Snap’N’Go: An Extendable Framework for Evaluating Mechanisms in Mobile Crowdsensing
Christine Bassem, Catherine Grevet Delcourt, Sofia Kobayashi, Yuehe Mao · 2024
Given the challenges of evaluating the effect of task allocation mechanisms and their associated incentives on the behavior of participants in mobile participatory crowdsensing platforms, there is a need for an evaluation framework that simplifies the process of benchmarking such mechanisms with real crowds. In this paper, we present our first prototype towards that goal, namely Snap’N’Go, which is a mobile crowdsensing application piggybacking on Slack and designed to prototype various task allocation and incentive mechanisms without affecting the user-experience. This prototype reduces current challenges of evaluating the effect of task allocation mechanisms and their associated incentives on the behavior of participants in crowdsensing.