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D-Index & Metrics

Computer Science

D-Index
68
Citations
13988
World Ranking
2122
National Ranking
1068

Research.com Recognitions

  • 2017 - ACM Fellow For contributions to end-user software engineering, understanding gender biases in software, and broadening participation in computing
  • 2015 - ACM Distinguished Member

Overview

Margaret Burnett is affiliated with Oregon State University in the United States. Their research spans multiple fields, primarily within Computer Science and Social Sciences, with significant contributions in Artificial Intelligence, Sociology and Political Science, Computer Science Applications, Human-Computer Interaction, and Safety Research.

Their work has addressed topics including Explainable Artificial Intelligence (XAI), Ethics and Social Impacts of AI, Innovative Human-Technology Interaction, Digital Games and Media, Open Source Software Innovations, Technology Adoption and User Behaviour, and Gender and Technology in Education.

Burnett has published extensively, including papers such as:

  • "Gender-Inclusive HCI Research and Design: A Conceptual Review," 2020, Foundations and Trends® in Human-Computer Interaction
  • "Mental Models of Mere Mortals with Explanations of Reinforcement Learning," 2020, ACM Transactions on Interactive Intelligent Systems
  • "How Gender-Biased Tools Shape Newcomer Experiences in OSS Projects," 2020, IEEE Transactions on Software Engineering
  • "Special report: The AgAID AI institute for transforming workforce and decision support in agriculture," 2022, Computers and Electronics in Agriculture
  • ""Regular" CS × Inclusive Design = Smarter Students and Greater Diversity," 2023, ACM Transactions on Computing Education

Their frequent co-authors have included A. W. Anderson, Anita Sarma, Jonathan Dodge, Alan Fern, and Fatima Moussaoui. Burnett's work has appeared often in venues such as arXiv (Cornell University), ACM Transactions on Interactive Intelligent Systems, IEEE Software, Foundations and Trends® in Human-Computer Interaction, and Computers and Electronics in Agriculture.

Awards received by Burnett include:

  • ACM Fellow (2017) for contributions to end-user software engineering, understanding gender biases in software, and broadening participation in computing
  • ACM Distinguished Member (2015)

Best Publications

  • The state of the art in end-user software engineering

    Amy J. Ko;Robin Abraham;Laura Beckwith;Alan Blackwell

  • Principles of Explanatory Debugging to Personalize Interactive Machine Learning

    Todd Kulesza;Margaret Burnett;Weng-Keen Wong;Simone Stumpf

  • Too much, too little, or just right? Ways explanations impact end users' mental models

    Todd Kulesza;Simone Stumpf;Margaret Burnett;Sherry Yang

  • GenderMag: A Method for Evaluating Software's Gender Inclusiveness

    Margaret Burnett;Simone Stumpf;Jamie Macbeth;Stephann Makri

  • A practical guide to controlled experiments of software engineering tools with human participants

    Andrew J. Ko;Thomas D. Latoza;Margaret M. Burnett

  • Forms/3: A first-order visual language to explore the boundaries of the spreadsheet paradigm

    Margaret Burnett;John Atwood;Rebecca Walpole Djang;James Reichwein

  • A methodology for testing spreadsheets

    Gregg Rothermel;Margaret Burnett;Lixin Li;Christopher Dupuis

  • End-user software engineering

    Margaret Burnett;Curtis Cook;Gregg Rothermel

  • Tell me more?: the effects of mental model soundness on personalizing an intelligent agent

    Todd Kulesza;Simone Stumpf;Margaret Burnett;Irwin Kwan

  • Interacting meaningfully with machine learning systems: Three experiments

    Simone Stumpf;Vidya Rajaram;Lida Li;Weng-Keen Wong

  • A user-centred approach to functions in Excel

    Simon Peyton Jones;Alan Blackwell;Margaret Burnett

  • Tinkering and gender in end-user programmers' debugging

    Laura Beckwith;Cory Kissinger;Margaret Burnett;Susan Wiedenbeck

  • How Programmers Debug, Revisited: An Information Foraging Theory Perspective

    J. Lawrance;C. Bogart;M. Burnett;R. Bellamy

  • Scaling up visual programming languages

    M.M. Burnett;M.J. Baker;C. Bohus;P. Carlson

  • Programming, Problem Solving, and Self-Awareness: Effects of Explicit Guidance

    Dastyni Loksa;Amy J. Ko;Will Jernigan;Alannah Oleson

  • End-user software engineering with assertions in the spreadsheet paradigm

    Margaret Burnett;Curtis Cook;Omkar Pendse;Gregg Rothermel

  • Toward harnessing user feedback for machine learning

    Simone Stumpf;Vidya Rajaram;Lida Li;Margaret Burnett

  • Visual object-oriented programming

    Margaret M. Burnett

  • WYSIWYT testing in the spreadsheet paradigm: an empirical evaluation

    Karen J. Rothermel;Curtis R. Cook;Margaret M. Burnett;Justin Schonfeld

  • Invited research overview: end-user programming

    Brad A. Myers;Amy J. Ko;Margaret M. Burnett

Frequent Co-Authors

Gregg Rothermel
Gregg Rothermel North Carolina State University
Brad A. Myers
Brad A. Myers Carnegie Mellon University
Weng-Keen Wong
Weng-Keen Wong Oregon State University
Mary Beth Rosson
Mary Beth Rosson Pennsylvania State University
Rachel K. E. Bellamy
Rachel K. E. Bellamy IBM (United States)
Alan F. Blackwell
Alan F. Blackwell University of Cambridge
Mary Shaw
Mary Shaw Carnegie Mellon University
Elizabeth F. Churchill
Elizabeth F. Churchill Google (United States)
Alan Fern
Alan Fern Oregon State University
Martin Erwig
Martin Erwig Oregon State University

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