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Human processor modelling language (HPML): Estimate working memory load through interaction

: Geisler, J.; Scheben, C.

Volltext urn:nbn:de:0011-n-936745 (427 KByte PDF)
MD5 Fingerprint: 0b4521ad72fe8820378be0cf15196bca
Erstellt am: 28.8.2009

Jung, E.S. ; International Federation of Automatic Control -IFAC-; International Federation for Information Processing -IFIP-; International Federation of Operational Research Societies -IFORS-; International Ergonomics Association -IEA-:
10th IFAC/IFIP/IFORS/IEA Symposium on Analysis, Design, and Evaluation of Human-Machine Systems, IFAC-HMS 2007. Pt.1 : Seoul, Korea 4.-6.9.2007
Seoul, 2007
ISBN: 978-3-902661-37-1
Symposium on Analysis, Design, and Evaluation of Human-Machine Systems <10, 2007, Seoul>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IITB ( IOSB) ()
human factors; human-machine interface; human perception; mental workload; memory interference; short-term memory

To operate machines over their user interface may cause high load on human's working memory. This load can decrease performance in the working task significantly if this task is a cognitive challenging one, e. g. diagnosis. With the »Human Processor Modelling Language« (HPML) the interaction activity can be modelled with a directed graph. From such models a condensed indicator value for working memory load can be estimated. Thus different user interface solutions can get compared with respect to their relative demand on working memory resources