國立虎尾科技大學 |

Linguistic and Gestural Adaptation.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Linguistic and Gestural Adaptation./
作者:	Hu, Zhichao.
面頁冊數:	1 online resource (134 pages)
附註:	Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Contained By:	Dissertation Abstracts International79-12B(E).
標題:	Computer science. -
電子資源:	click for full text (PQDT)
ISBN:	9780438249462

Linguistic and Gestural Adaptation.
Hu, Zhichao.

Linguistic and Gestural Adaptation. - 1 online resource (134 pages)

Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.

Thesis (Ph.D.)--University of California, Santa Cruz, 2018.

Includes bibliographical references

Human conversants in dialog adjust their behavior to their conversational partner in many ways. In terms of language, they adapt to their partners both lexically and syntactically, by using the same referring expressions or sentence structure. In terms of gesture, they mimic their partners' gestural form, frequency, expanse and speed. However, adaptation is not about simply copying dialog partners' words, syntax, and gestures. The process of adaptation to the partner takes place under other special constraints, e.g. providing coherent and informative turns in conversation, expressing one's own personality, or achieving other social and interpersonal goals. How do speakers adapt to one another and at the same time achieve their own conversational goals?

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780438249462Subjects--Topical Terms:

573171
Computer science.
Index Terms--Genre/Form:

554714
Electronic books.

Linguistic and Gestural Adaptation.
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245 1 0 $a Linguistic and Gestural Adaptation.
264 0 $c 2018
300 $a 1 online resource (134 pages)
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500 $a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
500 $a Adviser: Marilyn A. Walker.
502 $a Thesis (Ph.D.)--University of California, Santa Cruz, 2018.
504 $a Includes bibliographical references
520 $a Human conversants in dialog adjust their behavior to their conversational partner in many ways. In terms of language, they adapt to their partners both lexically and syntactically, by using the same referring expressions or sentence structure. In terms of gesture, they mimic their partners' gestural form, frequency, expanse and speed. However, adaptation is not about simply copying dialog partners' words, syntax, and gestures. The process of adaptation to the partner takes place under other special constraints, e.g. providing coherent and informative turns in conversation, expressing one's own personality, or achieving other social and interpersonal goals. How do speakers adapt to one another and at the same time achieve their own conversational goals?
520 $a In this thesis, we first carry out an exploratory study to show that adapting to different linguistic features results in different style perceptions: adapting to hedges increase perceptions of friendliness, while adapting to syntactic structures increases perceptions of naturalness. On the basis of these results, we propose an adaptation measure that allows us to capture and model adaptation behaviors that may orient to different levels or types of linguistic representations, such as lexical, syntactical, or stylistic variations in the way speakers talk. We build and compare linguistic adaptation models using our measure with four human dialog corpora, and with different feature sets to represent different levels of linguistic representations.
520 $a We also explore gestural adaptation on both particular gesture forms and gesture style. We set up our experiment in the form of two virtual gents co-telling a story. We first verify that we can express the personality of virtual agents through varying gesture parameters such as speed, height, and expanse. We then show that human subjects prefer adaptive to nonadaptive virtual agents, where the adaptive virtual agent adapts the gesture form and personality of their dialog partner.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Computer science. $3 573171
655 7 $a Electronic books. $2 local $3 554714
690 $a 0984
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a University of California, Santa Cruz. $b Computer Science. $3 1184383
773 0 $t Dissertation Abstracts International $g 79-12B(E).
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10829145 $z click for full text (PQDT)