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Machine Gaze: Self-Identification Through Play With a computer Vision-Based Projection and Robotics System

Children begin to develop self-awareness when they associate images and abilities with themselves. Such “construction of self” continues throughout adult life as we constantly cycle through different forms of self-awareness, seeking, to redefine ourselves. Modern technologies like screens and artifi...

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Autores principales: LC, RAY, Alcibar, Aaliyah, Baez, Alejandro, Torossian, Stefanie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7805933/
https://www.ncbi.nlm.nih.gov/pubmed/33501342
http://dx.doi.org/10.3389/frobt.2020.580835
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author LC, RAY
Alcibar, Aaliyah
Baez, Alejandro
Torossian, Stefanie
author_facet LC, RAY
Alcibar, Aaliyah
Baez, Alejandro
Torossian, Stefanie
author_sort LC, RAY
collection PubMed
description Children begin to develop self-awareness when they associate images and abilities with themselves. Such “construction of self” continues throughout adult life as we constantly cycle through different forms of self-awareness, seeking, to redefine ourselves. Modern technologies like screens and artificial intelligence threaten to alter our development of self-awareness, because children and adults are exposed to machines, tele-presences, and displays that increasingly become part of human identity. We use avatars, invent digital lives, and augment ourselves with digital imprints that depart from reality, making the development of self-identification adjust to digital technologies that blur the boundary between us and our devices. To empower children and adults to see themselves and artificially intelligent machines as separately aware entities, we created the persona of a salvaged supermarket security camera refurbished and enhanced with the power of computer vision to detect human faces, and project them on a large-scale 3D face sculpture. The surveillance camera system moves its head to point to human faces at times, but at other times, humans have to get its attention by moving to its vicinity, creating a dynamic where audiences attempt to see their own faces on the sculpture by gazing into the machine's eye. We found that audiences began attaining an understanding of machines that interpret our faces as separate from our identities, with their own agendas and agencies that show by the way they serendipitously interact with us. The machine-projected images of us are their own interpretation rather than our own, distancing us from our digital analogs. In the accompanying workshop, participants learn about how computer vision works by putting on disguises in order to escape from an algorithm detecting them as the same person by analyzing their faces. Participants learn that their own agency affects how machines interpret them, gaining an appreciation for the way their own identities and machines' awareness of them can be separate entities that can be manipulated for play. Together the installation and workshop empower children and adults to think beyond identification with digital technology to recognize the machine's own interpretive abilities that lie separate from human being's own self-awareness.
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spelling pubmed-78059332021-01-25 Machine Gaze: Self-Identification Through Play With a computer Vision-Based Projection and Robotics System LC, RAY Alcibar, Aaliyah Baez, Alejandro Torossian, Stefanie Front Robot AI Robotics and AI Children begin to develop self-awareness when they associate images and abilities with themselves. Such “construction of self” continues throughout adult life as we constantly cycle through different forms of self-awareness, seeking, to redefine ourselves. Modern technologies like screens and artificial intelligence threaten to alter our development of self-awareness, because children and adults are exposed to machines, tele-presences, and displays that increasingly become part of human identity. We use avatars, invent digital lives, and augment ourselves with digital imprints that depart from reality, making the development of self-identification adjust to digital technologies that blur the boundary between us and our devices. To empower children and adults to see themselves and artificially intelligent machines as separately aware entities, we created the persona of a salvaged supermarket security camera refurbished and enhanced with the power of computer vision to detect human faces, and project them on a large-scale 3D face sculpture. The surveillance camera system moves its head to point to human faces at times, but at other times, humans have to get its attention by moving to its vicinity, creating a dynamic where audiences attempt to see their own faces on the sculpture by gazing into the machine's eye. We found that audiences began attaining an understanding of machines that interpret our faces as separate from our identities, with their own agendas and agencies that show by the way they serendipitously interact with us. The machine-projected images of us are their own interpretation rather than our own, distancing us from our digital analogs. In the accompanying workshop, participants learn about how computer vision works by putting on disguises in order to escape from an algorithm detecting them as the same person by analyzing their faces. Participants learn that their own agency affects how machines interpret them, gaining an appreciation for the way their own identities and machines' awareness of them can be separate entities that can be manipulated for play. Together the installation and workshop empower children and adults to think beyond identification with digital technology to recognize the machine's own interpretive abilities that lie separate from human being's own self-awareness. Frontiers Media S.A. 2020-12-17 /pmc/articles/PMC7805933/ /pubmed/33501342 http://dx.doi.org/10.3389/frobt.2020.580835 Text en Copyright © 2020 LC, Alcibar, Baez and Torossian. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Robotics and AI
LC, RAY
Alcibar, Aaliyah
Baez, Alejandro
Torossian, Stefanie
Machine Gaze: Self-Identification Through Play With a computer Vision-Based Projection and Robotics System
title Machine Gaze: Self-Identification Through Play With a computer Vision-Based Projection and Robotics System
title_full Machine Gaze: Self-Identification Through Play With a computer Vision-Based Projection and Robotics System
title_fullStr Machine Gaze: Self-Identification Through Play With a computer Vision-Based Projection and Robotics System
title_full_unstemmed Machine Gaze: Self-Identification Through Play With a computer Vision-Based Projection and Robotics System
title_short Machine Gaze: Self-Identification Through Play With a computer Vision-Based Projection and Robotics System
title_sort machine gaze: self-identification through play with a computer vision-based projection and robotics system
topic Robotics and AI
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7805933/
https://www.ncbi.nlm.nih.gov/pubmed/33501342
http://dx.doi.org/10.3389/frobt.2020.580835
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