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AI-Mediated Communication : = Examining Agency, Ownership, Expertise, and Roles of AI Systems.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	AI-Mediated Communication :/
其他題名:	Examining Agency, Ownership, Expertise, and Roles of AI Systems.
作者:	Mieczkowski, Hannah Nicole.
面頁冊數:	1 online resource (188 pages)
附註:	Source: Dissertations Abstracts International, Volume: 84-05, Section: B.
Contained By:	Dissertations Abstracts International84-05B.
標題:	Language. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29756350click for full text (PQDT)
ISBN:	9798357505163

AI-Mediated Communication : = Examining Agency, Ownership, Expertise, and Roles of AI Systems.
Mieczkowski, Hannah Nicole.

AI-Mediated Communication :Examining Agency, Ownership, Expertise, and Roles of AI Systems. - 1 online resource (188 pages)

Source: Dissertations Abstracts International, Volume: 84-05, Section: B.

Thesis (Ph.D.)--Stanford University, 2022.

Includes bibliographical references

AI-Mediated Communication (AI-MC) occurs when an AI system operates on behalf of an individual in communication between people. Building on literature in psychology and human-machine communication, this dissertation aimed to answer two overarching questions: 1) how do people perceive their own agency when an AI system operates on their behalf in interpersonal communication? and 2) how do people perceive the role(s) of the system under these circumstances? Through a think-aloud study, as well as an online experiment, this dissertation revealed that people strive to maintain their agency in AI-MC, and devise various strategies to do so. Additionally, perceptions of ownership over interpersonal messages are likely just as important as maintaining one's agency in AI-MC. Moreover, even though AI systems can play many roles in a communication task, people view them as social actors instead of as extensions of the self, which impacts how they attribute agency, perceive ownership over messages, and behave in human-AI interactions. Lastly, people show increased reliance on the AI system when they lack expertise, which underlies decreased feelings of agency and ownership, as well as changes in collaboration dynamics and linguistic features of a message. Taken together, this dissertation applies research on agency and human-AI interaction to the nascent study of AI-MC. The results provide insights into the effects of AI-involvement and topical expertise on people's perceptions and behaviors, as well as how they think about the roles of AI systems.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798357505163Subjects--Topical Terms:

643551
Language.
Index Terms--Genre/Form:

542853
Electronic books.

AI-Mediated Communication : = Examining Agency, Ownership, Expertise, and Roles of AI Systems.
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520 $a AI-Mediated Communication (AI-MC) occurs when an AI system operates on behalf of an individual in communication between people. Building on literature in psychology and human-machine communication, this dissertation aimed to answer two overarching questions: 1) how do people perceive their own agency when an AI system operates on their behalf in interpersonal communication? and 2) how do people perceive the role(s) of the system under these circumstances? Through a think-aloud study, as well as an online experiment, this dissertation revealed that people strive to maintain their agency in AI-MC, and devise various strategies to do so. Additionally, perceptions of ownership over interpersonal messages are likely just as important as maintaining one's agency in AI-MC. Moreover, even though AI systems can play many roles in a communication task, people view them as social actors instead of as extensions of the self, which impacts how they attribute agency, perceive ownership over messages, and behave in human-AI interactions. Lastly, people show increased reliance on the AI system when they lack expertise, which underlies decreased feelings of agency and ownership, as well as changes in collaboration dynamics and linguistic features of a message. Taken together, this dissertation applies research on agency and human-AI interaction to the nascent study of AI-MC. The results provide insights into the effects of AI-involvement and topical expertise on people's perceptions and behaviors, as well as how they think about the roles of AI systems.
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