Abstract
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.
Original language | English |
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Title of host publication | Proceedings of Design and semantics of form and movement (DeSForM 2009) |
Editors | L L Chen, Loe M G Feijs, Martina Hessler, Steven Kyffin, Pei-Ling Liu, Kees Overbeeke, Kees C J Overbeeke, Bob Young |
Publisher | Koninklijke Philips Design |
Pages | 114-121 |
Number of pages | 8 |
Publication status | Published - 1 Oct 2009 |
Externally published | Yes |
Keywords
- ambient intelligence
- adaptive products
- human movement qualities
- neural learning