자료유형  

 학위논문

Control Number  

0017160795

International Standard Book Number  

9798383257616

Dewey Decimal Classification Number  

004

Main Entry-Personal Name  

Palani, Srishti.

Publication, Distribution, etc. (Imprint  

[S.l.] : University of California, San Diego., 2024

Publication, Distribution, etc. (Imprint  

Ann Arbor : ProQuest Dissertations & Theses, 2024

Physical Description  

419 p.

General Note  

Source: Dissertations Abstracts International, Volume: 86-01, Section: B.

General Note  

Advisor: Dow, Steven P.

Dissertation Note  

Thesis (Ph.D.)--University of California, San Diego, 2024.

Summary, Etc.  

요약Searching and exploring online is a part of our everyday lives - shaping how we learn, work and innovate. However, today, people are still drowning in information, with few mechanisms for managing or synthesizing large volumes of disparate information. It is a struggle to find the right information or identify relevant unknown unknowns for those who lack knowledge of a particular domain or well-defined goals. Even experts juggle dozens of disparate information silos spread out across different apps, websites, and work sessions. This is cognitively overwhelming and time-consuming, preventing people from developing a comprehensive understanding, gaining deep insights, and achieving their creative potential. This is especially true in complex creative information work like scientific research, founding a startup or innovating to protect the public during a pandemic.As the Web paradigm evolves to include Generative AI models and beyond, we are experiencing a shift in how we search, learn, work and create. With this transformation in human-AI interaction, it is important to investigate how we might present the user with the right information in the right context, the right representation, and at the right time. This thesis explores this in the context of cognitively complex information work (such as knowledge discovery, synthesis, and creativity). It presents two types of contributions: (1) Empirical studies that further our understanding of how people explore, make sense of, and create using information on the Web. The studies follow a mixed-methods approach, combining large-scale and longitudinal quantitative data analysis with in-depth qualitative inquiry. (2) Computational and interaction techniques that augment these cognitive processes by seamlessly integrating knowledge from the Web into the user's work context.Each study observes user behavior, challenges, and strategies at different stages of information exploration, sensemaking, and creative processes. Each system introduces an approach for inferring contextual signals from user-generated artifacts. For example, such as CoNotate mines an individual's unstructured artifacts for knowledge gaps and patterns to make query suggestions, InterWeave analyzes and presents suggestions in the user's evolving sensemaking structures to present suggestions, Relatedly mines existing knowledge structures on the web from previous users to present dynamic topic overviwes, and Amethyst enables users with affordances to specify and refer to personal, projectlevel, and external contexts. User evaluation studies demonstrate how these techniques, mining rich contextual signals from work done during cognitive processes, can promote information exploration, synthesis, and creativity.

Subject Added Entry-Topical Term  

Computer science.

Subject Added Entry-Topical Term  

Cognitive psychology.

Subject Added Entry-Topical Term  

Design.

Index Term-Uncontrolled  

Context-aware systems

Index Term-Uncontrolled  

Creativity

Index Term-Uncontrolled  

Generative AI

Index Term-Uncontrolled  

Information exploration

Index Term-Uncontrolled  

Sensemaking

Index Term-Uncontrolled  

Web search

Added Entry-Corporate Name  

University of California, San Diego Cognitive Science

Host Item Entry  

Dissertations Abstracts International. 86-01B.

Electronic Location and Access  

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Control Number  

joongbu:653783