Crowd Sensing and Living Lab Outdoor Experimentation Made Easy
This addresses the problem of conducting rigorous outdoor experiments for researchers and practitioners in pervasive computing, though it is incremental as it builds on existing crowd sensing methods.
The authors tackled the complexity and cost of outdoor living lab experiments by introducing Smart Agora, an open-source platform that allows visual design and deployment of experimental scenarios to smartphones without coding, improving data quality and purposefulness for crowd sensing.
Living lab outdoor experimentation using pervasive computing provides new opportunities: higher realism, external validity and socio-spatio-temporal observations in large scale. However, experimentation `in the wild' is complex and costly. Noise, biases, privacy concerns, compliance with standards of ethical review boards, remote moderation, control of experimental conditions and equipment perplex the collection of high-quality data for causal inference. This article introduces Smart Agora, a novel open-source software platform for rigorous systematic outdoor experimentation. Without writing a single line of code, highly complex experimental scenarios are visually designed and automatically deployed to smart phones. Novel geolocated survey and sensor data are collected subject of participants verifying desired experimental conditions, for instance, their localization at certain urban spots. This new approach drastically improves the quality and purposefulness of crowd sensing, tailored to conditions that confirm/reject hypotheses. The features that support this innovative functionality and the broad spectrum of its applicability are demonstrated.