Sean Penney

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sean Penney trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Brian Y. Lim
  2. Wai-Tat Fu
  3. Todd Kulesza
  4. Peter Pirolli
  5. Anind K. Dey

Papers from Sean Penney's perspective

Ordered by how strongly the researchers Sean Penney trusts endorse each paper. Same corpus, a different order for every researcher.

  1. How it works: a field study of non-technical users interacting with an intelligent system
  2. Why and why not explanations improve the intelligibility of context-aware intelligent systems
  3. Tell me more?: the effects of mental model soundness on personalizing an intelligent agent
  4. Some observations on mental models
  5. Association for Computational Linguistics " Why Should I Trust You? " Explaining the Predictions of Any Classifier
  6. A Survey of Real-Time Strategy Game AI Research and Competition in StarCraft
  7. Principles of Explanatory Debugging to Personalize Interactive Machine Learning
  8. Assessing demand for intelligibility in context-aware applications
  9. Interactive optimization for steering machine classification
  10. TasteWeights: a visual interactive hybrid recommender system (ACM Conference on Recommender Systems)

Their papers