Skip to main content

Advertisement

Fig. 6 | Human-centric Computing and Information Sciences

Fig. 6

From: Heuristics for spatial finding using iterative mobile crowdsourcing

Fig. 6

Results averaged over 1000 runs (vertical axis) for varying \(\delta\) (horizontal axis) for four different values of k for the parking map scenario. a Average, median and standard deviation for number of questions with k = 5 as \(\delta\) varies. b Average, median and standard deviation for number of rounds with k = 5 as \(\delta\) varies. (c)Average, median and standard deviation for number of questions with k = 20 as \(\delta\) varies. d Average, median and standard deviation for number of rounds with k = 20 as \(\delta\) varies. (e)Average, median and standard deviation for number of questions with k = 40 as \(\delta\) varies. f Average, median and standard deviation for number of rounds with k = 40 as \(\delta\) varies. g Average, median and standard deviation for number of questions with k = 100 as \(\delta\) varies. h Average, median and standard deviation for number of rounds with k = 100 as \(\delta\) varies.

Back to article page