Crowd Intelligence in Intelligent Environments: A Journey from Complexity to Collectivity

Abstract

One form of complexity in intelligent environments arises from their heterogeneous nature. The growing variety of environments and countless stereotypes of users operating Intelligent Environments will, theoretically, increase the complexity and resources needed to utilise them. However we argue that utilizing Crowd Intelligence techniques in Intelligent Environments offer several advantages for dealing with these complexities. A novel architecture called a Crowd Based Heterogeneous Ambient Environment Framework (CHAMBER) is introduced, which proposes the use of hierarchical clustering to discover similarities between the infrastructures of individual Intelligent Environments, which are then offered for use by other users wishing to construct their own intelligent environments.