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Attribution of Autonomy and its Role in Robotic Language Acquisition

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Attribution of Autonomy and its Role in Robotic Language Acquisition. / Foerster, Frank ; Althoefer, Kaspar.

In: AI and Society, 16.01.2021.

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@article{3cca43971f8d451e9b0c4beab5792b8e,
title = "Attribution of Autonomy and its Role in Robotic Language Acquisition",
abstract = "The false attribution of autonomy and related concepts to artificial agents that lack the attributed levels of the respective characteristic is problematic in many ways. In this article we contrast this view with a positive viewpoint that emphasizes the potential role of such false attributions in the context of robotic language acquisition. By adding emotional displays and congruent body behaviors to a child-like humanoid robot{\textquoteright}s behavioral repertoire we were able to bring na{\"i}ve human tutors to engage in so called intent interpretations. In developmental psychology, intent interpretations can be hypothesized to play a central role in the acquisition of emotion, volition, and similar autonomy-related words. The aforementioned experiments originally targeted the acquisition of linguistic negation. However, participants produced other affect- and motivation-related words with high frequencies too and, as a consequence, these entered the robot{\textquoteright}s active vocabulary. We will analyze participants{\textquoteright} non-negative emotional and volitional speech and contrast it with participants{\textquoteright} speech in a non-affective baseline scenario. Implications of these findings for robotic language acquisition in particular and artificial intelligence and robotics more generally will also be discussed.",
keywords = "Human-Robot Interaction, language acquisition, attribution of autonomy, attribution of agency",
author = "Frank Foerster and Kaspar Althoefer",
note = "{\textcopyright} The Author(s) 2021. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.",
year = "2021",
month = jan,
day = "16",
doi = "https://doi.org/10.1007/s00146-020-01114-8",
language = "English",
journal = "AI and Society",
issn = "0951-5666",
publisher = "Springer London",

}

RIS

TY - JOUR

T1 - Attribution of Autonomy and its Role in Robotic Language Acquisition

AU - Foerster, Frank

AU - Althoefer, Kaspar

N1 - © The Author(s) 2021. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

PY - 2021/1/16

Y1 - 2021/1/16

N2 - The false attribution of autonomy and related concepts to artificial agents that lack the attributed levels of the respective characteristic is problematic in many ways. In this article we contrast this view with a positive viewpoint that emphasizes the potential role of such false attributions in the context of robotic language acquisition. By adding emotional displays and congruent body behaviors to a child-like humanoid robot’s behavioral repertoire we were able to bring naïve human tutors to engage in so called intent interpretations. In developmental psychology, intent interpretations can be hypothesized to play a central role in the acquisition of emotion, volition, and similar autonomy-related words. The aforementioned experiments originally targeted the acquisition of linguistic negation. However, participants produced other affect- and motivation-related words with high frequencies too and, as a consequence, these entered the robot’s active vocabulary. We will analyze participants’ non-negative emotional and volitional speech and contrast it with participants’ speech in a non-affective baseline scenario. Implications of these findings for robotic language acquisition in particular and artificial intelligence and robotics more generally will also be discussed.

AB - The false attribution of autonomy and related concepts to artificial agents that lack the attributed levels of the respective characteristic is problematic in many ways. In this article we contrast this view with a positive viewpoint that emphasizes the potential role of such false attributions in the context of robotic language acquisition. By adding emotional displays and congruent body behaviors to a child-like humanoid robot’s behavioral repertoire we were able to bring naïve human tutors to engage in so called intent interpretations. In developmental psychology, intent interpretations can be hypothesized to play a central role in the acquisition of emotion, volition, and similar autonomy-related words. The aforementioned experiments originally targeted the acquisition of linguistic negation. However, participants produced other affect- and motivation-related words with high frequencies too and, as a consequence, these entered the robot’s active vocabulary. We will analyze participants’ non-negative emotional and volitional speech and contrast it with participants’ speech in a non-affective baseline scenario. Implications of these findings for robotic language acquisition in particular and artificial intelligence and robotics more generally will also be discussed.

KW - Human-Robot Interaction

KW - language acquisition

KW - attribution of autonomy

KW - attribution of agency

U2 - https://doi.org/10.1007/s00146-020-01114-8

DO - https://doi.org/10.1007/s00146-020-01114-8

M3 - Article

JO - AI and Society

JF - AI and Society

SN - 0951-5666

ER -