14–18 September 2026  ·  Nara Institute of Science and Technology (NAIST), Ikoma, Japan

Human-
Centred
Perception.

A five-day German–Japanese summer school on Human-Centred Perception Modelling in Extended Reality — bringing together Master's and PhD students to learn, collaborate, and publish.

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Dates
14–18 Sep 2026
Location
NAIST, Ikoma, Nara
Duration
5 days
Cost
Free of charge

Overview

The 1st German-Japanese Summer School on Human-Centred Perception Modelling in XR is a five-day research programme open to Master's and PhD students, jointly organised by CARE Lab and IMD Lab at NAIST (Japan) and the LAVIS Lab at Hochschule RheinMain (Germany). Participation is free of charge.

The workshop explores how human perception — visual attention, multisensory integration, and spatial cognition — shapes the design of extended reality systems. Invited researchers from both countries introduce key methods and findings across six lecture areas spanning XR interfaces, human-machine interaction, AI, and experimental design.

Participants form cross-cultural teams and move through a full research cycle: from ideation and literature review, to designing and prototyping a real XR study, to presenting results on the final day. Promising projects are encouraged to continue toward joint publications.

Outline

Day 1

Expert Input

Researchers from Germany and Japan introduce key topics in XR, perception, AI, and robotics through a series of lectures.

Day 2

Research Ideation

In cross-cultural teams: identify a research question, review the literature, and scope a study or experiment.

Days 3–4

Prototype and Test

Build and refine an XR experiment or prototype across two days, with peer and faculty feedback throughout.

Day 5

Share and Go Further

Present team results on the final day. Promising projects may continue towards joint publications.

Lecture Topics

L1

Modelling Visual Attention

Computational models of where and how humans direct visual attention in real and virtual scenes.

L2

Multisensory Perception and Sensory Integration

How the brain combines information from vision, hearing, touch, and proprioception into a unified percept.

L3

Vision Augmentation in Extended Reality

Techniques for enhancing and modifying visual perception through AR and VR display systems.

L4

Human-Machine Interaction

Principles and methods for designing effective interfaces between humans and intelligent machines.

L5

Comfort Intelligence for Human-Robot Interaction

Modelling and predicting human comfort to guide the behaviour of robots in shared spaces.

L6

Designing User Studies for XR Research

Experimental design, ethics, measurement, and statistical analysis in the context of extended reality.

Schedule

All times tentative and subject to change.

Day 1 — Monday, 14 September 2026  ·  Expert Input
9:00
Welcome and Introduction
Opening remarks and programme overview.
9:45
Modelling Visual Attention
Lecture
10:45
Multisensory Perception and Sensory Integration
Lecture
11:30
Vision Augmentation in Extended Reality
Lecture
13:30
Human-Machine Interaction
Lecture
14:15
Comfort Intelligence for Human-Robot Interaction
Lecture
15:15
Design Thinking Workshop
Workshop
Evening
Group Finding
Team Work
Day 2 — Tuesday, 15 September 2026  ·  Research Ideation
9:00
Research Ideation Workshop
Workshop
10:45
Literature Review
Team Work
13:30
Concepts and Design
Team Work
16:00
Group Presentation and Q&A
Presentation
Evening
Welcome Dinner
Day 3 — Wednesday, 16 September 2026  ·  Prototype and Test
9:00
Designing User Studies for XR Research
Lecture
10:45
Research Question and Study Design
Team Work
13:30
Prototype and Refinement
Team Work
Day 4 — Thursday, 17 September 2026
Full Day
Guided Excursion
Guided full-day hiking excursion in the Nara/Kyoto area (TBD). Final destination confirmed closer to the event.
Day 5 — Friday, 18 September 2026  ·  Share and Go Further
9:00
Final Presentations
Presentation
13:30
Closing Session

Organisers

Nara Institute of Science and Technology (NAIST)
Cybernetics and Reality Engineering (CARE) Laboratory
Alexander Marquardt
Dr.-Eng.  ·  JSPS Postdoctoral Fellow
Alexander Marquardt

Alexander Marquardt is a JSPS Postdoctoral Fellow at NAIST, Japan. He received his MSc from Bonn-Rhein-Sieg University of Applied Sciences and his PhD in Computer Science from the University of Bremen, Germany. His research focuses on developing multisensory user interfaces that enhance interaction and perception in XR environments, aiming to improve user experience and system effectiveness. He also explores the integration of AI and language models into immersive experiences.

