CoDesign Lab

Artificial and Human Intelligence.

CoDesign is CONFLUENCE: it’s a confluence of research areas advocating for an interdisciplinary mindset and methodology aimed at advancing the theory and practice of Human-Centred Artificial Intelligence. Primarily, we pursue systematic computational modelling and behavioural research into facets of human behaviour and decision-making in everyday, naturalistic settings.

With a central focus on Artificial and Human Intelligence, we pursue human-centric, socio-technologically motivated opportunities where basic research in AI and Spatial Cognition, and Technological Artefacts emanating therefrom, ought to demonstrate their scientific impact, application, and societal significance. Ethico-legal compliance of AI technologies within the framework of emerging AI regulations is a central guiding-force.

CoDesign HUMAN-MACHINE INTERACTIONARTIFICIALINTELLIGENCECOGNITIVE SCIENCEAND PSYCHOLOGYDESIGN SCIENCE

RESEARCH ARTIFICIAL AND HUMAN INTELLIGENCE

Minds. Experiences. Technologies.

CoDesign addresses — as one area of ongoing emphasis — the interpretation and synthesis of embodied cognitive experiences under ecologically valid naturalistic conditions using a synergy of empirical and analytical methods rooted in the cognitive and computational disciplines. Human-centred characteristics are central to our conception of AI-driven assistive technologies.

Human-Centred Computing.
Formal and Cognitive Foundations.

We investigate the formal & cognitive foundations for human-centred computing, and the human-centred design, development, and usability of cognitive technologies aimed at human-in-the-loop assistance & empowerment in decision-making, planning, creative-technical problem-solving, and automation.

Scientific Scope

  • Artificial Intelligence
  • Cognitive Science · Psychology
  • Cognitive Neuroscience
  • Visuospatial Cognition and Computation
  • Human-Machine Interaction
  • Design Science · Design Cognition

Research Areas / Themes

  • knowledge representation · semantics · commonsense · declarative methods
  • semantic interpretation of multimodal human behaviour data
  • integration of reasoning and learning · explainability · neurosymbolism
  • synergy of computational and behavioural / empirical methods
  • data-centred methods for psychology · psychology-driven AI · “in the wild” naturalistic experimentation
  • embodiment · visuospatial thinking · motion & interaction · visuospatial perception and cognition
  • design science · design cognition and computation · designing embodied cognitive experiences

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