Creative Technology Research Group, Department of
Informatics, University of Sussex
The Representational
Systems Lab conducts research on
the nature and use of representational system from
the perspective of Cognitive Science.
Representational systems are symbolic systems that encode
knowledge, for example: diagrams, graphical user
interfaces, information visualization, formal notations,
maps and natural language. Cognitive Science is the
science of how the mind functions by processing
information. So, the
Lab's research applies theories and methods from
Cognitive Science to study how representational systems
shape cognition and to create new representational systems
and technology to enhance how we think and learn.
RepSys Lab Members
Peter
Cheng – Professor of Cognitive Science / RepSys
Lab Director
Ronald
Grau – Senior Lecturer in Computer Science and
Artificial Intelligence
Diagrammatic notional systems for problem solving
and learning; e.g., logic, mathematics, physics, dance
Graphical user-interfaces: e.g.,
planning/scheduling, cyber-security user access
control
Diagrammatic intelligent tutoring systems
Automatic representation selection for human-like AI
system
Micro behaviour analysis of chunk processing
Competence measurement; e.g., mathematics,
programming, natural language
User-authentication
Cognition of writing and drawing
Individual differences and the control of behaviour
Cognitive science of tactile interaction and
graphics
Tactile graphics for people with visual impairment
Reading diagrams and notations by touch
Graphic design of tactile material
Current and recent
Research Grants include:
How
to (re)represent it? (2018-2019) Project
home page. Funded by the EPSRC Human-Like
Computing research programme EP/R030642/1
Cognitive Science of
tactile graphics. (2016-20) Project
home page. Funded by the RM Phillips
Endowment.
Cyber-security
visualization: collaborative graphical tools for
security policies. (2020-24) Qatar
National Research Fund (NPRP), Lead-PI Dr
Noorah Fetais