Paper Info
Title
Sensr: evaluating a flexible framework for authoring mobile data-collection tools for citizen science
Abstract
Across HCI and social computing platforms, mobile applications that support citizen science, empowering non-experts to explore, collect, and share data have emerged. While many of these efforts have been successful, it remains difficult to create citizen science applications without extensive programming expertise. To address this concern, we present Sensr, an authoring environment that enables people without programming skills to build mobile data collection and management tools for citizen science. We demonstrate how Sensr allows people without technical skills to create mobile applications. Findings from our case study demonstrate that our system successfully overcomes technical constraints and provides a simple way to create mobile data collection tools.
Year
DOI
Venue
2013
10.1145/2441776.2441940
CSCW
Keywords
Field
DocType
support citizen science,mobile data-collection tool,mobile data collection,extensive programming expertise,citizen science application,mobile data collection tool,mobile application,flexible framework,technical constraint,share data,citizen science,programming skill,sustainability
World Wide Web,Computer science,Human–computer interaction,Citizen science,Social computing,Mobile data collection,Sustainability
Conference
Citations 
PageRank 
References 
49
2.35
15
Authors
3
Name
Order
Citations
PageRank
Sunyoung Kim146138.82
Jennifer Mankoff22727230.05
Eric Paulos31594149.24