To Örebro University

We present recent and emerging advances in computational cognitive vision addressing artificial visual and spatial intelligence at the interface of (spatial) language, (spatial) logic and (spatial) cognition research. With a primary focus on explainable sensemaking of dynamic visuospatial imagery, we highlight the (systematic and modular) integration of methods from knowledge representation and reasoning, computer vision, spatial informatics, and computational cognitive modelling. A key emphasis here is on generalised (declarative) neurosymbolic reasoning & learning about space, motion, actions, and events relevant to embodied multimodal interaction under ecologically valid naturalistic settings in everyday life. Practically, this translates to general-purpose mechanisms for computational visual commonsense encompassing capabilities such as (neurosymbolic) semantic question-answering, relational spatio-temporal learning, visual abduction etc.

The presented work is motivated by and demonstrated in the applied backdrop of areas as diverse as autonomous driving, cognitive robotics, design of digital visuoauditory media, and behavioural visual perception research in cognitive psychology and neuroscience. More broadly, our emerging work is driven by an interdisciplinary research mindset addressing human-centred responsible AI through a methodological confluence of AI, Vision, Psychology, and (human-factors centred) Interaction Design.