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Understanding and improving information search a cognitive approach /
This edited book adopts a cognitive perspective to provide breadth and depth to state-of-the-art research related to understanding, analyzing, predicting and improving one of the most prominent and important classes of behavior of modern humans, information search. It is timely as the broader resear...
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Corporate Author: | |
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Other Authors: | , |
Format: | eBook |
Language: | English |
Published: |
Cham :
Springer,
2020.
Cham : 2020. |
Series: | Human-computer interaction series.
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Physical Description: |
1 online resource (286 pages). |
Subjects: | |
Online Access: | SpringerLink - Click here for access |
Contents:
- Introduction
- Section I: Foundation and Background
- Challenges for a Computational Cognitive Psychology for the New Digital Ecosystem
- How Cognitive Computational Models can Improve Information Search
- Cognitive Modeling of Age & Domain Knowledge Differences in Information Search
- Section II: Methods and Tools
- An Evolving Perspective to Capture Individual Differences Related to Fluid and Crystallized Abilities in Information Searching with a Search Engine
- Semantic Relevance Feedback on Queries and Search Results for Younger and Older Adults
- Designing Multistage Search Systems to Support the Information Seeking Process
- Search Support Tools
- Eye-Tracking Information Search
- Section III: Areas of Applications
- Childrens Acquisition of Text Search Strategies: The Role of Task Models and Relevance Processes
- Training and Tools to Foster Source Credibility Evaluation During Web Search
- Computer-Supported Collaborative Information Search for Geopolitical Forecasting
- Conversational Interfaces For Information Search.