Product adaptivity through movement analysis: the case of the intelligent walk-in closet


In this paper we investigate the use of human movement qualities and the design of intelligent products. Our future products and systems are envisioned to become context-aware and adaptive. The design of these adaptive products brings new opportunities to the design of interactive products. Self-adaptivity of products depends on their ability to learn through interaction with the user. We explored a research-through-design process that revolves around a product which is able to interpret human movement qualities. In our approach we integrated three fields: Laban Movement Analysis, neural learning and interactive product design. In this paper, we explain our approach to design adaptive interactive products, and describe the resulting walk-in closet research platform. We present the choices and findings, show results of initial user-testing of the prototype, discuss the open questions that this innovative design approach raised, and further research possibilities.

Proceedings of the 4th International Conference on Design and Semantics of Form and Movement (DeSForM 2009), Taipei, Taiwan (pp. 114–121). Eindhoven, The Netherlands: Koninklijke Philips N.V.
Martijn ten Bhömer
Martijn ten Bhömer
Co-founder & CTO

Specialized in the design, research and development of intelligent products.