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Ambient Intelligence for Scientific Discovery

Foundations, Theories, and Systems

  • Book
  • © 2005

Overview

Editors:
  1. Yang Cai

    1. Ambient Intelligence Lab, CIC-2218, Carnegie Mellon University, Pittsburgh, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 3345)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

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Table of contents (14 chapters)

  1. Front Matter

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  2. New Paradigms in Scientific Discovery

    1. Science at the Speed of Thought

      • Judith E. Devaney, S. G. Satterfield, J. G. Hagedorn, J. T. Kelso, A. P. Peskin, W. L. George et al.
      Pages 1-24

    2. Computational Biology and Language

      • Madhavi Ganapathiraju, Narayanas Balakrishnan, Raj Reddy, Judith Klein-Seetharaman
      Pages 25-47

    3. Interactive Comprehensible Data Mining

      • Andy Pryke, Russell Beale
      Pages 48-65

    4. Scientific Discovery Within Data Streams

      • Andrew J. Cowell, Sue Havre, Richard May, Antonio Sanfilippo
      Pages 66-80

  3. Ambient Cognition

    1. Shape as Memory Storage

      • Michael Leyton
      Pages 81-103

    2. Spatial Cues in 3D Visualization

      • Geoffrey S. Hubona, Gregory W. Shirah
      Pages 104-128

    3. Textual Genre Analysis and Identification

      • David Kaufer, Cheryl Geisler, Suguru Ishizaki, Pantelis Vlachos
      Pages 129-151

    4. Cognitive Artifacts in Complex Work

      • Peter H. Jones, Christopher P. Nemeth
      Pages 152-183

  4. Ambient Intelligence Systems

    1. Multi-modal Interaction in Biomedicine

      • Elena V. Zudilova, Peter M. A. Sloot
      Pages 184-201

    2. Continuous Body Monitoring

      • Jonathan Farringdon, Sarah Nashold
      Pages 202-223

    3. Ambient Diagnostics

      • Yang Cai, Gregory Li, Teri Mick, Sai Ho Chung, Binh Pham
      Pages 224-247

    4. Wireless Local Area Network Positioning

      • Ophir Tanz, Jeremy Shaffer
      Pages 248-262

    5. Behavior-Based Indoor Navigation

      • Julio Abascal, Elena Lazkano, Basilio Sierra
      Pages 263-285

    6. Ambient Intelligence Through Agile Agents

      • Gregory M. P. O’Hare, M. J. O’Grady, R. Collier, S. Keegan, D. O’Kane, R. Tynan et al.
      Pages 286-310

  5. Back Matter

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Keywords

About this book

Many difficult scientific discovery tasks can only be solved in interactive ways, by combining intelligent computing techniques with intuitive and adaptive user interfaces. It is inevitable to use human intelligence in scientific discovery systems: human eyes can capture complex patterns and relationships, along with detecting the exceptional cases in a data set; the human brain can easily manipulate perceptions to make decisions.

Ambient intelligence is about this kind of ubiquitous and autonomous human interaction with information. Scientific discovery is a process of creative perception and communication, dealing with questions like: how do we significantly reduce information while maintaining meaning, or how do we extract patterns from massive data and growing data resources.

Originating from the SIGCHI Workshop on Ambient Intelligence for Scientific Discovery, this state-of-the-art survey is organized in three parts: new paradigms in scientific discovery, ambient cognition, and ambient intelligence systems. Many chapters share common features such as interaction, vision, language, and biomedicine.

Editors and Affiliations

  • Ambient Intelligence Lab, CIC-2218, Carnegie Mellon University, Pittsburgh, USA

    Yang Cai

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