G Musick: Researcher — Prolific Citations Library

Explore 1 peer-reviewed study by G Musick in Explainable AI (XAI) and Human-AI Teaming (2024). Discover research powered by Prolific's participant panel.

This page lists 1 peer-reviewed paper authored or co-authored by G Musick in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.

Papers (1 of 1)

I know this looks bad, but I can explain: Understanding when AI should explain actions in human-AI teams

Authors: R Zhang, C Flathmann, G Musick, B Schelble

Year: 2024

Published in: ACM Transactions on ..., 2024 - dl.acm.org

Institution: North Carolina State University, University of North Carolina at Charlotte, University of Georgia, University of Michigan

Research Area: Explainable AI (XAI), Human-AI Teaming, Human-Computer Interaction (HCI)

Discipline: Robotics, Artificial Intelligence

Explored how AI explanations impact human trust and team effectiveness in human-AI teams, finding that explanations increase trust when AI disobeys orders but reduce trust when AI lies, with individual characteristics influencing these perceptions.

Methods: Conducted an online experiment analyzing participant responses to scenarios where AI explained its actions within a teamwork context, comparing trust in AI versus human teammates.

Key Findings: Impact of AI explanations on human trust, team effectiveness, and how these vary with teammate identity (human or AI) and participant characteristics (e.g., gender, ethical framework).

DOI: https://doi.org/10.1145/3635474

Citations: 28

Sample Size: 156