Performance in a visual search task is usually measured by the cumulative probability of locating a target, F(t), in a given time (t). Two extreme F(t) against (t) relationships have been postulated, one assuming that search is random, and the other assuming that search is systematic. However, these relationships have only been available {or the situation in which each search field contains a single occurrence of a single type of target. This paper extends both search models (random and systematic) first to the case o{ multiple occurrences o{ a single fault type within a search {ield and second to the case of multiple (ault types. For systematic search, these two cases can be combined to predict the effects of multiple occurrences o{ multiple fault types. The general F(t) relationships are given in each case and illustrated with a worked example.

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In the design of industrial inspection tasks, the assumption is usually made that human performance data collected in a 100% inspection scheme is valid for use when the inspector is engaged in sampling inspection. A direct test of this assumption using 60 student subjects showed it to be valid. Analysis of the inspection data in terms of stopping policy in selfpaced inspection showed close correspondence with a model of systematic visual search.

increasingly rely on telecommunications to help them work efficiently while reducing their energy consumption. The current worldwide focus to reduce energy consumption and ecological impacts is adding