Springer Series in Adaptive Environments

The Springer Series in Adaptive Environments presents cutting-edge research around spatial constructs and systems that are specifically designed to be adaptive to their surroundings and to their inhabitants. The creation and understanding of such adaptive Environments spans the expertise of multiple disciplines, from architecture to design, from materials to urban research, from wearable technologies to robotics, from data mining to machine learning and from sociology to psychology.

The focus is on the interaction between human and non-human agents, with people being both the drivers and the recipients of adaptivity embedded into environments. There is emphasis on design, from the inception to the development and to the operation of adaptive environments, while taking into account that digital technologies underpin the experimental and everyday implementations in this area.

Books in the series will be authored or edited volumes addressing a wide variety of topics related to Adaptive Environments (AEs) including:

· Interaction and inhabitation of adaptive environments

· Design to production and operation of adaptive environments

· Wearable and pervasive sensing

· Data acquisition, data mining, machine learning

· Human-robot collaborative interaction

· User interfaces for adaptive and self-learning environments

· Augmented reality/location-based interaction

· Gamification environments

· Emergent development of buildings/cities

· Environmental explorations

Holger Schnädelbach, The University of Nottingham, United Kingdom
Henriette Bier, Technical University Delft, The Netherlands
Kristof Van Laerhoven, University of Siegen, Germany

Editorial Board
Keith Green, Cornell University, USA
Justin Dirrenberger, CNAM, France
Sebastian Vehlken, Leuphana University, Germany
Jean Vanderdonkt, Université catholique de Louvain, Belgium
Mikael Wiberg, Umeå University, Sweden
Omar Khan, Buffalo University, USA
Marcus Foth, Queensland University of Technology, Australia
Ava Fatah, University College London, United Kingdom
Martin Knöll, Technical University Darmstadt, Germany
Gerd Kortuem, Technical University Delft, Netherlands
Hedda Schmidtke, University of Oregon, USA
Norbert Streitz, Smart Future Initiative, Germany
David Gerber, Arup Research, United Kingdom