語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Towards Socially Assistive Robot Sup...
~
Swift-Spong, Katelyn.
FindBook
Google Book
Amazon
博客來
Towards Socially Assistive Robot Support Methods for Physical Activity Behavior Change.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Towards Socially Assistive Robot Support Methods for Physical Activity Behavior Change./
作者:
Swift-Spong, Katelyn.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2019,
面頁冊數:
130 p.
附註:
Source: Dissertations Abstracts International, Volume: 81-12.
Contained By:
Dissertations Abstracts International81-12.
標題:
Computer science. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27809968
ISBN:
9781392833988
Towards Socially Assistive Robot Support Methods for Physical Activity Behavior Change.
Swift-Spong, Katelyn.
Towards Socially Assistive Robot Support Methods for Physical Activity Behavior Change.
- Ann Arbor : ProQuest Dissertations & Theses, 2019 - 130 p.
Source: Dissertations Abstracts International, Volume: 81-12.
Thesis (Ph.D.)--University of Southern California, 2019.
This item must not be sold to any third party vendors.
Socially assistive robot (SAR) systems have the potential to support the complex process of human behavior change by providing social support such as feedback and encouragement at opportune times. This dissertation presents a framework for SAR behavior change support in the context of physical activity behavior. This framework is designed around the goal of creating lasting behavior change that extends past the SAR interaction. Within this framework, the robot is equipped with one or more SAR physical activity behavior change support methods designed to affect a specific mechanism of behavior change.This dissertation develops the design of SAR feedback, backstory, and messaging support methods for physical activity behavior change. These three methods were each designed to support a different mechanism of achieving behavior change by leveraging the robot's relational and support capabilities. Feedback was designed to support a user's beliefs about their ability to perform a physical activity task. Robot backstory was designed to increase the robot's ability to provide social support, and messaging was designed to increase the user's positive feelings towards the physical activity. These three support methods are evaluated in real-world physical activity domains with a fully autonomous SAR systems. The feedback support method is evaluated in the domain of post-stroke rehabilitation, and the backstory and messaging support methods are evaluated in the domain of adolescent exercise.Reminder and social reward decision making is also developed as a SAR physical activity behavior change support method using a model of SAR habit formation support. This model formalizes the SAR sequential decision making task of determining when to give reminders and social rewards towards the goal of supporting the formation of a new desired habit. Habits are formed when the occurrence of a cue is followed by a desired behavior, and that combination is reinforced repeatedly over time. The model of habit formation support enables a robot to intervene in this process. This model is evaluated in the domain of reducing older adult sedentary behavior through a two-week in-home SAR intervention. The robot was able to generate a high level of reminder adherence in this setting.In this work, four SAR physical activity behavior change support methods were developed and evaluated in three different physical activity domains with fully autonomous SAR systems. This dissertation contributes to understanding the methods a robot could use to support behavior change in a variety of physical activity domains both in situ within the context of the behavior in everyday life and outside of that context.
ISBN: 9781392833988Subjects--Topical Terms:
523869
Computer science.
Subjects--Index Terms:
Assistive robots
Towards Socially Assistive Robot Support Methods for Physical Activity Behavior Change.
LDR
:03767nmm a2200325 4500
001
2272111
005
20201102111708.5
008
220629s2019 ||||||||||||||||| ||eng d
020
$a
9781392833988
035
$a
(MiAaPQ)AAI27809968
035
$a
(MiAaPQ)US_Calif_153735
035
$a
AAI27809968
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
Swift-Spong, Katelyn.
$3
3549536
245
1 0
$a
Towards Socially Assistive Robot Support Methods for Physical Activity Behavior Change.
260
1
$a
Ann Arbor :
$b
ProQuest Dissertations & Theses,
$c
2019
300
$a
130 p.
500
$a
Source: Dissertations Abstracts International, Volume: 81-12.
500
$a
Advisor: Mataric, Maja J.
502
$a
Thesis (Ph.D.)--University of Southern California, 2019.
506
$a
This item must not be sold to any third party vendors.
520
$a
Socially assistive robot (SAR) systems have the potential to support the complex process of human behavior change by providing social support such as feedback and encouragement at opportune times. This dissertation presents a framework for SAR behavior change support in the context of physical activity behavior. This framework is designed around the goal of creating lasting behavior change that extends past the SAR interaction. Within this framework, the robot is equipped with one or more SAR physical activity behavior change support methods designed to affect a specific mechanism of behavior change.This dissertation develops the design of SAR feedback, backstory, and messaging support methods for physical activity behavior change. These three methods were each designed to support a different mechanism of achieving behavior change by leveraging the robot's relational and support capabilities. Feedback was designed to support a user's beliefs about their ability to perform a physical activity task. Robot backstory was designed to increase the robot's ability to provide social support, and messaging was designed to increase the user's positive feelings towards the physical activity. These three support methods are evaluated in real-world physical activity domains with a fully autonomous SAR systems. The feedback support method is evaluated in the domain of post-stroke rehabilitation, and the backstory and messaging support methods are evaluated in the domain of adolescent exercise.Reminder and social reward decision making is also developed as a SAR physical activity behavior change support method using a model of SAR habit formation support. This model formalizes the SAR sequential decision making task of determining when to give reminders and social rewards towards the goal of supporting the formation of a new desired habit. Habits are formed when the occurrence of a cue is followed by a desired behavior, and that combination is reinforced repeatedly over time. The model of habit formation support enables a robot to intervene in this process. This model is evaluated in the domain of reducing older adult sedentary behavior through a two-week in-home SAR intervention. The robot was able to generate a high level of reminder adherence in this setting.In this work, four SAR physical activity behavior change support methods were developed and evaluated in three different physical activity domains with fully autonomous SAR systems. This dissertation contributes to understanding the methods a robot could use to support behavior change in a variety of physical activity domains both in situ within the context of the behavior in everyday life and outside of that context.
590
$a
School code: 0208.
650
4
$a
Computer science.
$3
523869
650
4
$a
Robotics.
$3
519753
653
$a
Assistive robots
690
$a
0984
690
$a
0771
710
2
$a
University of Southern California.
$3
700129
773
0
$t
Dissertations Abstracts International
$g
81-12.
790
$a
0208
791
$a
Ph.D.
792
$a
2019
793
$a
English
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27809968
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9424345
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入