The doi 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/bb0d42f4-a98d-4ae6-8043-2d3756b035ad

Siddharth Mehrotra; Centeio Jorge, Carolina; C.M. (Catholijn) Jonker; Tielman, Myrthe (2024): Code underlying the publication: Integrity-based Explanations for Fostering Appropriate Trust in AI Agents. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/bb0d42f4-a98d-4ae6-8043-2d3756b035ad.v1

Software

• Artificial Intelligence and Image Processing
• Information and Computing Sciences

AI agent, appropriate trust, explanations, Integrity

CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Siddharth Mehrotra , Carolina Centeio Jorge , C.M. (Catholijn) Jonker , Myrthe Tielman

This repository includes the software code that was developed for the publication titled "Integrity-based Explanations for Fostering Appropriate Trust in AI Agents".

• Research Objective: How does the expression of different principles of integrity through explanation affect the appropriateness of human’s trust in the AI agent?
• Type of research: Empirical
• Code Environment: Microsoft Power Platform - Power Apps
• Type of Code: Power Apps Solution. Solutions are the mechanism for implementing application lifecycle management (ALM) in Power Apps.
• Method of data collection: Participants were provided guest credentials to login in Power Apps platform and interact with an AI agent to estimate calories of a food plate. The AI agent provided different types of integrity-laden explanations to help the participant in estimating the calories. Data was collected regarding reliance of the participant on the AI agent in form of 0 (not relied) and 1 (relied).

• 2024-04-04 first online, published, posted

4TU.ResearchData

Microsoft PowerApps Code

Integrity-based Explanations for Fostering Appropriate Trust in AI Agents

• https://dl.acm.org/doi/10.1145/3610578

• Hybrid Intelligence Center (a 10-year programme funded by the Dutch Ministry of Education, Culture and Science through the Netherlands Organisation for Scientific Research).
• HumanE AI Network (grant code 952026) Horizon 2020

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), Department of Intelligent Systems