Automation systems, e.g., hydro power plants and industrial automation systems include heterogeneous engineering disciplines, e.g., mechanical, electrical, process, and software engineering, and raise additional challenges for quality assurance activities, e.g., identifying defects in change management processes where different disciplines are involved. Our observations in industry shows variou...

This paper introduces SwissAnalyst, a complete Data Mining environment powered by Weka. SwissAnalyst was developed as an intuitive process layer, which offers all necessary features to place it on par, in terms of functionality, with most major commercial Data Mining software packages. As GNU GPL software, SwissAnalyst offers a license-free platform to develop both proofs of concept for potenti...

Keyed data entry is fundamental and ubiquitous, occurring when filling data fields in web forms, entering burglar alarm pass-codes, using calculators, entering drug delivery rates in infusion pumps, making cash withdrawals from cash machines, setting destinations for GPS navigation, to name but a few of its applications. Unfortunately data entry is often implemented poorly. We introduce diverge...

Participants performed a tracking task along with a system and flight parameter monitoring task while aided by diagnostic automation. The goal of the study was to examine operator compliance and reliance as affected by automation failures, and to clarify claims regarding independence of these two constructs. Background data revealed a trend towards non-independence of the compliance-reliance co...

Many cartographic systems currently rely on raster-scan digitizing to convert analog source material to digital form. Raster technology is very effective at rapid and accurate digitization of large volumes of cartographic data. At the same time, existing raster-to-vector (R-V) conversion processes rely on an inordinately large amount of human post-scan editing to coherently sort and combine the...