01728nas a2200253 4500008004100000020002200041245007300063210006900136260002700205300001400232520095300246653002201199653002901221653001101250653002901261100001901290700002101309700002001330700002201350700001601372700001701388700002301405856004601428 2011 eng d a978-1-4503-1183-000aConstrained data acquisition for mobile citizen science applications0 aConstrained data acquisition for mobile citizen science applicat aNew York, NY, USAbACM a267–2723 a
The popularity and ubiquity of personal mobile computing devices–-coupled with their powerful sensing capabilities–-allow their application in the structured collection of data for societal benefit and science applications. Citizen scientists are willing users and active contributors to scientific research and applications, but if they gather data in an unconstrained or ad hoc manner, their efforts may be of little scientific value. In this paper, we present a user interface for a mobile device which is properly constrained to permit the gathering of valid scientific data. This helps to achieve the goal that any individual with a basic familiarity of the device (but not of the science) should be able to obtain useful data with little learning required. As a use case for this concept, we present a mobile application that allows users to collect location-stamped images to supplement satellite data for climate change research.
10acitizen scientist10adomain-specific modeling10aiphone10amobile phone programming1 aWhitsitt, Sean1 aBarreto, Armando1 aHudson, Maribel1 aAl-Helal, Hussain1 aChu, Diyang1 aDidan, Kamel1 aSprinkle, Jonathan uhttp://dx.doi.org/10.1145/2095050.2095095