Cognition.  AI.  Interaction.  Design.

The scientific scope research in Artificial and Human Intelligence encompasses the areas of:

Particular research areas and themes that are presently of interest include:

• 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

Intelligence   /   From Mundane to Creative-Technical Problem Solving Activities

The scope of artificial and human intelligence being addressed encompasses a range of everyday living and professional working situations, from the seemingly mundane performative acts of sustenance to complex creative-technical problem solving endeavours. Here, the spectrum ranges from activities such as household activities, everyday driving, crossing a street and everyday interpersonal interaction, to complex (creative) problem solving for conceptual & engineering design, and for multimodal communicative & performative acts in professional settings.
We emphasise problem-solving requiring analogical reasoning, induction, abduction, mental simulation, and visuo-spatial abstraction.

Human Behaviour.   Embodiment.  
Visuospatial Thinking.

This research adopts the standpoint that:

I.   BOTTOM-UP INTERDISCIPLINARITY

• bottom-up interdisciplinarity combining -e.g., methods in AI and cognitive psychology- can serve as a principal means of human-centred AI technology design & development, and AI-driven cognitive assistance in situations requiring an interplay of commonsense, creative and specialist human-scale intelligence / problem-solving ability. Bottom-up interdisciplinarity requires that research areas not merely borrow methods from one another, but instead co-develop: mutually influence, inspire and shape respective scientific thinking and interpretation & dissemination of results.

II.   NATURALISTIC STUDY    /    EMBODIED MULTIMODAL INTERACTION

• a multifaceted study of the artificial and human aspects of intelligence -e.g., from computational & behavioural research viewpoints- translates to an interdisciplinary study of human behaviour in ``in-the-wild'' ecologically valid naturalistic (embodied multimodal interaction) settings.

III.   DESIGN THINKING

• design-thinking -i.e., as pursued in design science, design cognition, interaction design, universal design- can offer a valuable human-centred perspective for engineering (``usable'') artificial cognitive technologies aiming to assist, empower, and augment human capability.