Evidence Based Design of Heuristics for Computer Assisted Assessment

  • Authors:
  • Gavin Sim;Janet C. Read;Gilbert Cockton

  • Affiliations:
  • School of Computing Engineering and Physical Sciences, University of Central Lancashire, Preston, UK;School of Computing Engineering and Physical Sciences, University of Central Lancashire, Preston, UK;Department of Computing, Engineering and Technology, University of Sunderland Sunderland, UK

  • Venue:
  • INTERACT '09 Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part I
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

The use of heuristics for the evaluation of interfaces is a well studied area. Currently there appear to be two main research areas in relation to heuristics: the analysis of methods to improve the effectiveness of heuristic evaluations; and the development of new heuristic sets for novel and specialised domains. This paper proposes an evidence based design approach to the development of domain specific heuristics and shows how this method was applied within the context of computer assisted assessment. A corpus of usability problems was created through a series of student surveys, heuristic evaluations, and a review of the literature. This corpus was then used to synthesise a set of domain specific heuristics for evaluating CAA applications. The paper describes the process, and presents a new set of heuristics for evaluating CAA applications.