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Ambient Intelligence for Scientific Discovery [electronic resource] : Foundations, Theories, and Systems / edited by Yang Cai.

Contributor(s): Cai, Yang [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Artificial Intelligence: 3345Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2005Edition: 1st ed. 2005.Description: XIV, 314 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540322634.Subject(s): Artificial intelligence | Application software | User interfaces (Computer systems) | Human-computer interaction | Database management | Computer graphics | Computer networks  | Artificial Intelligence | Computer and Information Systems Applications | User Interfaces and Human Computer Interaction | Database Management | Computer Graphics | Computer Communication NetworksAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
Contents:
New Paradigms in Scientific Discovery -- Science at the Speed of Thought -- Computational Biology and Language -- Interactive Comprehensible Data Mining -- Scientific Discovery Within Data Streams -- Ambient Cognition -- Shape as Memory Storage -- Spatial Cues in 3D Visualization -- Textual Genre Analysis and Identification -- Cognitive Artifacts in Complex Work -- Ambient Intelligence Systems -- Multi-modal Interaction in Biomedicine -- Continuous Body Monitoring -- Ambient Diagnostics -- Wireless Local Area Network Positioning -- Behavior-Based Indoor Navigation -- Ambient Intelligence Through Agile Agents.
In: Springer Nature eBookSummary: 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.
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New Paradigms in Scientific Discovery -- Science at the Speed of Thought -- Computational Biology and Language -- Interactive Comprehensible Data Mining -- Scientific Discovery Within Data Streams -- Ambient Cognition -- Shape as Memory Storage -- Spatial Cues in 3D Visualization -- Textual Genre Analysis and Identification -- Cognitive Artifacts in Complex Work -- Ambient Intelligence Systems -- Multi-modal Interaction in Biomedicine -- Continuous Body Monitoring -- Ambient Diagnostics -- Wireless Local Area Network Positioning -- Behavior-Based Indoor Navigation -- Ambient Intelligence Through Agile Agents.

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.

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