By Topic

How to model behavioural and cognitive complexity in human-computer interaction with Petri nets

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Rauterberg, M. ; Human-Machine Interaction Group, Swiss Fed. Inst. of Technol., Zurich, Switzerland ; Schluep, S. ; Fjeld, M.

Decisions and actions 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 Petri net description of the task dependent decision structure (logical structure). This net is extended by goal setting structures (modelling) and executed (simulated process). The aim is functional equivalence between observed and simulated processes. Three modelling strategies, event-driven, parallel goal setting, and feedback controlled goal setting types, are presented

Published in:

Robot and Human Communication, 1997. RO-MAN '97. Proceedings., 6th IEEE International Workshop on

Date of Conference:

29 Sep-1 Oct 1997