Note: All tutorials have been initially accepted as half-day events. Some, will possibly be extended to full-day if they will prove to be highly attractive to the COSIT community and if their intended contents will prove to be suitable for a full-day schedule. Refer to this page for up-to-date information about tutorials duration.
T1 - Spatial cognition in the wild: methods for large-scale behavioural research in visuo-locomotive perception
The tutorial on Spatial Cognition in the Wild presents an interdisciplinary perspective on conducting evidence-based human behaviour research from the viewpoints of spatial cognition and computation, environmental psychology, and visual perception. The tutorial emphasises the semantic interpretation of multimodal behavioural data, and the (empirically-driven) synthesis of embodied interactive experiences in real world settings. Of special focus are: visual (e.g., perception, attention based on eye-tracking), visuo-locomotive (e.g., movement, indoor wayfinding), and visuo-auditory (e.g., moving images) cognitive experiences in the context of areas such as architecture & built environment design, narrative media design, product design, cognitive media studies (e.g., film, animation, immersive reality).
The technical focus of the tutorial is on demonstrating general computational methods, tools, and cognitive assistive technologies that can be used for multi-modal human behaviour studies in visual, visuo-locomotive, and visuo-auditory perception. Presented methods are rooted in foundational research in artificial intelligence, spatial informatics, and human-computer interaction. The tutorial utilises case-studies from large-scale experiments in domains such as evidence-based architecture design, communication and media studies, and cognitive film studies to demonstrate the application of the foundational practical methods and tools.
Chairs:Mehul Bhatt, Carl Schultz, Jakob Suchan, Vasiliki Kondyli
T2 - Qualitative Representations of Spatial Knowledge
The aim of this tutorial is to present a complete overview of all qualitative representations of space and time developed so far and to provide and introduction to their underlying formalisms, reasoning techniques, and applications. Qualitative representations constitute a class of symbolic approaches to represent selected aspects of spatial or temporal knowledge, typically choosing a common sense level of abstraction. As such, qualitative techniques grant a human-centered approach to processing spatial and temporal information. By reasoning, missing pieces of information can be supplemented, conflicting facts can be discovered and conflicts resolved, and various other operations performed.
While some qualitative spatial representations such as the Region Connection Calculus (RCC) or 9-Intersection are widely known, most members of the well over 40 families often remain unknown. Attendees of this tutorial will acquire a concise overview and also learn about existing tools to benefit from representation and reasoning techniques in their own research. With this tutorial we address practitioners who wish to learn about symbolic representation and reasoning techniques as well as researchers who wish to catch up with the latest advancements in the field, including open research problems.