Making Meaning with Machines
- Indbinding:
- Paperback
- Sideantal:
- 418
- Udgivet:
- 10. oktober 2023
- Størrelse:
- 230x152x32 mm.
- Vægt:
- 512 g.
- Ukendt - mangler pt..
Normalpris
Abonnementspris
- Rabat på køb af fysiske bøger
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
Beskrivelse af Making Meaning with Machines
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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