Margaret M. Burnett
Information Systems · 2001–2017
A researcher in the Science corpus: 15 papers; trusts 33 researchers and is trusted by 31 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 57 citations into it
- Computer Vision and Pattern Recognition — 47 citations into it
- Artificial Intelligence — 43 citations into it; #6,063 of 35,345 by trust here, #3,757 by citations
- Information Systems and Management — 41 citations into it
- Human-Computer Interaction — 32 citations into it; #556 of 2,253 by trust here, #171 by citations
- Safety, Robustness & Interpretability — 24 citations into it; #896 of 2,251 by trust here, #634 by citations
- Computer Science Applications — 21 citations into it; #1,592 of 1,855 by trust here, #335 by citations
- Evaluation & Benchmarks — 11 citations into it
Whom Margaret M. Burnett trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Brian Y. Lim
- Anind K. Dey
- Todd Kulesza
- D. Norman
- Simone Stumpf
- Eric R. Ziegel
- Per Runeson
- Yiming Yang
- Gregg Rothermel
- Henry Lieberman
Who trusts Margaret M. Burnett overall
- Todd Kulesza
- Giulia Vilone
- Daniel S. Weld
- Shane T. Mueller
- Sina Mohseni
- Kacper Sokol
- Minsuk Kahng
- Piyawat Lertvittayakumjorn
- Gagan Bansal
- Tongshuang Sherry Wu
Papers from Margaret M. Burnett's perspective
Ordered by how strongly the researchers Margaret M. Burnett trusts endorse each paper. Same corpus, a different order for every researcher.
- Explaining collaborative filtering recommendations
- Design of Everyday Things
- Latent Dirichlet Allocation
- How it works: a field study of non-technical users interacting with an intelligent system
- Support-Vector Networks
- The role of trust in automation reliance
- The Elements of Statistical Learning
- WordNet: A Lexical Database for English
- C4.5: Programs for Machine Learning
- Support Vector Machine Active Learning with Applications to Text Classification
Their papers
- Tell me more?: the effects of mental model soundness on personalizing an intelligent agent (2012) — 290 citations
- Interacting meaningfully with machine learning systems: Three experiments (2009) — 225 citations
- Principles of Explanatory Debugging to Personalize Interactive Machine Learning (2015) — 692 citations
- Too much, too little, or just right? Ways explanations impact end users' mental models (2013) — 427 citations
- How the Experts Do It: Assessing and Explaining Agent Behaviors in Real-Time Strategy Games (2017) — 34 citations
- You Are the Only Possible Oracle: Effective Test Selection for End Users of Interactive Machine Learning Systems (2014) — 76 citations
- End-user programmers in trouble: Can the Idea Garden help them to help themselves? (2013) — 16 citations
- A practical guide to controlled experiments of software engineering tools with human participants (2013) — 294 citations
- Where Are My Intelligent Assistant's Mistakes? A Systematic Testing Approach (2011) — 21 citations
- Why-oriented end-user debugging of naive Bayes text classification (2011) — 99 citations
- Explanatory Debugging: Supporting End-User Debugging of Machine-Learned Programs (2010) — 115 citations
- End-User Software Engineering and Why it Matters (2010) — 17 citations
- Toward harnessing user feedback for machine learning (2007) — 180 citations
- End-user software engineering (2004) — 255 citations
- A methodology for testing spreadsheets (2001) — 182 citations