Chapter 15: Evaluation: Inspections, Analytics, and Models
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The main aims of this chapter are to:
- Describe the key concepts associated with inspection methods.
- Explain how to do heuristic evaluation and walkthroughs.
- Explain the role of analytics in evaluation.
- Describe how to perform two types of predictive methods: GOMS and Fitts' Law.
The evaluation methods described so far in this book have involved interaction with, or direct
observation of, users. In this chapter we introduce methods that are based on understanding
users through knowledge codified in heuristics, or data collected remotely, or models that
predict users' performance. None of these methods require users to be present during the
evaluation. Inspection methods typically involve an expert role-playing the users for whom
the product is designed, analyzing aspects of an interface, and identifying any potential usability
problems by using a set of guidelines. The most well known are heuristic evaluation
and walkthroughs. Analytics involves user interaction logging, which is often done remotely.
Predictive models involve analyzing the various physical and mental operations that are
needed to perform particular tasks at the interface and operationalizing them as quantitative
measures. Two of the most commonly used predictive models are GOMS and Fitts' Law.