User Interaction Dataset for paper "Fine-Grained Appropriate Reliance: Human-AI Collaboration with a Multi-Step Transparent Decision Workflow for Complex Task Decomposition."

DOI:10.4121/1f9995d3-2fb3-4548-b889-fd27da3619a8.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: 10.4121/1f9995d3-2fb3-4548-b889-fd27da3619a8
Datacite citation style:
He, Gaole; Hemmer, Patrick; Vössing, Michael; Schemmer, Max; Gadiraju, Ujwal (2025): User Interaction Dataset for paper "Fine-Grained Appropriate Reliance: Human-AI Collaboration with a Multi-Step Transparent Decision Workflow for Complex Task Decomposition.". Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/1f9995d3-2fb3-4548-b889-fd27da3619a8.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Software

This repo contains all code, data, and user interfaces associated with the paper "Fine-Grained Appropriate Reliance: Human-AI Collaboration with a Multi-Step Transparent Decision Workflow for Complex Task Decomposition." It mainly contains the user interaction data within a three-step fact-checking task. We recorded user decisions in such a three-step workflow to analyze how user fine-grained appropriate reliance will affect the overall appropriate reliance.

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 - under embargo

The files in this dataset are under embargo until 2026-12-31.

Reason

This paper is still under review at TOCHI journal. We would keep the whole dataset and code repo under emabrgo before final acceptance.