AMME

It means “Automatic Mental Model Evaluator to analyse user behaviour recorded on logfiles” Since the number of actions are high, automatic detection of strategies becomes of interest. Given that the number of users exceeds that of strategies, multiple users will have a strategy in common. Our aim is to find groups of users sharing the same strategy.

AMME is the only surveyed approach that constructs a WIMP simulation model directly from usage data. It appears to be the most effective method, since it is based on actual usage. Tasks solving processes produced by computer users (observed process) contain much information about their mental models, individual problem solving strategy and underlying decision structure for a given task. Our tool AMME analyses observed processes and automatically extracts a description of the task dependent decision structure (logical structure). This net is extended by goal setting structures (modelling) and can be executed (simulated process). The aim is of simulation is functional equivalence between observed and simulated processes. Based on Activity Theory, three modelling strategies, event-driven, parallel goal setting, and regulation-driven goal setting are presented . Based on all observed actions, the latter strategy leads to full functional equivalence. To reduce the complexity of such models, it became necessary to find out which actions are more relevant for successful task solving.

Publications or Reports

  • M. Fjeld, S. Schluep and M. Rauterberg. 1998. Quantification of task related activity by statistical and analytical methods. In Proceedings 7th IFAC/IFIP/IFORS/IEA Symposium on Analysis, Design and E.  
  • M. Rauterberg, S. Schluep and M. Fjeld. 1998. Modeling of cognitive complexity with Petri nets: an action theoretical approach. In R. Trappl (ed.) Cybernetics and Systems'98 (EMCSR '98). Vol. 2, PP. 84.  
Project Status

No current activity