Show simple item record Lee, Mark Howard Garrett, Simon Martin 2006-04-06T13:38:37Z 2006-04-06T13:38:37Z 2000-10
dc.identifier.citation Lee , M H & Garrett , S M 2000 , ' Qualitative modelling of unknown interface behaviour ' International Journal of Human-Computer Studies , vol 53 , no. 4 , pp. 493-515 . DOI: 10.1006/ijhc.1999.0382 en
dc.identifier.issn 1095-9300
dc.identifier.other PURE: 67416
dc.identifier.other PURE UUID: aad84638-c38b-427f-8904-2f96648171be
dc.identifier.other dspace: 2160/94
dc.identifier.uri en
dc.description M. H. Lee, and S. M. Garrett, Qualitative modelling of unknown interface behaviour, International Journal of Human Computer Studies, Vol. 53, No. 4, pp. 493-515, 2000 en
dc.description.abstract When faced with an interface to an unknown system or device humans adopt exploratory interactive behaviour in order to gain information and insight. This paper describes a computer program which probes, observes and models the input–output space of unknown systems. We use a schema concept as the memory structure for recording events and adopt a constructive approach that avoids preprocessing the raw data. We believe qualitative assessments are important in early analysis and employ techniques from qualitative reasoning research in order to capture correlation behaviour. The aim is to gain insight into the nature of an unknown system for guidance in future model selection. A series of experiments and their results are discussed, together with the assumptions and limitations of the method. We suggest further developments for future experiments that appear promising. en
dc.format.extent 23 en
dc.language.iso eng
dc.relation.ispartof International Journal of Human-Computer Studies en
dc.rights en
dc.subject black-box modelling en
dc.subject interface en
dc.subject input–output en
dc.title Qualitative modelling of unknown interface behaviour en
dc.type /dk/atira/pure/researchoutput/researchoutputtypes/contributiontojournal/article en
dc.contributor.institution Advanced Reasoning Group en
dc.contributor.institution Department of Computer Science en
dc.contributor.institution Institute of Biological, Environmental and Rural Sciences en
dc.description.status Peer reviewed en

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