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Fig. 4 | Human-centric Computing and Information Sciences

Fig. 4

From: Heuristics for spatial finding using iterative mobile crowdsourcing

Fig. 4

The number of rounds and number of questions averaged over 1000 runs (vertical axis) for varying \(\delta\) (horizontal axis) for different values of k while maintaining a similar \(\alpha\). a Average, median and std. dev. for number of questions with k = 5 and \(\alpha\) = 0.175 as \(\delta\) varies. b Average, median and std. dev. for number of rounds with k  =  5 and \(\alpha \, = \,0.175\) as \(\delta\) varies. c Average, median and std. dev. for number of questions with k  =  20 and \(\alpha \,=\,0.179375\) as \(\delta\) varies. d Average, median and std. dev. for number of rounds with k = 20 and \(\alpha = 0.179375\) as \(\delta\) varies. e Average, median and std. dev. for number of questions with k = 40 and \(\alpha = 0.189375\) as \(\delta\) varies. f Average, median and std. dev. for number of rounds with k = 40 and \(\alpha = 0.189375\) as \(\delta\) varies. g Average, median and std. dev. for number of questions with k = 100 and \(\alpha = 0.195625\) as \(\delta\) varies. h Average, median and std. dev. for number of rounds with k = 100 and \(\alpha = 0.195625\) as \(\delta\) varies

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