Context Weaver: Awareness and feedback in networked mobile crowdsourcing tools

Abstract

Mobile crowdsourcing allows people to collect data using a large pool of participants. In this paper, we focus on mobile crowdsourcing for citizens to solve local issues in context. We argue that such crowdsourcing environments need to support exploration, a continuous, opportunistic, and multi-perspective process that existing crowd sensing systems cannot easily support. We have developed a system called Context Weaver, which connect participants using networked mobile devices in order to support collaborative exploration, and conducted field trials to understand the effect of networking participants in the crowdsourced data-collection activities that encompass planning, execution, and analysis phases. We discuss a methodology for exploratory mobile crowdsourcing by citizens based on the provision of mutual awareness and rapid feedback in context. The proposed methodology can provide a basis for a model of networked mobile crowdsourcing which can exploit not only the man-power but also the creativity of citizens to gather relevant data.

Employees With Autism Spectrum Disorders in the Digitized Work Environment: Perspectives for the Future

“…DT strongly influence employee behavior in the scope of, among other things, creativity and employee well-being (Van Knippenberg et al, 2015), collaborative practices and the need for sensory and emotional engagement in the workplace (Gruber et al, 2015). It makes professional work much easier, facilitating the communication process, allowing new possibilities of virtual teamwork (Gilson et al, 2014), providing some new ideas and tools (e.g., networked mobile crowdsourcing tools; Sasao et al, 2015). However, there are of course some disadvantages.…”

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