How Mock Model Training Enhances User Perceptions of AI Systems
How Mock Model Training Enhances User Perceptions of AI Systems
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发表时间：
2021-11
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通讯作者：
Amama Mahmood;G. Ajaykumar;Chien-Ming Huang
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作者：
Amama Mahmood;G. Ajaykumar;Chien-Ming Huang
人工智能（AI）是我们日常技术使用的一个组成部分，并且很可能成为新兴技术的关键组成部分。然而，负面的用户先入之见可能会阻碍基于人工智能的决策的采用。之前的工作强调了透明度和可解释性等因素在改善用户对人工智能的认知方面的潜力。我们进一步致力于改善用户对人工智能的认知，证明通过模拟模型训练让用户参与循环可以提高他们对人工智能代理能力的认知，以及他们对使用人工智能代理技术的可能性的舒适度。
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.