Design of a Knowledge Experience Based Environment for Museum Data Exploration and Knowledge Creation

Asystem to support and improve knowledge creation activity based on a sensor network is presented. This system aims to understand the experience of visitors to the museum and to gain learning that will lead to improved activities. The lessons learned from the visitor's experience at the museum can be interpreted in two different contexts: the visitor and the curator, but this paper deals with the curator's context. For curators, learning involves understanding the behavior/reactions of visitors to improve the museum experience through the curator's learning. The proposed system is designed to perform passive measurements to capture data about the movement of visitors on the exhibition floor along with various environmental data. The role of the system is to support curators in investigating, reasoning, and correlating data, and ultimately to the generation of useful knowledge that can be shared with colleagues. Currently, the observation components of the system are being developed, data is being collected daily at affiliated museums, and data exploration and knowledge creation environment are being developed for curators. In this paper, an example of designing an environments based on the concept of knowledge experience is presented. Evaluations of these designs are made by demonstrating possible analysis and interpretation of visitor behavior and the creation of corresponding knowledge based on the data collected. These findings provide insights on how to design systems that facilitate active knowledge creation.