To facilitate this, the experimental setup saves the sequence of clicks in each round, from which we calculate the length of each displacement and the angle of each turn. We identify extensive and intensive searching modes that depend on whether the player has detected a yellow cell or not respectively (Fig. \[fig:blindexp\]a). In both situations the jump lengths can be fitted using exponential distributions, with the intensive phase showing a lower mean value $1/\lambda_{\mbox{\tiny{int}}}=2.04$ and $1/\lambda_{\mbox{\tiny{ext}}}=3.70$ ($1/\lambda_{\mbox{\tiny{int}}}$, $1/\lambda_{\mbox{\tiny{ext}}}$ are the mean length of the displacements in the intensive and the extensive phase respectively). Therefore, the typical size of the jumps is reduced once the player finds the yellow area as the detection of the cue (represented by a yellow cell) triggers an area-restricted search [@hassell1978dynamics; @curio2012ethology]. Although the player does not know how big the neighborhood is and therefore how reliable the information is, the trajectories recorded after the discovery of the yellow region still show shorter distances between turns, suggesting that players switch to an intensive search mode once they find the yellow region [@MendezChap6]. It is important to remark that, although alternation between extensive (motion phase) an intensive modes (scanning phase) is also characteristic of intermittent searches, the 