Title |
Smart Phone, Smart Science: How the Use of Smartphones Can Revolutionize Research in Cognitive Science
|
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Published in |
PLOS ONE, September 2011
|
DOI | 10.1371/journal.pone.0024974 |
Pubmed ID | |
Authors |
Stephane Dufau, Jon Andoni Duñabeitia, Carmen Moret-Tatay, Aileen McGonigal, David Peeters, F.-Xavier Alario, David A. Balota, Marc Brysbaert, Manuel Carreiras, Ludovic Ferrand, Maria Ktori, Manuel Perea, Kathy Rastle, Olivier Sasburg, Melvin J. Yap, Johannes C. Ziegler, Jonathan Grainger |
Abstract |
Investigating human cognitive faculties such as language, attention, and memory most often relies on testing small and homogeneous groups of volunteers coming to research facilities where they are asked to participate in behavioral experiments. We show that this limitation and sampling bias can be overcome by using smartphone technology to collect data in cognitive science experiments from thousands of subjects from all over the world. This mass coordinated use of smartphones creates a novel and powerful scientific "instrument" that yields the data necessary to test universal theories of cognition. This increase in power represents a potential revolution in cognitive science. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 15 | 19% |
United Kingdom | 6 | 8% |
France | 2 | 3% |
Canada | 2 | 3% |
Netherlands | 1 | 1% |
Australia | 1 | 1% |
Germany | 1 | 1% |
India | 1 | 1% |
Belgium | 1 | 1% |
Other | 5 | 6% |
Unknown | 44 | 56% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 58 | 73% |
Scientists | 14 | 18% |
Practitioners (doctors, other healthcare professionals) | 4 | 5% |
Science communicators (journalists, bloggers, editors) | 2 | 3% |
Unknown | 1 | 1% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 10 | 3% |
United States | 6 | 2% |
Netherlands | 5 | 1% |
France | 4 | 1% |
Germany | 4 | 1% |
Canada | 3 | <1% |
Brazil | 3 | <1% |
Spain | 2 | <1% |
Australia | 2 | <1% |
Other | 15 | 4% |
Unknown | 307 | 85% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 71 | 20% |
Researcher | 61 | 17% |
Student > Master | 53 | 15% |
Student > Bachelor | 30 | 8% |
Professor > Associate Professor | 29 | 8% |
Other | 83 | 23% |
Unknown | 34 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 122 | 34% |
Computer Science | 48 | 13% |
Social Sciences | 31 | 9% |
Medicine and Dentistry | 22 | 6% |
Linguistics | 18 | 5% |
Other | 71 | 20% |
Unknown | 49 | 14% |