TY - DATA
T1 - Code underlying the publication: Integrity-based Explanations for Fostering Appropriate Trust in AI Agents
PY - 2024/04/04
AU - Siddharth Mehrotra
AU - Carolina Centeio Jorge
AU - C.M. (Catholijn) Jonker
AU - Myrthe Tielman
UR - 
DO - 10.4121/bb0d42f4-a98d-4ae6-8043-2d3756b035ad.v1
KW - Integrity
KW - appropriate trust
KW - explanations
KW - AI agent
N2 - <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>
ER -