School of Computing


The School of Computing has a world class usability laboratory.

Usability means making products and systems easier to use and matching them more closely to user needs and requirements. Usability testing involves measuring the performance of typical users (ease of use, task time, user satisfaction) on products, systems or websites. The usability laboratory allows us to support the observation of human-computer interaction. The observer and participant rooms of the laboratory can be seen in the pictures below. The usability laboratory is available for research or for professional usability consulting.




Usability observer room Usability participant room with eye tracker

The usability laboratory also consists of a Tobii eye tracker. Eye tracking is a technique to determine eye movement and eye fixation patterns of a person. Eye tracking provides further insight into the user's thought process as they completed a task. The example below shows how several participants looked at the UNISA homepage. The red (hot) areas demonstrate where participants fixated the most to find certain information.



Eye tracking heat map of the Unisa homepage


The laboratory also has a psycho-physiology section. Psycho-physiology is an area of psychology that measures an individual's physiological responses to indicate his/her psychological state. We have instruments available to measure:    

  • brainwaves (EEG)
  • galvanic skin response
  • skin temperature
  • electrocardiogram (ECG)
  • blood pressure

A specific area of interest is physiological computing. The goal is to transform bioelectrical signals from the human nervous system into real time computer input in order to enhance and enrich the interactive experience (e.g. automatically changing the difficulty of a computer game based on input received). It has many more applications, e.g.  online marketing endeavours (measuring exactly what the viewer experiences as opposed to subjective questionnaires), e- and m-learning, in combination with eye-tracking equipment to provide richer data etc.

For more information on the latter, contact Prof Mac van der Merwe on 011 471 3863