[vc_row][vc_column][vc_column_text]<\/p>\n
Social robots, especially service and assistance robots, will soon become part of our daily lives, for example in the hospitality industry or in elderly care roles. With the advent of Industry 5.0, robots equipped with social skills may also appear in factories. With the ever-expanding role of social robots and other artificial agents (including software-based, virtually displayed agents), the development of appropriate communication becomes an urgent task in the field of human-robot and human-computer interaction as well. The need to communicate more and more naturally with robots, even as with another human, is growing. Organic Human-Robot Interaction (O-HRI) is a general framework that includes expectations for robots in the form of scientific principles so that even non-robot specialists feel natural and stress-free when communicating with robots. This special journal issue focuses on the multidisciplinary field related to O-HRI, including robotics, cognitive science, psychology, and human-computer interaction. The articles in this issue deal with topics such as social robotics, emotion recognition, machine learning, and the ethical aspects of designing humanoid robots. By synthesizing diverse perspectives and cutting-edge research, this collection seeks to understand how O-HRI can improve user experience, strengthen trust and cooperation between humans and robots, and shape the future of human-robot coexistence.[\/vc_column_text][vc_column_text]<\/p>\n
This track aims at gathering original works on communication, actions, perception and emotion from experimental and theoretical points of view. The ultimate goal of this research is to provide computational paradigms that may
\nimplement culture-specific, trustful,\u00a0credible, satisfactory and emotionally coloured human-machine interfaces and artificial agents.<\/p>\n
\uf0b7 Cross-cultural processing of social signals
\n\uf0b7 Linguistic and social interactional exchanges
\n\uf0b7 Social Robotics: analysis and applications
\n\uf0b7 Human behaviour: Analysis and understanding
\n\uf0b7 Linguistic sentiment analysis
\n\uf0b7 Changes in sentiment expressions
\n\uf0b7 Cognitive Economy
\n\uf0b7 Group behaviour, group cognition and cultural specificity
\n\uf0b7 Influence of context on perception, memory and decision making
\n\uf0b7 Cognitive systems for multimodal signal analysis
\n\uf0b7 Nonlinear processing of audio-video social signals
\n\uf0b7 Multimodal social signal processing
\n\uf0b7 Other\u2026..[\/vc_column_text][vc_column_text]<\/p>\n
Cognitive Aspects of Virtual Reality (cVR) investigates the next phases of IT evolution characterized by a transition from digital environments based on 2D graphical user interfaces (e.g. windows, images, 2D widgets) to 3D spaces which represent a higher-level integration of VR\/AR\/MR\/Metaverse\/IoD systems, human spatial cognition, the 2D digital world (i.e. Web 2.0, Web 3.0) and artificial intelligence (AI). A primary focus of cVR is how this transition simultaneously makes use of and augments human capabilities, including psychological, cognitive and social capabilities \u2013 especially capabilities linked to a deeper understanding of geometric, temporal and semantic relationships. By extension, cVR further investigates the effects of these changes in human and AI capabilities with respect to a variety of sectors including education, commerce, healthcare, industrial production and others.[\/vc_column_text][vc_column_text]<\/p>\n
This session aims to explore the transformative potential of virtual reality (VR) within the educational field, specifically through the principles of Cognitive Infocommunications. The objective is to provide a thorough examination of how VR can redefine learning experiences, foster innovative teaching methods, and enhance traditional education systems. By bringing together researchers, educators, and technologists, the session seeks to highlight the latest advancements in VR technology and its educational applications, demonstrating its ability to create immersive and engaging learning environments. Additionally, the session will discuss the cognitive benefits of VR, its impact on student engagement and motivation, and the practical challenges of integrating VR into various educational settings. Through case studies and research presentations, this session will offer valuable insights into the future of education and the critical role of VR in shaping it. The ultimate goal is to promote collaboration and inspire innovative solutions that leverage VR to improve educational outcomes and accessibility for all learners.[\/vc_column_text][vc_column_text]<\/p>\n
This session aims to explore the evolving field of Human-Computer Interaction (HCI) and User Experience (UX) within the context of cognitive infocommunications. The objective is to thoroughly examine how advancements in HCI and UX can improve the way humans interact with digital systems, leading to more intuitive, efficient, and satisfying user experiences. By bringing together experts from academia, industry, and technology, the session seeks to highlight the latest research, innovations, and practical applications in HCI and UX. This includes understanding user behavior, designing user-friendly interfaces, and enhancing the overall interaction between humans and computers. The session will also address the cognitive aspects of user experience, examining how design and interaction impact cognitive processes such as perception, attention, and memory. Through detailed case studies and cutting-edge research presentations, participants will gain valuable insights into the future trends of HCI and UX, and the role of cognitive infocommunications in driving these advancements. The ultimate goal is to foster collaboration, share knowledge, and inspire innovative solutions that enhance the usability and accessibility of digital systems for all users.[\/vc_column_text][vc_column_text]<\/p>\n
This session focuses on the relationship between large language models and human cognitive capabilities and biases. By examining how LLMs are similar to and differ from human thought processes, we uncover both the potential and the limitations of these technologies. The discussion will highlight how biases inherent in training data and prompts provided by users can influence AI outputs. This exploration will lead to a deeper understanding of how LLMs can augment human intelligence while addressing the critical need for responsible AI development.[\/vc_column_text][\/vc_column][\/vc_row]<\/p>\n","protected":false},"excerpt":{"rendered":"
[vc_row][vc_column][vc_column_text] Track: Organic human-robot interaction for Social robotics Track Organizers: Csilla Csukonyi (psychologist), University of Debrecen Niitsuma Mihoko (etho-roboticist), Chuo University Almusawi Husam Abdulkareem (robot specialist) University of Debrecen, Scope: Social robots, especially service and assistance robots, will soon become part of our daily lives, for example in the hospitality industry or in elderly care […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_exactmetrics_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"footnotes":""},"class_list":["post-30","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/scitope.com\/coginfocom24\/index.php?rest_route=\/wp\/v2\/pages\/30","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/scitope.com\/coginfocom24\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/scitope.com\/coginfocom24\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/scitope.com\/coginfocom24\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/scitope.com\/coginfocom24\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=30"}],"version-history":[{"count":24,"href":"https:\/\/scitope.com\/coginfocom24\/index.php?rest_route=\/wp\/v2\/pages\/30\/revisions"}],"predecessor-version":[{"id":700,"href":"https:\/\/scitope.com\/coginfocom24\/index.php?rest_route=\/wp\/v2\/pages\/30\/revisions\/700"}],"wp:attachment":[{"href":"https:\/\/scitope.com\/coginfocom24\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=30"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}