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NCRM Training: Drawing, multimodality and interaction analytics

November 28

As a rule, our courses cost £30 a day for UK/EU students and £60 a day for UK/EU academics, researchers or public service staff. Register for the event here.

Analysing embodied interaction enables researchers to study the qualitative details of communication and to do reliable coding of interaction for quantification. Some researchers use video stills and word processing software to add arrows and highlights. Others use simple sketches or tracings to present their research findings in their final published results. However, until now, no dedicated courses have been offered that teach drawing as a method for the transcription and analysis of social interaction.

This one-day course will introduce researchers to the theory and method of conversation analysis, and to new graphical tools, transcription methods, and software systems that are available for multimodal analysis of audio-visual data. It will involve short presentations, group discussions and practical work including video data gathering, transcription and analysis. No special equipment is required, although we encourage participants to bring some means of recording video (e.g. a phone or other digital camera).

This course is aimed at researchers across disciplines with an interest in face-to-face social interaction and communication (human or animal, face-to-face or video-mediated). No prior experience of drawing or conversation and discourse analysis is necessary, since we will cover the basics required to learn independently.

 

Learning outcomes

This course will introduce you to methods, techniques and tools for analysing embodied social interaction.

 

The course covers:

  • Conversation analytic methods for collecting, transcribing and analysing video data.
  • Drawing techniques for use in field notes and in exploratory data analysis sessions.
  • How to create and use multimodal transcripts for data analysis and presentation of results.
  • Software tools for creating and sharing computer-readable graphical transcriptions.
  • Future directions for multimodal interaction analytics e.g. automation and open science.

Details

Date:
November 28
Event Category:

Venue

London