Title |
The Simple Video Coder: A free tool for efficiently coding social video data
|
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Published in |
Behavior Research Methods, August 2016
|
DOI | 10.3758/s13428-016-0787-0 |
Pubmed ID | |
Authors |
Daniel Barto, Clark W. Bird, Derek A. Hamilton, Brandi C. Fink |
Abstract |
Videotaping of experimental sessions is a common practice across many disciplines of psychology, ranging from clinical therapy, to developmental science, to animal research. Audio-visual data are a rich source of information that can be easily recorded; however, analysis of the recordings presents a major obstacle to project completion. Coding behavior is time-consuming and often requires ad-hoc training of a student coder. In addition, existing software is either prohibitively expensive or cumbersome, which leaves researchers with inadequate tools to quickly process video data. We offer the Simple Video Coder-free, open-source software for behavior coding that is flexible in accommodating different experimental designs, is intuitive for students to use, and produces outcome measures of event timing, frequency, and duration. Finally, the software also offers extraction tools to splice video into coded segments suitable for training future human coders or for use as input for pattern classification algorithms. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 13% |
Hong Kong | 1 | 13% |
Unknown | 6 | 75% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 4 | 50% |
Members of the public | 3 | 38% |
Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 2% |
Unknown | 64 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 14 | 22% |
Researcher | 10 | 15% |
Student > Master | 10 | 15% |
Student > Bachelor | 4 | 6% |
Student > Doctoral Student | 4 | 6% |
Other | 12 | 18% |
Unknown | 11 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 19 | 29% |
Social Sciences | 9 | 14% |
Agricultural and Biological Sciences | 5 | 8% |
Computer Science | 4 | 6% |
Neuroscience | 3 | 5% |
Other | 8 | 12% |
Unknown | 17 | 26% |