Keeping country liveindigenous knowledge, mixed reality technology and economic livelihoods

Elizabeth A. Povinelli – Columbia UniversityDavid S. Lamb - CDU

Tess Lea – CDUBill Wade – CDU

Martin Nakata – University Technology Sydney

ARC Application LP100200212

Project Background

Project Aims• Examine whether ‘mixed reality technologies’ can

bridge the technology gap for the benefit of the Karrabing partners

• Investigate the multiple issues associated with using and adapting digital information technologies to support local Indigenous understandings of the form, practice, and purpose of knowledge production and acquisition

• Explore intellectual property regimes and information management systems for safeguarding Indigenous interests

• Advance scholarly understandings of the social presuppositions built into mixed reality technology and how these presuppositions interact with competing local Indigenous views of the form, practice and purpose of knowledge.

Project Phases

• Phase one – training, develop mixed reality application(s), data collection, create archive

• Phase two – testing and redesign of the application with Karrabing members

• Phase three – testing with potential end users: tourism, environmental, traditional owners

Training

Mixed Reality / AR Browser

Mixed Reality / AR Browser

Mixed Reality / QR Codes

Who owns the data?

• Democratisation of the web

• Crowdsourced

• Google Maps

• Facebook

• Maasai in Kenya and DRM

Archive Data

• Dublin Core Metadata Initiative (DCMI) ISO 15836:2009– “The mission of the Dublin Core Metadata

Initiative is to provide simple standards to facilitate the finding, sharing and management of information .”

• Main Elements: Creator, Date, Description, Format, Publisher, Relation, Rights, Source, Subject, Title, Type

• Coverage – Spatial or Temporal

Place / Coverage

• Latitude / Longitude? UTM? Cartesian Coordinates?

• Point? Line? Polygon?

• Place Name? Persian Gulf or Arabian Sea?

• “Colin lives with Auntie”

Standards for Mixed Reality

• Open ARML– Proposed October 2009– Based on KML– http://www.openarml.org/

• ?

KML

• Google supported

• Open Geospatial Community

• Stores Coordinates

• Stores Style information

• XML based (i.e. it’s easy to read)