Paper Info
Title
Challenges and Lessons from Working with Data Collected by Crowdfunding in the Wild.
Abstract
The rise of the smartphone opens up new possibilities for researchers to observe users in everyday life situations. Researchers from diverse disciplines use in-field studies to gain new insights into user behavior and experiences. However, the collected datasets are mostly not available to the public and thus results are neither falsifiable nor reproducible. Community datasets attempt to counter this problem, i.a. by sharing the cost of the data collection. One example is the crowdfunded campaign CrowdSignals. In this paper, we report on our experiences in doing research with crowdfunded data, drawing on the example of this dataset. By "zooming into" specific aspects of the data, we juxtapose the expectations we had when co-funding the data collection with our findings when analyzing the dataset. We highlight shortcomings and benefits of crowdfunded datasets, draw lessons and discuss how future crowdsourced data collection campaigns might be improved.
Year
DOI
Venue
2018
10.1145/3267305.3267545
UbiComp '18: The 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing Singapore Singapore October, 2018
Keywords
Field
DocType
Crowdfunded Data Collection, Community Dataset, Experience Sampling, Ecological Momentary Assessment, Activity Recognition, Data Quality, Challenges, Lessons
Data science,Data collection,Everyday life,Activity recognition,Data quality,Computer science,Falsifiability,Zoom,Experience sampling method,Human–computer interaction
Conference
ISBN
Citations 
PageRank 
978-1-4503-5966-5
1
0.36
References 
Authors
5
6
Name
Order
Citations
PageRank
Anja Exler1195.95
Matthias Budde217523.08
Erik Pescara3135.77
Andrea Schankin4286.77
T. Riedel525235.74
M. Beigl62034311.09