About the Workshop

This workshop proposal focuses on realizing socially aware systems in the wild via cooperative intelligence by keeping humans-in-the-loop. Specifically, this workshop is dedicated to discussing computational methods for sensing and recognition of nonverbal cues and internal states in the wild to realize cooperative intelligence between humans and intelligent systems, including learning and behavior generation complying to the social norm, and other relevant technologies like social interaction datasets.

One of the main considerations to achieve cooperative intelligence between humans and intelligent systems is to enable everyone and everything to know each other well, like how humans can trust or infer the implicit internal states like intention, emotion, and cognitive states of each other. The importance of empathy to facilitate human-robot interaction has been highlighted in previous studies. However, it is difficult for intelligent systems to estimate the internal states of humans because they are dependent on the complex social dynamics and environment contexts. This requires intelligent systems to be capable of sensing the multi-modal inputs, reasoning the underlying abstract knowledge, and generating the corresponding responses to collaborate and interact with humans. There are many studies on estimating internal states of humans through measurements of wearables and non-invasive sensors [10, 24], but it would be difficult to implement these solutions in the wild because of the additional sensors to be worn by humans. It remains an open question for intelligent systems to sense and recognize nonverbal cues and reason the rich underlying internal states of humans in the wild and noisy environments. 

List of Topics

• Human internal state inference, e.g., cognitive, emotional
• Recognition of nonverbal cues, e.g., gaze, gesture
• Multi-modal sensing fusion for scene perception
• Learning algorithms
• Generative and adversarial algorithms
• Empathetic interaction between human-intelligent systems
• Robust sensing of facial and body key points
• Personalization and trust of intelligent systems
• Applications of cooperative intelligence in the wild

Submission Guidelines

We invite authors to submit unpublished papers (2-4 pages excluding references) to our workshop, to be presented at a workshop session upon acceptance. Submissions will undergo a peer-review process by the workshop's program committee. Accepted papers will be invited to be presented at the workshop.

The Best Workshop Paper Award of this workshop is sponsored by Honda Research Institute Japan. Please check the workshop webpage for more details.

The extensions of the papers presented at this HAI 2025 workshop will be invited to be submitted to a special issue journal to-be-announced.

Please use the IEEE conferences paper format to write your manuscript.

• LaTex and MS Word template: https://www.ieee.org/conferences/publishing/templates.html

Organizers

• Jouh Yeong Chew, Honda Research Institute Japan
• Alan Sarkisian, Honda Research Institute Japan
• Shigeaki Nishina, Honda Research Institute Japan
• Christiane Wiebel-Herboth, Honda Research Institute Europe
• Christiane Attig, Honda Research Institute Europe
• Zhaobo Zheng, Honda Research Institute USA

Contact

All questions about submissions should be emailed to jouhyeong.chew@jp.honda-ri.com and zhaobo_zheng@honda-ri.com.