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

G.W.M. Rauterberg, S. Schluep, M. Fjeld

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    6 Citations (Scopus)
    100 Downloads (Pure)

    Abstract

    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
    Original languageEnglish
    Title of host publicationRO-MAN : robot and human communication : IEEE international workshop, 6th, 29 September - 1 October 1997, Sendai
    Place of PublicationNew York, NY
    PublisherInstitute of Electrical and Electronics Engineers
    Pages320-325
    ISBN (Print)0780340760
    Publication statusPublished - 1997

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