User Interaction Dataset for CHI 2023 paper "Knowing About Knowing: An Illusion of Human Competence Can Hinder Appropriate Reliance on AI Systems."

DOI:10.4121/96010177-46e8-4967-9a49-fe38f0bace4e.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/96010177-46e8-4967-9a49-fe38f0bace4e

Datacite citation style

He, Gaole; Kuiper, Lucie; Gadiraju, Ujwal (2025): User Interaction Dataset for CHI 2023 paper "Knowing About Knowing: An Illusion of Human Competence Can Hinder Appropriate Reliance on AI Systems.". Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/96010177-46e8-4967-9a49-fe38f0bace4e.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Software

This repo contains all code and data associated with the paper "Knowing About Knowing: An Illusion of Human Competence Can Hinder Appropriate Reliance on AI Systems." In our study, we conducted a tutorial to mitigate the Dunning-Kruger effect. Our task is logical question answering. We provide statistical analysis to show the impact of tutorial interventions across two batches of tasks.

History

  • 2025-02-06 first online, published, posted

Publisher

4TU.ResearchData

Format

table/csv

Organizations

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Software Technology, Web Information Systems Group

DATA

To access the source code, use the following command:

git clone https://data.4tu.nl/v3/datasets/bb173377-8b33-434b-b005-0508490919cb.git "CHI2023_DKE"

Or download the latest commit as a ZIP.

Files (14)