Representational Systems Lab

Director: Peter C-H. Cheng     Professor of Cognitive Science

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 research of the Lab 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. 

Current areas of the Lab's research include:

  1. Knowledge visualizations - Representational Epistemology: Invention of novel for information-intensive and conceptually challenging domains to enhance complex problem solving and conceptual learning. 
  2. Studies of the nature of writing and drawing production.
  3. Cognitive Science of Tactile Graphics: Investigating the nature of the reading tactile graphics by people with visual impairment and the design of effective new graphics. 
  4. Millisecond human knowledge/competence measurement: techniques for simple, rapid, automatic, continuous assessment of learning/competence using sub-second behavioural signals to probe memory structures. 

Peter Cheng's work has received  funding from EPSRC, ESRC, and charitable organizations and endowments amounting to over 1,800k. 

Key publications: See individual areas for topic specific publications

PhD Students: Current, past and prospective

Peter Cheng's brief biography.

To Creative Technology Group Web pages


Peter Cheng, Professor of Cognitive Science
Department of Informatics,
University of Sussex
Falmer, Brighton,
BN1 9QH,  UK

Email: p.c.h.cheng@sussex.ac.uk
direct line: +44 (0)1273 873652
Dept office:   +44 (0)1273 678030


Peter Cheng    (9/3/16)