Mapping interviews with open source technologies Dr. Chris McDowall Landcare Research FOSS4G, Sydney Oct 23, 2009.

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Presentation transcript:

Mapping interviews with open source technologies Dr. Chris McDowall Landcare Research FOSS4G, Sydney Oct 23, 2009

geography making stuff + knowledge representation stuff that interests me

context system thoughts

[ some context ]

Qualitative research is hard

After participating in interviews, two things became clear …

Important material is lost

Audio is hard to analyse and search

So, this is what I did …

[ early experiments ]

Embed media in interactive map User interface offers guided narrative and exploration

Good way to share and contextualise stories Content creation is time consuming and costly

Does not address our interview problems

I kept stumbling across clues on the web …

An idea started forming …

[ the system ]

Interview snippet Place nameGeo-location

265 Queen Street, Auckland 1010, New Zealand POINT( , )

Build a system based on { audio, placename, location } that answers questions like …

“Take me to the bit when she talked about Rawene” “Show me all interviews that mention Taupo” “Make me a map of the interview”

SQLite OpenLayers

Create a new interview

Navigate to region of interest. Sync audio recording with the app …

… and begin

Markers are time-stamped, reverse-geocoded and sent to the database

The system also recognises freehand lines

Lines and markers remember what zoom level the map was at when they were created

When you’re finished, upload the mp3 file …

… and you have a map where audio is synced to gestures

Selecting markers on map or list controls the audio playback

Map centers and zooms to focus

… and lines too

[ whiteboard ]

terracode.com

[ some thoughts ]

This is an alpha system Untested in a real interview Next steps: testing, refine interface, control map with player enhanced search

How should the system …. assign names to lines?. handle multi-part lines? (e.g. arrows). balance ease of use with flexible options?

search: audio geotagging Thank you Chris McDowall – Landcare Research