ArtInHCI2024 Session: Emotional Intelligence in AI: Bridging the Gap Between Human Emotions and Machine Perception (ArtInHCI’24-EIAI) is conducted under the 2nd International Conference on Artificial Intelligence and Human-Computer Interaction, held during October 25-27, 2024 in Kunming.
The integration of emotion recognition and analysis in Artificial Intelligence (AI) systems is a critical step towards creating more human-centric and empathetic technologies. As AI continues to evolve, its ability to understand, interpret, and respond to human emotions becomes increasingly important for enhancing human-computer interaction. This Special Session aims to explore the latest advancements, challenges, and future directions in emotion recognition and analysis within the context of AI and Human-Computer Interaction.
The session will delve into various aspects of emotion recognition and analysis, including but not limited to:
- Advanced algorithms for emotion detection from facial expressions, voice, and physiological signals
- The role of machine learning and deep learning in improving emotion recognition accuracy
- Ethical considerations and privacy issues in emotion analysis
- Cross-cultural studies on emotion recognition and the universality of emotional expressions
- Integration of emotional intelligence in AI-driven applications such as virtual assistants, customer service bots, and healthcare systems
- The impact of emotional intelligence on user experience and user satisfaction
ArtInHCI’24- EIAI Committee Member
Inspur (Beijing) Electronic Information Industry Co. Ltd
Areas of Expertise: Spiking neural network; Emotion Recognition/Analysis
Brief Introduction: Dr. Binqiang Wang is a distinguished researcher with a Ph.D. in Signal and Information Processing from the University of Chinese Academy of Sciences. His academic journey began at Northwestern Polytechnical University, where he earned a Bachelor of Science in Computer Science and Technology. He has honed his expertise in deep learning, multi-modal information processing, and affective computing through extensive academic and industrial experiences. His research interests are at the forefront of technological innovation, with a particular emphasis on affective computing, emotion recognition and analysis, brain-inspired computing, and spiking neural networks. He currently holds the position of researcher with the title of Senior Engineer at Inspur (Beijing) Electronic Information Industry Co., Ltd. His academic prowess is reflected in his numerous accolades, including the Excellent Paper of Inspur Group in 2022, funding from the Shandong Provincial Natural Science in 2021, and the LiYuehua Zhu Scholarship in 2020. He leads a research group focused on information fusion algorithms for multi-modal emotion recognition in affective computing and brain-inspired computing. He has published 12 academic papers in renowned domestic and international journals, with 6 of them indexed by SCI and another 6 by EI. His work has garnered over 700 citations on Google Scholar, attesting to its influence and relevance. Additionally, He has applied for 9 patents, out of which 5 have been authorized as invention patents, highlighting his innovative and impactful research contributions.