English

How Mock Model Training Enhances User Perceptions of AI Systems

Human-Computer Interaction 2021-11-18 v1

Abstract

Artificial Intelligence (AI) is an integral part of our daily technology use and will likely be a critical component of emerging technologies. However, negative user preconceptions may hinder adoption of AI-based decision making. Prior work has highlighted the potential of factors such as transparency and explainability in improving user perceptions of AI. We further contribute to work on improving user perceptions of AI by demonstrating that bringing the user in the loop through mock model training can improve their perceptions of an AI agent's capability and their comfort with the possibility of using technology employing the AI agent.

Keywords

Cite

@article{arxiv.2111.08830,
  title  = {How Mock Model Training Enhances User Perceptions of AI Systems},
  author = {Amama Mahmood and Gopika Ajaykumar and Chien-Ming Huang},
  journal= {arXiv preprint arXiv:2111.08830},
  year   = {2021}
}

Comments

Accepted at Human Centered AI (HCAI) workshop at NeurIPS (2021)

R2 v1 2026-06-24T07:41:29.748Z