JISC

Summary

Existing tools to support researchers with the analysis of video and audio recordings of interviews or behaviours are expensive, difficult to use and take a long time to learn. The ALUIAR project will improve the user interface of Synote, the open source web based video and audio annotation tool, to make it more adaptable and learnable for the analysis and coding of video or audio recordings and so support and attract non-specialist and novice users from a wide variety of disciplines with different interests and skill sets.

Objectives

The objectives are to improve the usability and learnability of the user interface of Synote, to support those researchers, non-specialist and novice users who wish to transcribe audio and video recordings with synchronised text. The main aim is to present users with an interface that is designed to work with the uploading of audio interviews and discussions such that the data can be interrogated and carry synchronised notes with codes to represent behaviours.  This is in addition to the present features that allow for annotation with search and sharing facilities.

Anticipated Outputs and Outcomes

The key output is a version of Synote that will suit researchers and offer them an easy to learn online application.  The ALUIAR version of Synote will be available as open source code for download by any university and it will allow for synchronised annotations that permit a method for coding data for use in interviews and discussion scenarios. There will be increased options for a flexible approach to uploading and working with recordings and a step by step guide to the system.