%0 Computer Program
%A Mehrotra, Siddharth
%A Centeio Jorge, Carolina
%A Jonker, C.M. (Catholijn)
%A Tielman, Myrthe
%D 2024
%T Code underlying the publication: Integrity-based Explanations for Fostering Appropriate Trust in AI Agents
%U 
%R 10.4121/bb0d42f4-a98d-4ae6-8043-2d3756b035ad.v1
%K Integrity
%K appropriate trust
%K explanations
%K AI agent
%X <p>This repository includes the software code that was developed for the publication titled "Integrity-based Explanations for Fostering Appropriate Trust in AI Agents".</p><p></p><ul><li><strong>Research Objective</strong>: How does the expression of different principles of integrity through explanation affect the appropriateness of human’s trust in the AI agent?</li><li><strong>Type of research</strong>: Empirical</li><li><strong>Code Environment</strong>: Microsoft Power Platform - Power Apps</li><li><strong>Type of Code</strong>: Power Apps Solution. Solutions are the mechanism for implementing application lifecycle management (ALM) in Power Apps.</li><li><strong>Method of data collection: </strong>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).</li></ul><p></p><p></p><p></p>
%I 4TU.ResearchData