자료유형  

 학위논문

Control Number  

0016933472

International Standard Book Number  

9798380327268

Dewey Decimal Classification Number  

020

Main Entry-Personal Name  

Sarkar, Shawon.

Publication, Distribution, etc. (Imprint  

[S.l.] : University of Washington., 2023

Publication, Distribution, etc. (Imprint  

Ann Arbor : ProQuest Dissertations & Theses, 2023

Physical Description  

1 online resource(237 p.)

General Note  

Source: Dissertations Abstracts International, Volume: 85-03, Section: B.

General Note  

Advisor: Shah, Chirag.

Dissertation Note  

Thesis (Ph.D.)--University of Washington, 2023.

Restrictions on Access Note  

This item must not be sold to any third party vendors.

Summary, Etc.  

요약Search behaviors are usually motivated by some task that prompts users into the search process. Complex tasks often initiate long, evolving, interactive search processes with shifting goals and cognitive focus at different search stages. Users' search strategies are influenced by their search motivation, encountered problems, and cognitive focus or state of knowledge at these search stages. However, existing search systems are primarily designed to optimize one request at a time, ignoring the underlying overarching task, shifting task phases and subtasks with users' cognitive focus, or even the holistic nature of a task-based search session. Although a set of descriptive and theoretical models of the search process can be found in the literature that characterizes tasks, there is a gap in research focused on exploiting dynamic task characteristics in search personalization processes. More importantly, there is a lack of support for users to complete their tasks in an adaptive, dynamic way. To address this issue, this dissertation adopts a multi-disciplinary, human-centered approach and applies a mixed-methods design-based approach to meet three broad objectives: first, develop a conceptual framework for understanding how different types of tasks trigger specific information needs that can lead to different methods and strategies for seeking different forms of information and information sources and, in the due process, identify any barriers they perceive and potential help they choose to overcome those limitations; second, apply new computational models to construct unified task representations using underlying search behavioral signals that can be transferable and functional to any task circumstances; and Third make existing search and retrieval systems more responsible and efficient to meet the changing state of users' cognitive focus during the search process by using knowledge gained about users' tasks and problems. Specifically, this dissertation aims to develop a task-information need-strategy-problem-based task representation that can be leveraged in search and retrieval models to provide task-based supports in different information formats, thus empowering users to make informed decisions about different aspects of their lives by providing information more relevant to their current task state. The result of this study is a step towards developing task-aware intelligent systems capable of supporting users at each stage of their complex task-completion process.

Subject Added Entry-Topical Term  

Information science.

Subject Added Entry-Topical Term  

Computer engineering.

Subject Added Entry-Topical Term  

Computer science.

Subject Added Entry-Topical Term  

Information technology.

Index Term-Uncontrolled  

Interactive information retrieval

Index Term-Uncontrolled  

Search tasks

Index Term-Uncontrolled  

Task modeling

Index Term-Uncontrolled  

Search behaviors

Index Term-Uncontrolled  

Users

Added Entry-Corporate Name  

University of Washington Information School

Host Item Entry  

Dissertations Abstracts International. 85-03B.

Host Item Entry  

Dissertation Abstract International

Electronic Location and Access  

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Control Number  

joongbu:640229