Monica Perusquía-Hernández
Assistant Professor
Monica Perusquía-Hernández

Monica Perusquía-Hernández obtained her Ph.D. in Human Informatics from the University of Tsukuba, Japan. She works on affective computing, physiological computing, embodiment, VR, and human–AI interaction, with a focus on wearable sensing, embodied experiences, and AI-mediated communication. She serves as an Associate Editor of the IEEE Transactions on Affective Computing and has held leadership roles at major conferences, including IEEE FG and ACII. She has also successfully led the organization of several workshops on Cyber-physical technologies for wellbeing, Physiological-based HCI, and Momentary Emotion Elicitation and Capture.

Interactive Media Design (IMD) Laboratory
Taishi Sawabe
Associate Professor
Taishi Sawabe

Taishi Sawabe is an Associate Professor at the Interactive Media Design (IMD) Lab at NAIST. He received his B.E. from Ritsumeikan University in the field of biomimetic robotics, and his Ph.D. from NAIST in 2019 under the supervision of Prof. Hagita at the Ambient Intelligence Laboratory. He subsequently joined IMD Lab as a postdoctoral researcher before becoming an Assistant Professor. His research interests include biomimetic robots, human-robot interaction, human comfort modelling, and autonomous vehicles.

Isidro Butaslac
Assistant Professor
Isidro Butaslac

Isidro Butaslac is an Assistant Professor at the Interactive Media Design (IMD) Lab at NAIST, Japan. He received his B.S. in Electronics and Communications Engineering from Ateneo de Manila University, Philippines, in 2016, and his M.S. and Ph.D. in Engineering from NAIST in 2020 and 2023, respectively. Following his doctorate, he worked as a researcher at the University of Science and Technology of Southern Philippines under the Office of the Vice Chancellor for Research and Innovation. His research interests include augmented and virtual reality, human-computer interaction, and affective computing.

Hochschule RheinMain (HSRM)
Learning and Visual Systems (LAVIS) Laboratory
Dirk Voelz
Professor
Dirk Voelz

Dirk Voelz is a Professor at Hochschule RheinMain, Germany. His research and teaching span innovation and technology management, digital business processes, lean startups, and design thinking. He also works as a professional trainer for event streaming with Apache Kafka and Apache Flink.

Martin Weier
Professor
Martin Weier

Martin Weier is a full professor for visual computing at Hochschule RheinMain in Wiesbaden, Germany. He received his MSc from Bonn-Rhein-Sieg University and his PhD from Saarland University. His research focuses on perception-driven rendering and gaze-contingent ray tracing systems for head-mounted displays, alongside work in visual analytics, high-quality rendering, and compiler technologies.

Biying Fu
Professor
Biying Fu

Biying Fu is a full professor at Hochschule RheinMain, focusing on explainable AI and human-computer interaction. Previously a senior research scientist at the Fraunhofer Institute for Computer Graphics Research, she completed her PhD in 2020 on Sensor Applications for Human Activity Recognition in Smart Environments. Her research spans data processing, biometrics, machine learning, and artificial intelligence.

Venue and Contact

Main entrance gate of Nara Institute of Science and Technology (NAIST), Ikoma, Japan
When
14–18 Sep 202609:00–17:00 JST
Where
NAIST, IkomaNara Prefecture, Japan
Cost
Free of chargefor selected participants

Participation is open to Master's and PhD students in relevant fields. Enquiries welcome.

Email to enquire →