ACADIA quarterly · 2016 · 22 citations · 11 references
ArtsArchitectural DesignDesignAdditive ManufacturingFashion DesignInteraction Design3D PrintingDigital Fashion DesignForm DevelopmentInterface DesignShape Memory Alloy ActuatorsTangible User InterfacesGaze TrackingMaterial Behavior ModelingMaterial Behavior SimulationMulti-material 3D PrintingMulti-material PrintingShape Memory Alloy Stiffness ControlShape-changing InterfacesShape-memory Alloy Actuation
This paper describes the design process behind Caress of the Gaze, a project that represents a new approach to the design of a gaze-actuated, 3D printed body architectureÂas a form of proto-architectural studyÂproviding a framework for an interactive dynamic design. The design process engages with three main issues. Firstly, it aims to look at form or geometry as a means of controlling material behavior by exploring the tectonic properties of multi-material 3D printing technologies. Secondly, it addresses novel actuation systems by using Shape Memory Alloy (SMA) in order to achieve life-like behavior. Thirdly, it explores the possibility of engaging with interactive systems by investigating how our clothing could interact with other people as a primary interface, using vision-based eye-gaze tracking technologies. In so doing, this paper describes a radically alternative approach not only to the production of garments but also to the ways we interact with the world around us. Therefore, the paper addresses the emerging field of shape-changing 3D printed structures and interactive systems that bridge the worlds of robotics, architecture, technology, and design.
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Active Printed Materials for Complex Self-Evolving Deformations
Dan Raviv, Wei Zhao, Carrie McKnelly et al. · Scientific Reports · 2014 · 553 citations · Full text
Biomimetics: biologically inspired technologies
Materials Today · 2006 · 488 citations · Full text
The mechanical properties of natural materials. I. Material property charts
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Natural Sciences, Materials Engineering, Materials Science +16
A direct brain interface based on event-related potentials
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