Abstract
The software described in this paper, VideoNoter, addresses the need for tools that support annotation and retrieval of video data and organize the presentation of multiple analyses of the same data. Video is widely perceived as an important medium for psychological research, because video recording makes the fleeting particulars of human interaction available as data for detailed analysis, while retaining much of the context of the event. Though the benefits of using video data are high, the process can be prohibitively time-consuming. We have developed a prototype computer-based video analysis tool that can enhance the productivity of the video analysis process. In this paper, we report on the design and implementation of VideoNoter, and we discuss how it facilitates video data analysis.
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We thank Apple Classrooms of Tomorrow, Xerox Corporation, Steelcase Corporation, National Science Foundation, and Bellcore for their support of the VideoNoter project. Randy Trigg, Steve Bagley, and Monique Barbanson contributed to the development and maintenance of the VideoNoter software. Roy Pea and our other colleagues at the Institute for Research on Learning have contributed to the design and testing of VideoNoter.
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Roschelle, J., Goldman, S. VideoNoter: A productivity tool for video data analysis. Behavior Research Methods, Instruments, & Computers 23, 219–224 (1991). https://doi.org/10.3758/BF03203368
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DOI: https://doi.org/10.3758/BF03203368