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Mr Chris Stone

Computer systems for experimental psychology

Chris has a background in software systems development with extensive experience of the information systems industry and previous involvement in psychology and vision research. After initially graduating in psychology he worked for Professor Richard Gregory as a research assistant in the Brain and Perception Laboratory at the University of Bristol, investigating visual illusions and phenomena at isoluminance. His major project was the development of a computerised colour vision testing system which used heterochromatic flicker photometry to measure red/green hue discrimination; this system was installed in Bristol Eye Hospital and featured on the BBC’s “Tomorrow’s World” programme [published as "A New Computer Graphics Test for Red/Green Colour Anomaly"; Heard, Stone, Gregory and Marmion (1987), Colour Vision Deficiencies, vol.8]. During his subsequent career in information systems, he worked in fields including medical laboratory systems, nuclear power station management information systems, and the commercial sector; eventually becoming a Fellow of the Institution of Analysts and Programmers. Most recently he worked for a global media and publishing company undertaking investigations of business system problems around their European operations, designing developing and implementing IT solutions. Chris joined the School of Experimental Psychology as an honorary member of staff in May 2011 to provide systems development expertise for research projects, primarily in the field of vision research. This involved (in collaboration with a researcher at the University of Cambridge) development of a software package which uses a computer model of visual processing to analyse differences between images and evaluate the conspicuity of objects, with application to railway signal safety, and constructing an interface to allow non-technical users to access and operate this model.  Currently he is a Research Associate in the Tobacco and Alcohol Research Group, developing innovative methods of capturing lifestyle health behaviour data "in-the-wild", with a view to developing targeted "just-in-time" health interventions.


Research keywords

  • vision
  • perception
  • computer systems development