social and individual information is determined by each specific setup.

In all of these scenarios, interactions with the environment provide the searcher with information that may alter the effectiveness of a given strategy over the course of the search. Therefore, in the most general case, search strategies must be interpreted as dynamical processes consisting of several components rather than fixed procedures. For instance, many predators respond to the detection of cues indicating the proximity of prey by increasing their turning angles and reducing their speed in order to scan the local environment more carefully [@hassell1978dynamics; @curio2012ethology], which leads to concentration of the search activity in areas of high prey density [@kareiva1987swarms]. This behavior has been reported in several species of insects [@kareiva1986patchiness], seabirds [@weimerskirch2007does; @fauchald2003using] and also in human searchers looking for hidden resources in open environments [@hills2013adaptive]. Other phenomena that trigger sudden changes in individual movement behavior are changes between habitats [@Ovaskainen2004.Diffusion.model] and changes in the amount and quality of information gathered by the searcher [@bartumeus2005animal].

In this work we propose the use of computer games as a new experimental approach with which it is possible to address these and related questions in humans. This is particularly intriguing since, 