Recent Advances in Human-AI Interaction

Dear Colleagues,

AI agents, such as chatbots, voice assistants, and social robots, are now becoming some of the most important and popular components that people can interact with in their daily lives. For successful design, implementation, and application of AI agents, researchers from various fields focus on addressing challenging issues, such as understanding users, sensing interaction contexts, detecting user intents, recognizing user emotions, and so on. Accordingly, the importance of basic building blocks of AI agents, such as multi-modal sensing, feature extraction and representation, and machine/deep learning technologies, is also increasing.

Despite the enormous efforts made in the past, providing a successful human-centered AI experience during human–AI interaction (HAII) is still a challenging ongoing task. The purpose of this Special Issue is to present and discuss novel ideas, research, applications, and results regarding HAII. It aims to bring together researchers from various fields to share their recent findings and developments in HAII, with a focus on technical aspects, and to explore future research directions.

The topics of interest include, but are not limited to:

• Hardware technologies for human–AI interaction
• Multi-modal (e.g., vision, speech, physiological signals) sensing for human–AI interaction
• Signal processing for human–AI interaction
• Feature extraction and representation for human–AI interaction
• Machine learning methodologies for human–AI interaction
• Deep learning methodologies for human–AI interaction
• Datasets and tools for human–AI interaction
• System architecture for human–AI interaction
• UI/UX for human–AI interaction
• Evaluation metrics for human–AI interaction
• Implementation of human–AI interaction
• Applications of human–AI interaction

Prof. Jin-Woo Jeong
Prof. Dr. Sang-Ho Kim
Prof. Dr. Wan-Su Lim
Dr. Han-Jeong Hwang
Guest Editors

Manuscript Submission Information

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• Human–computer interaction (HCI)
• Human–AI interaction (HAII)
• User modeling and understanding
• Multi-modal interaction
• Multi-modal sensing
• Multi-modal signal processing
• Affective/cognitive computing and interaction
• Deep learning and machine learning