Publication | Closed Access
MAV-Vis: a notation for model uncertainty
19
Citations
8
References
2013
Year
Unknown Venue
EngineeringModeling NotationNotations TheorySemanticsUncertainty FormalismUncertainty ModelingPartial ModelsNatural Language ProcessingSyntaxUncertainty QuantificationComputational LinguisticsGrammarLanguage StudiesStatisticsMachine TranslationFormal NotationSemantic InterpretationProbability TheoryComputer ScienceAutomated ReasoningDesign UncertaintyCognitive ModelingUncertainty ManagementModel UncertaintyLinguisticsComputational Semantics
We apply the Physics of Notations theory to design MAV-Vis, a concrete syntax for partial models, i.e., models where design uncertainty is explicitly captured. To validate our implementation of this theory in creating MAV-Vis, we designed and executed an empirical user study comparing the cognitive effectiveness of MAV-Vis with the existing, ad-hoc notation, MAV-Text. We measured the ease, speed, and accuracy of each notation for reading and writing partial models.
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