PubMed · 6890217
The source did not provide an abstract. Follow the original record for more information.
Explore connections, maps & timelines
I Moar, L R Carleton. 1982. Memory for routes.. https://doi.org/10.1080/14640748208400850
Cite the original work for its findings. Save a collection to share your selection of sources.
KEEP EXPLORING
This paper investigates whether affixal homonymy, the phenomenon that one affix form serves two or more semantic/syntactic functions, affects lexical processing of inflected words in a similar way for a morphologically rich language such as Finnish as for morphologically restricted languages such as Dutch and English. For the latter two languages, there is evidence that affixal homonymy triggers full-form storage for inflected words (Bertram, R., Schreuder, R., and Baayen, R. H. (in press). The balance of storage and computation in morphological processing: the role of word formation type, affixal homonymy, and productivity. Journal of Experimental Psychology: Learning, Memory, and Cognition; Sereno and Jongman (1997). Processing of English inflectional morphology. Memory and Cognition, 25, 425-437). Two visual lexical decision experiments show the same pattern for Finnish. Apparently, the substantially richer morphology in Finnish does not prevent full-form storage for inflected words when the affix is homonymic.
Explore the source record for details and available documents.
This paper discusses the methods and techniques that are applied for including human factors considerations into risk analysis of modern plants. The application of new control design principles and the extensive use of automation have strongly modified the role of operators, who have progressively become supervisors of automatically performed procedures and decision makers in a context of shared management processes. This implies that cognitive functions and organisational factors affect risk analysis much more than behavioural and physical performances. Another crucial issue of human reliability assessment concerns the dynamic nature of human-machine interaction. This feature covers a wide spectrum of real situations, but demands quite complex and extensive data. These considerations favour the development of new and evolutionary techniques which must be confronted with the requirements and needs of different types of risk analysis be carried out for different objectives, such as quantitative risk analysis, safety management, accident investigation, risk-based decision making and risk-based regulations. Advantages and areas of application of different techniques are briefly discussed, without attempting to develop a detailed comparison.