We describe a mixed-initiative framework designed to sup-port the customization of complex graphical user interfaces. The framework uses an innovative form of online GOMS analysis to provide the user with tailored customization sug-gestions aimed at maximizing the user’s performance with the interface. The suggestions are presented non-intrusively, minimizing disruption and allowing the user to maintain full control. The framework has been applied to a general user-productivity application. A formal user evaluation of the system provides encouraging evidence that this mixed-initiative approach is preferred to a purely adaptable alterna-tive and that the system’s suggestions help improve task per-formance.
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Bunt et al. (2007) studied this question.
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