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A Robot Model of OC-Spectrum Disorders: Design Framework, Implementation and First Experiments

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A Robot Model of OC-Spectrum Disorders : Design Framework, Implementation and First Experiments. / Lewis, Matthew; Canamero, Lola; Fineberg, Naomi.

In: Computational Psychiatry, Vol. 2019, No. 3, 19.06.2019, p. 40-75.

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@article{4203fd13a90943a6b581055e818ca8de,
title = "A Robot Model of OC-Spectrum Disorders: Design Framework, Implementation and First Experiments",
abstract = "Computational psychiatry is increasingly establishing itself as valuable discipline for understanding human mental disorders. However, robot models and their potential for investigating embodied and contextual aspects of mental health have been, to date, largely unexplored. In this paper, we present an initial robot model of obsessive-compulsive (OC) spectrum disorders based on an embodied motivation-based control architecture for decision making in autonomous robots. The OC family of conditions is chiefly characterized by obsessions (recurrent, invasive thoughts) and/or compulsions (an urge to carry out certain repetitive or ritualized behaviors). The design of our robot model follows and illustrates a general design framework that we have proposed to ground research in robot models of mental disorders, and to link it with existing methodologies in psychiatry, and notably in the design of animal models. To test and validate our model, we present and discuss initial experiments, results and quantitative and qualitative analysis regarding the compulsive and obsessive elements of OC-spectrum disorders. While this initial stage of development only models basic elements of such disorders, our results already shed light on aspects of the underlying theoretical model that are not obvious simply from consideration of the model.",
author = "Matthew Lewis and Lola Canamero and Naomi Fineberg",
note = "{\textcopyright} 2019 Massachusetts Institute of Technology",
year = "2019",
month = jun,
day = "19",
doi = "10.1162/cpsy_a_00025",
language = "English",
volume = "2019",
pages = "40--75",
journal = "Computational Psychiatry",
issn = "2379-6227",
publisher = "The MIT Press",
number = "3",

}

RIS

TY - JOUR

T1 - A Robot Model of OC-Spectrum Disorders

T2 - Design Framework, Implementation and First Experiments

AU - Lewis, Matthew

AU - Canamero, Lola

AU - Fineberg, Naomi

N1 - © 2019 Massachusetts Institute of Technology

PY - 2019/6/19

Y1 - 2019/6/19

N2 - Computational psychiatry is increasingly establishing itself as valuable discipline for understanding human mental disorders. However, robot models and their potential for investigating embodied and contextual aspects of mental health have been, to date, largely unexplored. In this paper, we present an initial robot model of obsessive-compulsive (OC) spectrum disorders based on an embodied motivation-based control architecture for decision making in autonomous robots. The OC family of conditions is chiefly characterized by obsessions (recurrent, invasive thoughts) and/or compulsions (an urge to carry out certain repetitive or ritualized behaviors). The design of our robot model follows and illustrates a general design framework that we have proposed to ground research in robot models of mental disorders, and to link it with existing methodologies in psychiatry, and notably in the design of animal models. To test and validate our model, we present and discuss initial experiments, results and quantitative and qualitative analysis regarding the compulsive and obsessive elements of OC-spectrum disorders. While this initial stage of development only models basic elements of such disorders, our results already shed light on aspects of the underlying theoretical model that are not obvious simply from consideration of the model.

AB - Computational psychiatry is increasingly establishing itself as valuable discipline for understanding human mental disorders. However, robot models and their potential for investigating embodied and contextual aspects of mental health have been, to date, largely unexplored. In this paper, we present an initial robot model of obsessive-compulsive (OC) spectrum disorders based on an embodied motivation-based control architecture for decision making in autonomous robots. The OC family of conditions is chiefly characterized by obsessions (recurrent, invasive thoughts) and/or compulsions (an urge to carry out certain repetitive or ritualized behaviors). The design of our robot model follows and illustrates a general design framework that we have proposed to ground research in robot models of mental disorders, and to link it with existing methodologies in psychiatry, and notably in the design of animal models. To test and validate our model, we present and discuss initial experiments, results and quantitative and qualitative analysis regarding the compulsive and obsessive elements of OC-spectrum disorders. While this initial stage of development only models basic elements of such disorders, our results already shed light on aspects of the underlying theoretical model that are not obvious simply from consideration of the model.

U2 - 10.1162/cpsy_a_00025

DO - 10.1162/cpsy_a_00025

M3 - Article

VL - 2019

SP - 40

EP - 75

JO - Computational Psychiatry

JF - Computational Psychiatry

SN - 2379-6227

IS - 3

ER -