This tutorial addresses
the confluence of empirically-based behavioural research in the cognitive and psychological sciences with computationally-driven analytical methods rooted in
artificial intelligence and
machine learning.



The main technical focus of the tutorial is to provide a high-level demonstration of general AI-based computational methods and tools that can be used for multimodal human behavioural studies. Of special focus are visuospatial, visuo-locomotive, and visuo-auditory cognitive experiences.

SCIENTIFIC FOCUS

The tutorial on Spatial Cognition and Artificial Intelligence addresses the confluence of empirically-based behavioural research in the cognitive and psychological sciences with computationally-driven analytical methods rooted in artificial intelligence and machine learning. This confluence is addressed in the backdrop of human behavioural research concerned with naturalistic, in-the-wild, embodied multimodal interaction. The tutorial presents:

  • an interdisciplinary perspective on conducting evidence-based human behaviour research from the viewpoints of visual perception, environmental psychology, and spatial cognition.
  • AI methods for the semantic interpretation of embodied multimodal interactions (e.g., rooted in behavioural data), and the (empirically-driven) synthesis of interactive embodied cognitive experiences in real-world settings relevant to both everyday life as well to professional creative-technical spatial thinking
  • the relevance and impact of research in cognitive human-factors in spatial cognition for the design and implementation of human-centred AI technologies

The main technical focus of the tutorial is to provide a high-level demonstration of general AI-based computational methods and tools that can be used for multimodal human behavioural studies. Of special focus are visuospatial, visuo-locomotive, and visuo-auditory cognitive experiences in the context of application areas such as architecture and built environment design, narrative media design, product design, cognitive media studies, and autonomous cognitive systems (e.g., robotics, autonomous vehicles). Presented methods are rooted in foundational research in artificial intelligence, spatial cognition and computation, spatial informatics, human-computer interaction, and design science.
The tutorial utilises case-studies to demonstrate the application of the foundational practical methods and tools. This will also involve practical examples from large-scale experiments in domains such as evidence-based architecture design, communication and media studies, and cognitive film studies.

UPCOMING
@ Spatial Cognition 2020/1

Spatial Cognition Conference 2020/1
Riga, Latvia — August 1 to 4, 2021. 

@ ETRA 2018

ACM Symposium on Eye Tracking Research & Applications., ETRA 2018, Warsaw, Poland 

@ COSIT 2017

International Conference on Spatial Information Theory (COSIT) 2017., L'Aquila, Italy, September 4-8, 2017