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

Martijn ten Bhömer, Emilia Barakova, Kirstin van Der Aalst, Philip Ross

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

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 languageEnglish
Title of host publicationProceedings of Design and semantics of form and movement (DeSForM 2009)
EditorsL L Chen, Loe M G Feijs, Martina Hessler, Steven Kyffin, Pei-Ling Liu, Kees Overbeeke, Kees C J Overbeeke, Bob Young
PublisherKoninklijke Philips Design
Pages114-121
Number of pages8
Publication statusPublished - 1 Oct 2009
Externally publishedYes

Keywords

  • ambient intelligence
  • adaptive products
  • human movement qualities
  • neural learning

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