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Evidence Humans Provide When Explaining Data-Labeling Decisions

This repository contains the following items for the research paper Judah Newman, Bowen Wang, Valerie Zhao, Amy Zeng, Michael L. Littman, Blase Ur. Evidence Humans Provide When Explaining Data-Labeling Decisions. INTERACT 2019:

  • studyinstrument.pdf: The study instrument for the human-subject study
  • A userstudy folder containing the images and data from our user study. The user study data includes the following files:
    • crossroads_responses.csv - answers to questions about the crossroads photos
    • eating_responses.csv - answers to questions about the eating photos
    • nightstand_responses.csv - answers to questions about the nighstand photos
    • old_responses.csv - answers to questions about the old photos
    • End_of_Study_responses.csv - answers to questions at the end of the survey
  • A dataexperiment folder containing the Python code, data, and figures from our data experiment

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Data release for the following paper: Judah Newman, Bowen Wang, Valerie Zhao, Amy Zeng, Michael L. Littman, Blase Ur. Evidence Humans Provide When Explaining Data-Labeling Decisions. Proceedings of the 17th IFIP TC.13 International Conference on Human-Computer Interaction (INTERACT), 2019.

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