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Fig. 10 | Human-centric Computing and Information Sciences

Fig. 10

From: Heuristics for spatial finding using iterative mobile crowdsourcing

Fig. 10

Results averaged over 1000 runs for varying \(\delta\) for different values of k for the coverage 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. i Average, median and standard deviation for number of questions with k = 1000 as \(\delta\) varies. j Average, median and standard deviation for number of rounds with k = 1000 as \(\delta\) varies

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