Javier Chiyah-Garcia

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Javier Chiyah-Garcia trusts overall

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

  1. Helen Wright Hastie
  2. J. Rotter
  3. Kristin E. Schaefer
  4. Pedro Patrón
  5. Nava Tintarev
  6. Xingkun Liu
  7. Marilyn A. Walker
  8. Shirley Gregor
  9. David A. Robb
  10. Brian Y. Lim

Who trusts Javier Chiyah-Garcia overall

  1. Rafal Kocielnik
  2. Sarah Wiegreffe
  3. Helen Wright Hastie
  4. Saleema Amershi
  5. David A. Robb

Papers from Javier Chiyah-Garcia's perspective

Ordered by how strongly the researchers Javier Chiyah-Garcia trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Why and why not explanations improve the intelligibility of context-aware intelligent systems
  2. Evaluating the effectiveness of explanations for recommender systems
  3. Too much, too little, or just right? Ways explanations impact end users' mental models
  4. PARADISE: A Framework for Evaluating Spoken Dialogue Agents
  5. Explanations From Intelligent Systems: Theoretical Foundations and Implications for Practice
  6. A new scale for the measurement of interpersonal trust.
  7. The Perception And Measurement Of Human-robot Trust
  8. Association for Computational Linguistics " Why Should I Trust You? " Explaining the Predictions of Any Classifier
  9. A Neural Conversational Model
  10. The effect of presence on human-robot interaction

Their papers