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Making Meaning with Machines
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Making Meaning with Machines : Somatic Strategies, Choreographic Technologies, and Notational Abstractions through a Laban/Bartenieff Lens

Book Details

Format Paperback / Softback
ISBN-10 0262546124
ISBN-13 9780262546126
Publisher MIT Press Ltd
Imprint MIT Press
Country of Manufacture GB
Country of Publication GB
Publication Date Oct 10th, 2023
Print length 418 Pages
Weight 512 grams
Dimensions 15.20 x 23.00 x 3.20 cms
Product Classification: RoboticsHuman-computer interaction
Ksh 10,250.00
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A rigorous primer in movement studies for designers, engineers, and scientists that draws on the fields of dance and robotics.

How should a gestural interface react to a “flick” versus a “dab”? Versus a “punch”? Should robots reach out to a human counterpart with a direct, telescoping action or through a circuitous arc in space? Just as different movements express the different internal states of human movers, so too can the engineered systems behind robots. In Making Meaning with Machines, Amy LaViers and Catherine Maguire offer a refreshingly embodied approach to machine design that supports the growing need to make meaning with machines by using the field of movement studies, including choreography, somatics, and notation, to engage in the process of designing expressive robots.

Drawing upon the Laban/Bartenieff tradition, LaViers and Maguire sharpen the movement analysis methodology, expanding the material through their work with machines and putting forward new conventions, such as capitalization, naming, and notation schemes, that make the embodied work more legible for academic contexts. The book includes an overview of movement studies, exercises that define the presented taxonomy and principles of movement, case studies in movement analysis of both humans and robots, and state-of-the-art research at the intersection of robotics and dance.

Making Meaning with Machines is a much-needed primer for observing, describing, and creating a wide array of movement patterns, which ultimately can help facilitate broader and better design choices for roboticists, technologists, and designers.

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