Evaluating User Performance to Experienced Level and Beyond

摘要

Studies focusing on two iconic attributes, form and relative position, suggested subjects rely on form to recognise a particular icon when the form is representational. However, when form is abstract users switch from attempting to use form, to using position. Results had suggested that some degree of positional learning still occurred for subjects using representational form. However, a mre in depth study of ths suggestion was impossible since the standard performance measures of error rate and reaction time settled quickly into an optimal level of performance. To gain better insight into what was occuring, cursor movements were tracked, allowing pre-emptive move data to be captured. The showed that, irrespective of the type of form presented, subject learned and enentually switched to relying on position to identify the icon. More importanlty, results suggest that this learning continued after the traditional measures of reaction time and error rate had reached what Jordan et al. (1991) termed experienced user performance level, or asymptote, The suggestion thereofre is that traditional performane measures are perhpas not sensitive enough to measure learning at the experienced end of the learning curve, and that interface designers should thus consider ways in which to capture this potentially enlightening information which, as yet, remains unexamined.