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Designing Intelligent Interfaces to ...

Guo, Jiajing.

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Designing Intelligent Interfaces to Facilitate Communication in Large-Scale Live Streaming.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Designing Intelligent Interfaces to Facilitate Communication in Large-Scale Live Streaming./
作者:	Guo, Jiajing.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2022,
面頁冊數:	208 p.
附註:	Source: Dissertations Abstracts International, Volume: 83-12, Section: B.
Contained By:	Dissertations Abstracts International83-12B.
標題:	Information science. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29167275
ISBN:	9798819369043

Designing Intelligent Interfaces to Facilitate Communication in Large-Scale Live Streaming.
Guo, Jiajing.

Designing Intelligent Interfaces to Facilitate Communication in Large-Scale Live Streaming. - Ann Arbor : ProQuest Dissertations & Theses, 2022 - 208 p.

Source: Dissertations Abstracts International, Volume: 83-12, Section: B.

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

Live streaming is a type of medium that integrates video, text chat, and even more modalities to support real-time communication. It has become increasingly popular and accessible in recent years. Large-scale live streams face challenges in both real-time text chat and friendship development in the community. My dissertation explores the design space of intelligent interfaces to facilitate communication in large-scale livestreams.I conducted a qualitative interview study that investigated the motivation, practices, and challenges people face when engaging with the streamer and peer viewers on social network sites. Based on the findings, I applied the similarity-attraction effect from social psychology and proposed a subgrouping method that generates subgroups for viewers based on their similarities. Then I designed and implemented Chatbuddies, an intelligent interface that generates subgroups and interactively visualizes viewers' information.In a controlled within-subject lab experiment and an unmoderated online experiment, participants reported that chats in subgroups were easier to follow and more enjoyable than chats in a channel without subgroups. They perceived peer viewers as more attractive in a similarity-based subgroup than in random groups. This dissertation contributes to the understanding of challenges in large-scale communication and provides design implications for future AI-embedded CMC.

ISBN: 9798819369043Subjects--Topical Terms:

554358
Information science.
Subjects--Index Terms:

AI-mediated communication

Designing Intelligent Interfaces to Facilitate Communication in Large-Scale Live Streaming.
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