English

SmartBook: AI-Assisted Situation Report Generation for Intelligence Analysts

Computation and Language 2024-05-29 v3

Abstract

Timely and comprehensive understanding of emerging events is crucial for effective decision-making; automating situation report generation can significantly reduce the time, effort, and cost for intelligence analysts. In this work, we identify intelligence analysts' practices and preferences for AI assistance in situation report generation to guide the design strategies for an effective, trust-building interface that aligns with their thought processes and needs. Next, we introduce SmartBook, an automated framework designed to generate situation reports from large volumes of news data, creating structured reports by automatically discovering event-related strategic questions. These reports include multiple hypotheses (claims), summarized and grounded to sources with factual evidence, to promote in-depth situation understanding. Our comprehensive evaluation of SmartBook, encompassing a user study alongside a content review with an editing study, reveals SmartBook's effectiveness in generating accurate and relevant situation reports. Qualitative evaluations indicate over 80% of questions probe for strategic information, and over 90% of summaries produce tactically useful content, being consistently favored over summaries from a large language model integrated with web search. The editing study reveals that minimal information is removed from the generated text (under 2.5%), suggesting that SmartBook provides analysts with a valuable foundation for situation reports

Keywords

Cite

@article{arxiv.2303.14337,
  title  = {SmartBook: AI-Assisted Situation Report Generation for Intelligence Analysts},
  author = {Revanth Gangi Reddy and Daniel Lee and Yi R. Fung and Khanh Duy Nguyen and Qi Zeng and Manling Li and Ziqi Wang and Clare Voss and Heng Ji},
  journal= {arXiv preprint arXiv:2303.14337},
  year   = {2024}
}

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Preprint

R2 v1 2026-06-28T09:33:08.787Z