Abstract: A process-condition search device includes: a parameter classifying unit that classifies a plurality of parameters into a plurality of variable parameters and one or more fixed parameters; a first dimensionality reducing unit that generates, from the variable parameters, first features whose dimension is equal to or smaller than a first dimension; a second dimensionality reducing unit that generates, from the one or more fixed parameters, a second feature whose dimension is equal to or smaller than a second dimension; a machine learning unit that generates a learning model by learning the relationship between the first features, the second features, and a plurality of evaluation values; a third dimensionality processing unit that generates a third feature whose dimension is equal to or smaller than the second dimension from one or more target fixed parameters, which are the one or more fixed parameters; an optimal-processing-condition search unit that uses the third feature and the learning model to search fo

Abstract: A guidance device includes: a processor, and a memory to store a program which, when executed by the processor, performs processes of: performing a search for a suitable value of a parameter for guiding an attention of a user to a target position by repeating a process of updating a value of the parameter so that an evaluation value approaches a predetermined value, and determining, from a result of the search, a value of the parameter for outputting at least part of an object, the evaluation value changing according to a difference between the target position and a position estimated by a user from at least part of the object when at least part of the object is output; generating output data for outputting at least part of the object, by using the determined value of the parameter; and outputting at least part of the object using the output data.