ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-5, 65-72, 2016
https://doi.org/10.5194/isprs-annals-III-5-65-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
06 Jun 2016
A RADICAL COLLABORATIVE APPROACH: DEVELOPING A MODEL FOR LEARNING THEORY, HUMAN-BASED COMPUTATION AND PARTICIPANT MOTIVATION IN A ROCK-ART HERITAGE APPLICATION
R. Haubt PERAHU, School of Humanities, Griffith University, 4222 Southport, Australia
Keywords: rock art, cultural heritage, collaboration, human-based computation, crowd sourcing 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.
Conference paper (PDF, 1212 KB)


Citation: Haubt, R.: A RADICAL COLLABORATIVE APPROACH: DEVELOPING A MODEL FOR LEARNING THEORY, HUMAN-BASED COMPUTATION AND PARTICIPANT MOTIVATION IN A ROCK-ART HERITAGE APPLICATION, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-5, 65-72, https://doi.org/10.5194/isprs-annals-III-5-65-2016, 2016.

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