A radical collaborative approach

developing a model for learning theory, human-based computation and participant motivation in a Rock-Art heritage application

R. Haubt

Research output: Contribution to journalConference paper

1 Citation (Scopus)
19 Downloads (Pure)

Abstract

This paper explores a Radical Collaborative Approach in the global and centralized Rock-Art Database project to find new ways to look at rock-art by making information more accessible and more visible through public contributions. It looks at rock-art through the Key Performance Indicator (KPI), identified with the latest Australian State of the Environment Reports to help develop a better understanding of rock-art within a broader Cultural and Indigenous Heritage context. Using a practice-led approach the project develops a conceptual collaborative model that is deployed within the RADB Management System. Exploring learning theory, human-based computation and participant motivation the paper develops a procedure for deploying collaborative functions within the interface design of the RADB Management System. The paper presents the results of the collaborative model implementation and discusses considerations for the next iteration of the RADB Universe within an Agile Development Approach.
Original languageEnglish
Pages (from-to)65-72
Number of pages8
JournalISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
VolumeIII-5
DOIs
Publication statusPublished - 2016
Externally publishedYes
EventXXIII ISPRS Congress - Prague, Czech Republic
Duration: 12 Jul 201619 Jul 2016
Conference number: 23rd

Bibliographical note

Copyright the Author(s) 2016. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Keywords

  • rock art
  • cultural heritage
  • collaboration
  • human-based computation
  • crowd sourcing

Fingerprint Dive into the research topics of 'A radical collaborative approach: developing a model for learning theory, human-based computation and participant motivation in a Rock-Art heritage application'. Together they form a unique fingerprint.

Cite this