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  1. Examining how information enters, travels and leaves the intelligence community ecosystem

    Article • Analytics, June 2023, MDPI AG

    Jeremy Block

  2. On the Importance of User Backgrounds and Impressions: Lessons Learned from Interactive AI Applications

    Article • ACM Transactions on Interactive Intelligent Systems, December 2022, ACM (Association for Computing Machinery)

    Jeremy Block

  3. Effects of data coverage or interaction history on new users' ability to pick up an initial analysis

    Article • IEEE Transactions on Visualization and Computer Graphics, January 2022, Institute of Electrical & Electronics Engineers (IEEE)

    Jeremy Block

  4. Explainable activity recognition in videos: Lessons learned

    Article • Applied AI Letters, December 2021, Wiley

    Jeremy Block

  5. Anchoring Bias Affects Mental Model Formation and User Reliance in Explainable AI Systems

    Article • April 2021, ACM (Association for Computing Machinery)

    Jeremy Block

  6. Validating human expectations of artificial intelligence explanations.

    Article • April 2021, ACM (Association for Computing Machinery)

    Jeremy Block

  7. Micro-entries: Encouraging Deeper Evaluation of Mental Models Over Time for Interactive Data Systems

    Article • October 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Jeremy Block

  8. Investigating the Importance of First Impressions and Explainable AI with Interactive Video Analysis

    Article • April 2020, ACM (Association for Computing Machinery)

    Jeremy Block

  9. How do Unity and Unreal compare in classrooms teaching game development?

    Article • June 2017, ACM (Association for Computing Machinery)

    Jeremy Block