HAECU

HAECU-HHAI 2024 Tutorial: Human-AI mutual promotion for emotion and cognition understanding (HAECU)

We propose this tutorial at HHAI 2024, aiming to explore the synergistic potential between AI and human understanding of emotion and cognition. It aims to reveal how AI can enhance our understanding of human emotional and cognitive behaviors and how these insights can, in turn, guide the creation of more nuanced AI systems.

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online degrees

Tutorial on HAECU.

We will provide a methodological introduction to how to use the Human-AI mutual promotion for emotion and cognition understanding in different aspects, in the form of a traditional frontal lecture with slides

short courses

Invited speach session

We will invite field experts to give keynote talks in HAECU. We will also have hands-on session where the proposed methods will be applied and illustrated on a set of use cases.

web experts

Round-table and wrap-up discussion

A final round-table and wrap-up discussion among the participants and organizers will conclude the work of the tutorial about what it means to have a quali-quantitative assessment of using human-AI mutual promotion for emotion and cognition understanding and future research within the HHAI community.

How can AI recognize and understand human emotions and cognitive processes? This involves exploring the capabilities and limitations of current AI technologies, particularly in areas like deep learning and natural language processing, in perceiving and interpreting human emotional states and cognitive patterns, via different cues and modalities, such as macro/micro facial expressions, body languages and other biometric signals.

What impact do human emotions and cognition have on the design and improvement of AI systems? Analyzing how insights from psychology and cognitive science can guide the development of AI systems to better understand and respond to human users’ need.

How can the interaction between humans and AI enhance the understanding of emotions and cognition? Discussing methods and case studies where AI has been used to deepen our understanding of human emotional and cognitive behaviors, and vice versa

What are the challenges and ethical considerations in developing AI that understands human emotions and cognition? Addressing concerns related to privacy, consent, and the potential for misuse of emotionally or cognitively aware AI systems.
About The Tutorial

What is this tutorial about?

Drawing upon foundational theories and methodologies from cognitive science, psychology, and neuroscience, alongside advanced AI technologies such as deep learning, natural language understanding, and emotion AI. This tutorial offers a comprehensive exploration of how these domains can inform and enhance each other. Through a series of lectures, interactive discussions, and hands-on workshops, participants will delve into the mechanisms through which AI can interpret, simulate, and amplify human emotional and cognitive capabilities, as well as how insights into human psychology can inform more nuanced and empathetic AI development.

This tutorial is ideally suited for AI researchers, practitioners, and educators, as well as psychologists and cognitive scientists interested in the intersection of their fields with artificial intelligence. Whether the goal is to deepen the expertise in a specific area of AI, explore new interdisciplinary applications, or contribute to the pioneering field of HHAI, this tutorial promises a rich, engaging, and insightful experience.

CMVS, Oulu University, Finland

Dr. Haoyu Chen

LET, Oulu University, Finland

Andy Nguyen

CMVS, Oulu University, Finland

Yang Liu

LET, Oulu University, Finlands

Sanna Järvelä

Schedule

Upcoming Events

  • HAECU-HHAI 2024 Tutorial

    Human-AI mutual promotion for emotion and cognition understanding

  • Date:
    10 June 2024
  • Duration:
    Half day
  • Location:
    Malmö, Sweden
Contact Us

Feel free to contact us anytime

You can register the tutorial on HAECU-HHAI 2024 conference via official website: https://hhai-conference.org/2024/.

Thank you for paying attention to our tutorial! Feel free to contact us: chen.haoyu@oulu.fi.