cff-version: 1.2.0
abstract: "<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>"
authors:
  - family-names: Mehrotra
    given-names: Siddharth
    orcid: "https://orcid.org/0000-0002-2067-3451"
  - family-names: Centeio Jorge
    given-names: Carolina
    orcid: "https://orcid.org/0000-0002-6937-5359"
  - family-names: Jonker
    given-names: C.M. (Catholijn)
    orcid: "https://orcid.org/0000-0003-4780-7461"
  - family-names: Tielman
    given-names: Myrthe
    orcid: "https://orcid.org/0000-0002-7826-5821"
title: "Code underlying the publication: Integrity-based Explanations for Fostering Appropriate Trust in AI Agents"
keywords:
version: 1
identifiers:
  - type: doi
    value: 10.4121/bb0d42f4-a98d-4ae6-8043-2d3756b035ad.v1
license: CC BY 4.0
date-released: 2024-04-04