</li>
              <li><b>Silvia Rossi</b> – University of Naples Federico II
                – Italy</li>
              <li><b>Rachid Alami</b> – CNRS-LAAS – France</li>
            </ol>
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