Human-Centered Information Fusion.
Information fusion refers to the merging of information from disparate sources with differing conceptual, contextual and typographical representations. Rather than focusing on traditional data fusion applications which have been mainly concerned with physical military targets, this unique resource e...
Clasificación: | Libro Electrónico |
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Autor principal: | |
Otros Autores: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Norwood :
Artech House,
2010.
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Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Human-Centered Information Fusion; Table of Contents; Preface; Acknowledgments; Chapter 1 Introduction: The Changing Role ofHumans in Information Fusion; 1.1 INTRODUCTION; 1.2 TRADITIONAL VIEWS OF DATA FUSION; 1.2.1 The Department of Defense (DoD) Legacy; 1.2.2 The Joint Directors of Laboratories (JDL) Data Fusion Process Model; 1.2.3 Related Models of Data Fusion; 1.2.4 Assessment of Fusion Technology; 1.3 NEW ROLES FOR HUMANS IN DATA FUSION; 1.3.1 The Changing Landscape; 1.3.2 The Human as a Soft Sensor; 1.3.3 Hybrid Cognition; 1.3.4 Analytical Crowdsourcing; 1.4 SUMMARY; References.
- Chapter 2 Sensing the Human Landscape: Issues andOpportunities2.1 INTRODUCTION; 2.1.1 Definitions; 2.1.2 Context: Why the Current Interest?; 2.1.3 Constituencies for Human Landscape Information; 2.2 CONTRASTS; 2.2.1 Similarities Between Natural Terrain and Human Landscapes; 2.2.2 Differences Between Natural Terrain and Human Landscapes (What Google Maps Cannot Convey); 2.2.3 The Richness of the Human Landscape; 2.3 ELEMENTS OF THE HUMAN LANDSCAPE; 2.3.1 Attributes: Chosen Versus Given; 2.3.2 Attributes: Sensed by Humans Versus Sensed by Technology.
- 2.3.3 Attributes: Individual Versus Collective2.3.4 Attributes as Seen by Various Disciplines; 2.4 ISSUES IN REPRESENTING THE HUMAN LANDSCAPE; 2.4.1 Tacit Versus Explicit Knowledge; 2.4.2 Indirect Human Evidence Is Often More Reliable Than Direct Inquiry; 2.4.3 Context Is Often Equally Important as Data; 2.4.4 Representation of Time in Human Landscapes; 2.4.5 Presence of Humans as Sensors Can Change What They Observe; 2.4.6 Representing Uncertainty; 2.4.7 Unique Identifiers for Humans Versus Other Entities.
- 2.5 INFORMATION OVERLOAD AND OTHER COMPLICATIONS OFHUMAN LANDSCAPES: THE CASE OF THE STASI2.5.1 Historical Context; 2.5.2 Information Overload; 2.5.3 Consequences of Massive Surveillance; 2.6 INFORMATION FUSION AND THE HUMAN LANDSCAPE; 2.6.1 Fusion of Existing Data Sources; 2.6.2 Fusion of Emerging Data Sources; 2.7 CONCLUSION; References; Chapter 3 H-Space: Humans as Observers; 3.1 INTRODUCTION; 3.2 SOURCE CHARACTERIZATION CHALLENGES; 3.3 A FRAMEWORK FOR CHARACTERIZING OBSERVERS; 3.3.1 A Conceptual Framework; 3.3.2 Energy to Neural Activity: A Brief Survey of the Human Senses.
- 3.3.3 Attentional Focus3.3.4 Perceptual Cognition; 3.3.5 Perception of Language; 3.3.6 Language to Reporting; 3.4 SUMMARY; References; Chapter 4 Global Neighborhood Watch:The Emerging Community of Observers; 4.1 EMERGING TRENDS IN AD HOC GLOBAL OBSERVATIONS; 4.1.1 Cell Phones as Sensors and Sensor Platforms; 4.1.2 Differences Between Cell Phones and Conventional Sensors; 4.1.3 The Twitter Factor; 4.2 HUMANS AS SENSORS AND SENSOR PLATFORMS; 4.3 REPORTING MECHANISMS; 4.3.1 User-Generated Content; 4.4 CHALLENGES AND BIASES IN GROUP OBSERVATIONS; 4.5 TASKING THE COMMUNITY.