東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

A Companion Robot for Modeling the E...

Valenti, Andrew P.

Linked to FindBook

Google Book

Amazon

博客來

A Companion Robot for Modeling the Expressive Behavior of Persons with Parkinson's Disease.

Record Type:	Electronic resources : Monograph/item
Title/Author:	A Companion Robot for Modeling the Expressive Behavior of Persons with Parkinson's Disease./
Author:	Valenti, Andrew P.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2020,
Description:	255 p.
Notes:	Source: Dissertations Abstracts International, Volume: 81-12, Section: B.
Contained By:	Dissertations Abstracts International81-12B.
Subject:	Computer science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27956786
ISBN:	9798645498436

A Companion Robot for Modeling the Expressive Behavior of Persons with Parkinson's Disease.
Valenti, Andrew P.

A Companion Robot for Modeling the Expressive Behavior of Persons with Parkinson's Disease. - Ann Arbor : ProQuest Dissertations & Theses, 2020 - 255 p.

Source: Dissertations Abstracts International, Volume: 81-12, Section: B.

Thesis (Ph.D.)--Tufts University, 2020.

This item must not be sold to any third party vendors.

Emotions are crucial for human social interactions and as such people communicate emotions through a variety of modalities: kinesthetic (through facial expressions, body posture and gestures), auditory (through the acoustic features of speech) and semantic (through the content of what they say). Sometimes however, communication channels for certain modalities can be unavailable (for example in the case of texting), and sometimes they can be compromised, for example due to a disorder such as Parkinson's disease (PD) that may affect facial, gestural and speech expressions of emotions. As a result, it is not easy for caregivers to judge how PD persons are coping with their condition. They may look as if they are unfeeling, indifferent, sad or hostile and misinterpretation of their true internal state can lead to depression. In this dissertation, we present a situated emotion expression framework which a robot can use to detect emotions in one modality, specifically in speech, and then express them in another modality, through gestures or facial expressions. This is part of a larger objective to develop a socially assistive robot for the social self-management of people with PD. The framework compensates for ambiguities in natural language, disfluencies that are often present in the speech of persons with PD, and errors in the automatic speech recognition system. More generally, the framework would be useful for any conversational AI agent and we demonstrate ways in which it can be extended to a bilingual environment. Finally, we demonstrate a model of human language processing that can be used to monitor human-level performance using a biologically-plausible model that uses dynamic neural fields.

ISBN: 9798645498436Subjects--Topical Terms:

523869
Computer science.
Subjects--Index Terms:

Assistive technologies

A Companion Robot for Modeling the Expressive Behavior of Persons with Parkinson's Disease.
LDR:02959nmm a2200385 4500 001 2269584
005 20200911122849.5
008 220629s2020 ||||||||||||||||| ||eng d
020 $a 9798645498436
035 $a (MiAaPQ)AAI27956786
035 $a AAI27956786
040 $a MiAaPQ $c MiAaPQ
100 1 $a Valenti, Andrew P. $3 3546921
245 1 0 $a A Companion Robot for Modeling the Expressive Behavior of Persons with Parkinson's Disease.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2020
300 $a 255 p.
500 $a Source: Dissertations Abstracts International, Volume: 81-12, Section: B.
500 $a Advisor: Scheutz, Matthias.
502 $a Thesis (Ph.D.)--Tufts University, 2020.
506 $a This item must not be sold to any third party vendors.
520 $a Emotions are crucial for human social interactions and as such people communicate emotions through a variety of modalities: kinesthetic (through facial expressions, body posture and gestures), auditory (through the acoustic features of speech) and semantic (through the content of what they say). Sometimes however, communication channels for certain modalities can be unavailable (for example in the case of texting), and sometimes they can be compromised, for example due to a disorder such as Parkinson's disease (PD) that may affect facial, gestural and speech expressions of emotions. As a result, it is not easy for caregivers to judge how PD persons are coping with their condition. They may look as if they are unfeeling, indifferent, sad or hostile and misinterpretation of their true internal state can lead to depression. In this dissertation, we present a situated emotion expression framework which a robot can use to detect emotions in one modality, specifically in speech, and then express them in another modality, through gestures or facial expressions. This is part of a larger objective to develop a socially assistive robot for the social self-management of people with PD. The framework compensates for ambiguities in natural language, disfluencies that are often present in the speech of persons with PD, and errors in the automatic speech recognition system. More generally, the framework would be useful for any conversational AI agent and we demonstrate ways in which it can be extended to a bilingual environment. Finally, we demonstrate a model of human language processing that can be used to monitor human-level performance using a biologically-plausible model that uses dynamic neural fields.
590 $a School code: 0234.
650 4 $a Computer science. $3 523869
650 4 $a Robotics. $3 519753
650 4 $a Occupational therapy. $3 617818
653 $a Assistive technologies
653 $a Human-robot Interaction
653 $a Multilingual robots
653 $a Parkinson's disease
653 $a Sentiment analysis
653 $a Spoken dialogue systems
690 $a 0984
690 $a 0771
690 $a 0498
710 2 $a Tufts University. $b Computer Science. $3 1026183
773 0 $t Dissertations Abstracts International $g 81-12B.
790 $a 0234
791 $a Ph.D.
792 $a 2020
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27956786