Gamified Mobile Applications for Improving Driving Behavior: A Systematic Mapping Study

<table class="table-group" id="tab18"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Hypothesis</td><td class="align_center">Evaluation</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">(H5) Classification is the most used ML task in driving behavior analysis.</td><td class="align_center">Results showed that among the selected applications that use machine learning algorithms, most apps applied classification tasks and few apps applied other tasks. This finding was sufficient to confirm hypothesis H6.</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Evaluation of the hypothesis H5.</div>

Mobile Information Systems

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Table 18

Table 18: Gamified Mobile Applications for Improving Driving Behavior: A Systematic Mapping Study 