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
到查詢結果
[ null ]
切換:
標籤
|
MARC模式
|
ISBD
FindBook
Google Book
Amazon
博客來
Understanding the Impact of Conversational AI on Supportive Interactions: Towards the Care (Conversational AI and Response Effects) Model.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Understanding the Impact of Conversational AI on Supportive Interactions: Towards the Care (Conversational AI and Response Effects) Model./
作者:
Ho, Annabell Suh.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2018,
面頁冊數:
199 p.
附註:
Source: Dissertations Abstracts International, Volume: 82-10, Section: B.
Contained By:
Dissertations Abstracts International82-10B.
標題:
Pain. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28330492
ISBN:
9798597029900
Understanding the Impact of Conversational AI on Supportive Interactions: Towards the Care (Conversational AI and Response Effects) Model.
Ho, Annabell Suh.
Understanding the Impact of Conversational AI on Supportive Interactions: Towards the Care (Conversational AI and Response Effects) Model.
- Ann Arbor : ProQuest Dissertations & Theses, 2018 - 199 p.
Source: Dissertations Abstracts International, Volume: 82-10, Section: B.
Thesis (Ph.D.)--Stanford University, 2018.
This item must not be sold to any third party vendors.
In supportive interactions, people reveal their negative emotions and struggles to another person, who listens and responds with the goal of relieving distress. The nature of the responses from the partner can determine how well the conversation reduces distress, with validating responses being beneficial and invalidating being harmful. Yet new dynamics may emerge, causing different effects, with a conversational AI partner, such as a chatbot, rather than another person. This dissertation has two main portions. The first is an empirical study that used an experimental design to test whether the type of response (validating vs. invalidating) and perceived identity of the partner (chatbot vs. human) changed the effects of supportive interactions. The results suggest that for one component -- proximate reactions -- only the type of response, but not the identity of the partner, mattered. The other two components -- disclosure behavior and future well-being - raised new dynamics and different outcomes depending on the partner's identity. The second part of the dissertation is the introduction of a model of partner effects (CAI vs. human) in supportive interactions based on these findings and on past work.
ISBN: 9798597029900Subjects--Topical Terms:
533714
Pain.
Subjects--Index Terms:
Supportive interactions
Understanding the Impact of Conversational AI on Supportive Interactions: Towards the Care (Conversational AI and Response Effects) Model.
LDR
:02473nmm a2200361 4500
001
2346862
005
20220706051309.5
008
241004s2018 ||||||||||||||||| ||eng d
020
$a
9798597029900
035
$a
(MiAaPQ)AAI28330492
035
$a
(MiAaPQ)STANFORDst353sf2952
035
$a
AAI28330492
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
Ho, Annabell Suh.
$3
3686060
245
1 0
$a
Understanding the Impact of Conversational AI on Supportive Interactions: Towards the Care (Conversational AI and Response Effects) Model.
260
1
$a
Ann Arbor :
$b
ProQuest Dissertations & Theses,
$c
2018
300
$a
199 p.
500
$a
Source: Dissertations Abstracts International, Volume: 82-10, Section: B.
500
$a
Advisor: Hancock, Jeffrey;Bailenson, Jeremy;Landay, James ;Reeves, Byron.
502
$a
Thesis (Ph.D.)--Stanford University, 2018.
506
$a
This item must not be sold to any third party vendors.
520
$a
In supportive interactions, people reveal their negative emotions and struggles to another person, who listens and responds with the goal of relieving distress. The nature of the responses from the partner can determine how well the conversation reduces distress, with validating responses being beneficial and invalidating being harmful. Yet new dynamics may emerge, causing different effects, with a conversational AI partner, such as a chatbot, rather than another person. This dissertation has two main portions. The first is an empirical study that used an experimental design to test whether the type of response (validating vs. invalidating) and perceived identity of the partner (chatbot vs. human) changed the effects of supportive interactions. The results suggest that for one component -- proximate reactions -- only the type of response, but not the identity of the partner, mattered. The other two components -- disclosure behavior and future well-being - raised new dynamics and different outcomes depending on the partner's identity. The second part of the dissertation is the introduction of a model of partner effects (CAI vs. human) in supportive interactions based on these findings and on past work.
590
$a
School code: 0212.
650
4
$a
Pain.
$3
533714
650
4
$a
Computers.
$3
544777
650
4
$a
Communication.
$3
524709
650
4
$a
Social psychology.
$3
520219
650
4
$a
Health psychology.
$3
548984
653
$a
Supportive interactions
653
$a
Chatbot
653
$a
Conversational partners
690
$a
0800
690
$a
0459
690
$a
0451
710
2
$a
Stanford University.
$3
754827
773
0
$t
Dissertations Abstracts International
$g
82-10B.
790
$a
0212
791
$a
Ph.D.
792
$a
2018
793
$a
English
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28330492
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
W9469300
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
(1)帳號:一般為「身分證號」;外籍生或交換生則為「學號」。 (2)密碼:預設為帳號末四碼。
帳號
.
密碼
.
請在此電腦上記得個人資料
取消
忘記密碼? (請注意!您必須已在系統登記E-mail信箱方能使用。)