Collaborative Information Seeking〈1st ed. 2015〉 : Best Practices, New Domains and New Thoughts

著者名：Hansen, Preben (EDT)/Shah, Chirag (EDT)/Klas, Claus-Peter (EDT)

Springer（2015/09/12発売）

• 言語：ENG
• ISBN：9783319185415
• eISBN：9783319189888

Description

 Compiled by world- class leaders in the field of collaborative information retrieval and search (CIS), this book centres on the notion that information seeking is not always a solitary activity and working in collaboration to perform information-seeking tasks should be studied and supported.

Covering aspects of theories, models, and applications the book is divided in three parts:

·         Best Practices and Studies: providing an overview of current knowledge and state-of-the-art in the field.

·         New Domains: covers some of the new and exciting opportunities of applying CIS

·         New Thoughts: focuses on new research directions by scholars from academia and industry from around the world.

Collaborative Information Seeking provides a valuable reference for student, teachers, and researchers interested in the area of collaborative work, information seeking/retrieval, and human-computer interaction.

Table of Contents

Editorial.- Part I: Best Practices and Studies.- Collaborative Information Seeking - From ‘What?’ and ‘Why?’ to ‘How?’ and ‘So What?’.- Studying Collaborative Information Seeking: Experiences with Three Methods.- Situating CIS - The Importance of Context in Collaborative Information Seeking.- Procedures and Collaborative Information Seeking: A Study of Emergency Departments.- Collaborative Information Seeking in the Context of Leisure and Work Task Situations.- Part II: New Domains.- Learning through Collaborative Information Seeking.- A Proposed CIS Interface Based on the Analysis of Problem-Solving in Online Technical Support.- Collaborative Information Use with Technology.- Part III: New Thoughts.- A Probability Ranking Principle for Collaborative Search.- Affective Dimension in Collaborative Information Seeking.- Collaborative Information Seeking Around Big Data.