Author: Ronald A. Rensink

Ronald A. Rensink

Ronald A. Rensink

I am interested in vision-the various ways that humans, animals, and computers use light to see.  I believe that vision involves constraints that apply to any  system, and that the most successful visual systems are based on very general information-processing strategies.  As such, my approach is to examine biological systems (including humans) to see how they operate, and then to look at these mechanisms from a computational point of view to see if they embody more general principles.  Among other things, these more general principles can provide a scientific basis for the design of visual interfaces that can interact with human visual systems in an optimal way.

My research interests include:

1. Human vision
  • what is attention, and how does it operate?
  • what is space, and how do we represent it?
  • what are objects, and how do we represent them?
  • how are scenes represented?
  • 2. Computational vision
  • how do "quick and dirty" processes reduce time requirements?
  • what are the trade-offs for various kinds of representations?
  • what are the physical limits of visual perception?
  • are there universal principles for all vision systems?
  • 3. Information visualization
  • what is the basis of effective design in visual displays?
  • how can visual interfaces be designed so as to be "transparent" to the user?
  • how can data be represented so that our visual intelligence can pick out interesting patterns?
  • how can visual analytics systems be designed to allow the user to easily analyze immense amounts of data?


    Publication period start: 2010
    Publication period end: 2010
    Number of co-authors: 1


    Number of publications with favourite co-authors
    Gideon Baldridge

    Productive Colleagues

    Most productive colleagues in number of publications
    Gideon Baldridge


    Rensink, Ronald A. (2010): Seeing Seeing. In Psyche, 6 (0) pp. 68-78.

    Rensink, Ronald A., Baldridge, Gideon (2010): The perception of correlation in scatterplots. In Computer Graphics Forum, 29 (0) pp. 1203-1210.

    Commentary for Data Visualization for Human Perception chapter of The Encyclopedia of Human-Computer Interaction, 2nd Ed..