TITLE PAGE ABSTRACT TABLE OF CONTENTS PART I. INTRODUCION 1.1 Complementarity of Science and Design 1.2 Understanding, Usefulness, and Usability 1.3 Balancing Investments in Understanding, Usefulness, and Usability PART II. DIAGNOSING THE DATA OVERLOAD PROBLEM 2.1 The Presentation of the Data Overload Challenge 2.2 Defining Data Overload 2.3 Diagnosis of Data Overload -----2.3.1 Typical “finesses” to data overload -----2.3.2 Constraints on effective solutions to data overload in supervisory control PART III. CALIBRATING RESEARCH BASE TO INTELLIGENCE ANALYSIS 3.1 Scenario Design 3.2 Analysis Methodology 3.3 Study Findings -----3.3.1 Search strategy: Sampling documents by narrowing in -----3.3.2 Basing analyses on high profit documents -----3.3.3 Impact of basing analyses on high profit documents -----3.3.4 Sources of inaccurate statements -----3.3.4.1 Relying on assumptions that did not apply -----3.3.4.2 Incorporating information that was inaccurate. -----3.3.4.3 Relying on outdated information 3.4 Developing Evaluation Criteria PART IV. EXPLORING DESIGN SEEDS 4.1 Factors Driving Commitment to a Single Design Direction 4.2 Design Seeds 4.3 Jumpstarting Design With Research Base 4.4 Animocks: Animated Fly-through Mockups 4.5 Design Seed 1: Exploratory Searching 4.6 Design Seed 2: Critiquing Search Tactics 4.7 Design Seed 3: Searching for High Profit Documents 4.7 Design Seed 4: Design Seed 4: Manipulating Text "Snippets" 4.8 Design Seed 5: Conflict and Corroboration Support 4.9 Design Seed 6: Timeline Construction Aid 4.10 Design Seed 7: Using Context-Specific Models to “Seed” Themes 4.11 Design Seed 8: Longshot Themespace Visualization 4.12 Design Seed 9: Finding Updates 4.13 Integration of Design Seeds Through Overarching Concept: Visual Narratives PART V. SUMMARY ACKNOWLEDGMENTS REFERENCES
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