Code underlying the publication: Dealing with Uncertainty: Understanding the Impact of Prognostic Versus Diagnostic Tasks on Trust and Reliance in Human-AI Decision Making
4TU.ResearchDatavia 4TU.ResearchData (via DataCite) · bijgewerkt 1 juli 2024
Wat erin zit
This repository contains the interface developed to support a research project published in the following paper. The project involved an empirical study exploring how human decision-makers interact with AI systems when dealing with complex and uncertain tasks. The corresponding code for the interface and the full list of tasks are available here.Sara Salimzadeh, Gaole He, and Ujwal Gadiraju. 2024. Dealing with Uncertainty: Understanding the Impact of Prognostic Versus Diagnostic Tasks on Trust and Reliance in Human-AI Decision Making. In Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI '24). Association for Computing Machinery, New York, NY, USA, Article 25, 1–17. https://doi.org/10.1145/3613904.3641905
Bestanden en diensten
- DataCite REST API (JSON)api.datacite.orgOpenen
Vergelijkbare datasets
Dealing with uncertainty: a care-ethical, phenomenological study of people with relapsing-remitting Multiple Sclerosis (2021-2024)DANS Data Station Social Sciences and HumanitiesData underlying the publication: Dealing with Uncertainty: Understanding the Impact of Prognostic Versus Diagnostic Tasks on Trust and Reliance in Human-AI Decision Making4TU.ResearchDataSource code and data underlying the publication "Fault-tolerant modular quantum computing with surface codes using single-shot emission-based hardware"4TU.ResearchDataSoftware underlying publications: Learning-based MPC for fuel efficient control of autonomous vehicles with discrete gear selection and Reinforcement Learning with Distributed MPC for Fuel-Efficient Platoon Control with Discrete Gear Transitions4TU.ResearchDataSource code underlying the publication: Privacy-Preserving Data Aggregation with Probabilistic Range Validation4TU.ResearchDataCode underlying the publication: Robust Lane Detection Through Self Pre-Training with Masked Sequential Autoencoders and Fine-Tuning With Customized PolyLoss4TU.ResearchDataEngineering: Building with Nature 101x video #10 - Integrated Building with Nature Design Assignment.TU DelftEngineering: Building with Nature 101x video #01 - Introducing Building with Nature.TU Delft
Meer van 4TU.ResearchData6.749 datasets
Data for thesis chapter "Suitability assessment of GNN-based metamodels for BGI allocation"Code for thesis chapter "Suitability assessment of GNN-based metamodels for BGI allocation"Data and scripts underlying the dissertation: Sodium Borohydride as Granular fuel: Experimental Characterisation and DEM ModellingResearch Data and Code Supporting the PhD Dissertation: Learning Interpretable Robot Dynamics for Control — From Physical Structure to Latent CoordinatesData supporting the publication: Vision-Informed Short-Horizon Prediction for the Squeeze Flow of Soft MaterialsData underlying Chapter 3 of the PhD thesis: Organic acids and bipolar membrane electrodialysis for enhanced ammonia recovery from scrubber effluents.