[et_pb_section fb_built=”1″ admin_label=”section” _builder_version=”4.14.4″ background_enable_image=”off” custom_padding=”3px||5px|||” global_colors_info=”{}” theme_builder_area=”post_content”][et_pb_row admin_label=”row” _builder_version=”4.14.4″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” width=”90%” custom_padding=”4px||6px|||” global_colors_info=”{}” theme_builder_area=”post_content”][et_pb_column type=”4_4″ _builder_version=”3.25″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||” theme_builder_area=”post_content”][et_pb_text _builder_version=”4.14.4″ _module_preset=”default” text_font=”||||||||” text_text_color=”#000000″ text_font_size=”13px” link_text_color=”#0C71C3″ ol_font=”|600|||||||” header_3_text_color=”#083f87″ header_4_text_color=”#072f93″ header_4_font_size=”16px” header_5_text_color=”#085593″ header_6_text_color=”#d31d1d” header_6_line_height=”1.4em” text_orientation=”justified” custom_margin=”||18px|||” hover_enabled=”0″ border_width_bottom=”1px” border_color_bottom=”#a0a0a0″ global_colors_info=”{}” theme_builder_area=”post_content” sticky_enabled=”0″]<\/p>\n
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The term \u201caesthetic experience\u201d corresponds to the inner state of a person exposed to the form and content of artistic objects. Quantifying and interpreting the aesthetic experience of people in different contexts can contribute towards (a) creating context and (b) better understanding people\u2019s affective reactions to different aesthetic stimuli. Focusing on different types of artistic content, such as movies, music, literature, urban art, ancient artwork, and modern interactive technology, the goal of this workshop is to enhance the interdisciplinary collaboration among researchers coming from the following domains: affective computing, aesthetics, human-robot\/computer interaction, digital archaeology and art, culture, addictive games.<\/p>\n
https:\/\/sites.google.com\/view\/maae2022\/home<\/a><\/span><\/p>\n [\/et_pb_text][et_pb_text module_id=”3″ _builder_version=”4.14.4″ _module_preset=”default” header_5_text_color=”#054687″ header_5_line_height=”1.3em” custom_margin=”||25px|||” border_width_bottom=”1px” border_color_bottom=”#a5a5a5″ global_colors_info=”{}” theme_builder_area=”post_content”]<\/p>\n Embodied Social Artificial Intelligence in the form of conversational virtual humans and social robots are becoming key aspects of human-machine interaction. For several decades, researchers from varying fields such as human-computer interaction and robotics, have been proposing methods and models to generate non-verbal behaviour for conversational agents in the form of facial expressions, gestures, and gaze. This workshop aims at bringing together these researchers. The aim of the workshop is to stimulate discussions on how to improve both generation methods and the evaluation of the results, and spark an exchange of ideas and cue possible collaborations.\u00a0<\/span><\/p>\n https:\/\/genea-workshop.github.io\/2022\/workshop<\/span><\/a><\/p>\n [\/et_pb_text][et_pb_text module_id=”4″ _builder_version=”4.14.4″ _module_preset=”default” header_5_text_color=”#054687″ header_5_line_height=”1.3em” custom_margin=”||25px|||” border_width_bottom=”1px” border_color_bottom=”#a5a5a5″ global_colors_info=”{}” theme_builder_area=”post_content”]<\/p>\n Deep video understanding is a difficult task which requires systems to develop a deep analysis and understanding of the relationships between different entities in video, to use known information to reason about other, more hidden information, and to populate a knowledge graph (KG) with all acquired information. To work on this task, a system should take into consideration all available modalities (speech, image\/video, and in some cases text). The aim of this workshop is to push the limits of multimodal extraction, fusion, and analysis techniques to address the problem of analysing long duration videos holistically and extracting useful knowledge to utilize it in solving different types of queries. The target knowledge includes both visual and non-visual elements. As videos and multimedia data are getting more and more popular and usable by users in different domains, the research, approaches and techniques we aim to be applied in this workshop will be very relevant in the coming years and near future.<\/p>\n https:\/\/sites.google.com\/view\/dvu2022-workshop<\/a><\/p>\n [\/et_pb_text][et_pb_text module_id=”5″ _builder_version=”4.14.4″ _module_preset=”default” header_5_text_color=”#054687″ header_5_line_height=”1.3em” custom_margin=”||25px|||” border_width_bottom=”1px” border_color_bottom=”#a5a5a5″ global_colors_info=”{}” theme_builder_area=”post_content”]<\/p>\n The ability to automatically infer relevant aspects of human users’ thoughts and feelings is crucial for technologies to adapt their behaviors in complex interactions intelligently (e.g., for user models in social robots or tutoring systems). Research on multimodal analysis of behavioral and physiological data has demonstrated the potential for estimates of a broad range of internal states and processes, such as a person’s mood or attentional engagement. However, despite progress, constructing robust enough models for deployment in real-world applications remains an open problem. The MSECP-Wild workshop serves as a multidisciplinary forum to present and discuss research on addressing this challenge. It is a concerted effort to stimulate joint research projects, exchange methods and critically discuss current and future investigations. We welcome the presentation of evaluation studies, theoretical considerations, data corpora, and novel modeling approaches. In this iteration, the workshop focuses particularly on addressing variations in contextual conditions as a challenge for accurate predictions of internal states and processes, notably within social settings (e.g., conversations in a group). Submissions specifically relating to this topic will be given priority for presentation. Similarly, we encourage all submissions to reflect on context-related challenges\/limitations in their work.<\/p>\n http:\/\/msecp-wild.ewi.tudelft.nl\/<\/a><\/p>\n [\/et_pb_text][et_pb_text module_id=”6″ _builder_version=”4.14.4″ _module_preset=”default” header_5_text_color=”#054687″ header_5_line_height=”1.3em” custom_margin=”||25px|||” border_width_bottom=”1px” border_color_bottom=”#a5a5a5″ global_colors_info=”{}” theme_builder_area=”post_content”]<\/p>\n https:\/\/ahcweb01.naist.jp\/samih2022\/index.html<\/a> [\/et_pb_text][et_pb_text module_id=”7″ _builder_version=”4.14.4″ _module_preset=”default” header_5_text_color=”#054687″ header_5_line_height=”1.3em” custom_margin=”||25px|||” border_width_bottom=”1px” border_color_bottom=”#a5a5a5″ global_colors_info=”{}” theme_builder_area=”post_content”]<\/p>\n<\/strong><\/h5>\n
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The GENEA Workshop 2022: The 3rd<\/sup>Workshop on Generation and Evaluation of Non-verbal Behaviour for Embodied Agents<\/strong><\/h5>\n
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2nd<\/sup> International Workshop on Deep Video Understanding<\/strong><\/h5>\n
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MSECP-Wild: The 4th<\/sup> Workshop on Modeling Socio-Emotional and Cognitive Processes from Multimodal Data In-the-Wild<\/strong><\/h5>\n
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3rd<\/sup> Workshop on Social Affective Multimodal Interaction for Health (SAMIH)<\/strong>
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3rd<\/sup>\u00a0Workshop on Bridging Social Sciences and AI for Understanding Child Behavior
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