16 research outputs found

    Design labs for data-driven multivalence

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    Designing products, spaces, and services for the Everyday has become the focus of designerly research and practice over the last decade. As designers create complex systems that are space-aware, grow and dynamically morph, their tools and methods have to undergo a similar parallel transformation and extension–often towards and borrowing from technical disciplines. Current designers work with complexity and let data shape all facets and modalities of designed artifacts. This article investigates new challenges for design operating at macro, meso, and micro scales. A translational perspective is proposed together with new types of labs and design research infrastructure that address challenges and emerging needs of the design community

    Giving form to smart objects: Exploring intelligence as an interaction design material.

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    Artificial intelligence (AI) has recently been highlighted as a design material in the HCI community. This acknowledgement is a call for interaction designers to consider intelligence as a resource for design. While this view is valid and well-grounded, it brings with it a need to better understand how intelligence as a design material can be used in formgiving practices. This chapter seeks to address this need by suggesting a new approach that integrates AI in the designer's toolkit. This approach considers intelligence as being part of, and expressed through, an object's character, hereby integrating artificial intelligence into a product's form. We describe and discuss this approach by presenting and reflecting on our experiences in a design course where students were asked to give form to intelligent everyday objects in three iterative design cycles. We discuss the implications of our approach and findings within the frame of third wave HCI
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