HI Lights 5 expo: Hybrid Intelligence in Action

Warmly welcome to HI Lights 5 Expo: Hybrid Intelligence in Action!

Discover Hybrid Intelligence in action through inspiring research demos, concrete use cases, a poster session, and a thought-provoking panel discussion with the HI Scientific Advisory Board.

Hybrid Intelligence is far more than a single research field. It is a nexus of disciplines, where artificial intelligence, education, psychology, ethics, computer vision, extended realities, healthcare, learning sciences, amongst others come together to explore how humans and AI can learn, interact, and evolve together. Rather than focusing solely on technology, HI examines the relationship between people and intelligent systems and how this collaboration can enhance human capabilities in responsible and ethical ways.

Have you ever wondered how your own research could connect with Hybrid Intelligence? Whether you study human behaviour, learning, technology, health, ethics, data, communication, or something entirely different, you may find unexpected links and new opportunities for collaboration. Join researchers from across disciplines as they show and tell how their work contributes to understanding and shaping the future of human-AI co-evolution in our increasingly interconnected physical, virtual, and multi-reality worlds.

The on-site event in Saalasti Hall at the University of Oulu brings together researchers, students, stakeholders, and Hybrid Intelligence Scientific Advisory Board (SAB) members to discuss cross-theme collaboration, emerging research directions, and the future of Hybrid Intelligence.

Register here by Tue 15th of September.

Come and explore where disciplines meet, ideas converge, and the next breakthroughs in human-AI collaboration begin.

The expo is organized by Hybrid Intelligence research programme.

Program

12:00 - 12:15 Opening, HI research program leader, Prof. Sanna Järvelä
12:15 – 13:15 Hybrid Intelligence Research Program in Practice: Showcasing Our Work Through Presentations,
organized by Haoyu Chen and Associate Professor Andy Nguyen. Session Chairs: Postdoctoral researchers Evan Center and Delfin Tursin.

Presentations, USE CASES, 5 min each

Embodied and multimodal AI foundations

1. Where VLA Models Fail: A Diagnostic Benchmark for Embodied AI, Xiaoyu Yuan
2. SayNext, A Multimodal Benchmark for AI-Based Behavioral and Cognitive Analysis, Yueyi Yang
3. Zero-MELO: Test-Time Evidence Calibration with Multimodal LLMs for Zero-Shot Micro-Gesture Recognition, Chengyan Wang
4. BIG: Adaptive Humanoid Motion Generation through Body–Intent Graphs, Yuan He

Health and well-being applications

5.GAMA: Game-Based Multimodal Cognitive Assessment for Adolescent Mental Health, Shokooh Mirfakhraei
6. XFoodRec, An Explainable LLM-Based Mobile App for Personalized Healthy Eating, Mehrdad Rostami; Amir Mollazadeh
7.Metaverse in Healthcare Education — Dimitra Gkounta

Embodied AI and learning

8.Mixed Reality Language Learning App, Muhammad Amin Yamini; Muhammad Danyal Sikander
9.Embodied AI Agent for Active Learning, Belle Dang; Thu Duong
10.MAI 2.0 - Metacognitive AI Agent developed to support socially shared regulation of learners, Athina Kardiakou; Marta Sobocinski

13:15- 14:15 HI Scientific Advisory Board (SAB) Panel discussion
with Professor Kaisa Väänänen, Human-Technology Interaction, Tampere University, leader of research group of Human-Centered Technology, Finland.
Professor Nicu Sebe, Computer Vision, Multimedia and Affective Computing, University of Trento, Italy.
Professor Nikol Rummel, Educational Psychology and Educational Technology, Ruhr University Bochum (RUB), Secondment at CAIS, HEAD of Educational Technologies and Artificial Intelligence research program, Germany.
Professor Carolyn Penstein Rosé, Language Technologies and Human-Computer Interaction, Carnegie Mellon University, and Language Technologies Institute and Human-Computer Interaction Institute, US.

Session chairs: Professor Sanna Järvelä, leader of HI programme, Professor Guoying Zhao, vice leader of HI programme.

14:15-14:20 Coming up; HHAI2027 conference in Oulu,
HI coordinator Satu Kaleva

14:20– 15:55 Poster session, demo discussions, networking walk-around, and cocktails
Organized by postdoctoral researcher Laura Kohonen-Aho, Assistant professor Matti Pouke, postdoctoral researcher Suijing Yang.

Demo discussions

1. 1.Learner Annotation as a Hybrid Intelligence Approach to Supporting Socially Shared Regulation, Suijing Yang
2. MAI 2.0 - Metacognitive AI Agent developed to support socially shared regulation of learners, Athina Kardiakou; Marta Sobocinski
3. XFoodRec: An Explainable LLM-Based Mobile App for Personalized Healthy Eating, Mehrdad Rostami; Amir Mollazadeh
4. Where VLA Models Fail: A Diagnostic Benchmark for Embodied AI, Xiaoyu Yuan
5. GAMA: Game-Based Multimodal Cognitive Assessment for Adolescent Mental Health, Shokooh Mirfakhraei
6. BIG: Adaptive Humanoid Motion Generation through Body–Intent Graphs,Yuan He
7. Mixed Reality Language Learning App, Muhammad Amin Yamini; Muhammad Danyal Sikander
8. Embodied AI Agent for Active Learning, Belle Dang; Thu Duong
9. XRHealthEdu: VR simulations for Healthcare education, Joonas Ojanen, Delfin Tursin
10. LeaF Infrastructure - Niina Palmu, Antti Siipo

Posters

1. Learner Annotation as a Hybrid Intelligence Approach to Supporting Socially Shared Regulation, Suijing Yang.
2. MAI 2.0, Athina Kardiakou; Marta Sobocinski
3. Motivation and Emotions in Collaborative Learning: A Hybrid Intelligence Perspective, Tiina Törmänen
4. Where VLA Models Fail: A Diagnostic Benchmark for Embodied AI, Xiaoyu Yuan
5. Mixed Reality Language Learning App, Muhammad Amin Yamini; Muhammad Danyal Sikander
6. Extended reality case-based learning in interprofessional education: A mixed methods systematic review – Dimitra Gkounta
7. Digital & Immersive Technologies in Palliative Care Education for Undergraduate Nurses: A Systematic Review – Adam Graham
8. Designing Adaptive XR Learning Environments for Self-Regulated Clinical Simulation: A Design-Based Research Approach – Bhagya Rodrigo
9. AI-Scaffolded SSRL in Game-Based Learning – Mingmin Chen
10. AI-Estimated Depth Improves Depth Perception for Panoramic Virtual Reality Experiences  – Anqi Zhou
11. MAI-VR System Architecture – Chubo Zeko
12. Thermal Imaging for Contactless Cardiorespiratory and Sudomotor Response Monitoring - PhD Mohammad Rakibur Rahman, Centre for Machine Vision and Signal Analysis (CMVS)
13. Using CNN Feature Representations to Predict Human Brain Responses to Natural Scenes – Max Garcia

16:00 Closing the seminar, Prof. Guoying Zhao

The event is open until 17.30 for networking and demos and posters available for the audience.

Register here by Tue 15th of September.

Additional information: Coordinator dr. Satu Kaleva, satu.kaleva@oulu.fi