Code underlying the publication: Integrity-based Explanations for Fostering Appropriate Trust in AI Agents

This repository includes the software code that was developed for the publication titled "Integrity-based Explanations for Fostering Appropriate Trust in AI Agents".<br><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?<strong>Type of research</strong>: Empirical<strong>Code Environment</strong>: Microsoft Power Platform - Power Apps<strong>Type of Code</strong>: Power Apps Solution. Solutions are the mechanism for implementing application lifecycle management (ALM) in Power Apps.<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).<br><br><br>