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HCI2010
accessibility of the correct control
3) evaluate the quality of the match between the control's label and the goal and
4) evaluate the
feedback that would be provided to the notional user after the action. Section 15.3 of Preece Rogers and Sharp summarises the Cognitive Walkthrough process. More information on cognitive walkthrough is available in a brief description presented at the ACM conference on Human Factors in Computing Systems in 1995: http://doi.acm.org/10.1145/223355.223735 An alternative printed source is this chapter in a book on usability inspection (available in the CL library Wharton, C, Rieman, J, Lewis, C, and Polson, P. The cognitive walkthrough method A practitioner's guide. In J. Nielsen and R. Mack (Eds, Usability inspection methods. John Wiley & Sons, Inc, New York, NY, 1994.


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Evaluation of Part II projects
A substantial proportion of the marks fora Part II project are awarded for proper evaluation. Inmost projects, this tends to be summative – formative evaluation work could be reported in the preparation or even implementation sections of the dissertation.
Non-HCI projects
In all projects, whether or not they include a user interface component, empirical measures are considered to offer stronger evidence for the quality of your work, and a higher degree of scientific rigour. Empirical evaluation involves taking measurements (perhaps of compile times, or network traffic estimates. Most empirical measurements are not exact, so it will be necessary to make a number of measurements, and report the degree of variance as well as the mean. Empirical results are particularly convincing if they offer a comparison
– either comparing performance of your system to an existing one, or comparing earlier and later versions of your work. Where a comparison is being made, and there is some variance in measurements, it is necessary to give some statistical evidence to support the claim that the observed difference was not the result of random variation.

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