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.
翻译：利用普遍计算进行活室室外实验提供了新的机会:更高的现实主义、外部有效性和社会空间时空观测,但“野外”实验既复杂又昂贵,噪音、偏见、隐私问题、遵守道德审查委员会的标准、远程温和、控制实验条件和设备等都使收集高质量数据作为因果关系推论的难解之处。本篇文章介绍了智能Agora,这是一个用于严格系统室外实验的新颖的开放源码软件平台。在不撰写单行代码的情况下,对高度复杂的实验情景进行视觉设计,并自动应用到智能手机上。新地理定位调查和感官数据由参与者收集,以核实理想的实验条件,例如在某些城市地点的定位。这种新方法极大地提高了人群感测的质量和目的性,适应于确认/纠正假说的条件。展示了支持这种创新功能及其广泛应用的特征。
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