What is it about?
We examined how different levels of information influence users' experience of traceability. The evaluated system is used for automated diabetes therapy and can automatically calculate the amount of insulin needed. We found, that more information does not support users in making better predictions about the intelligent system. However, they reported higher transparency.
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Why is it important?
Understanding how users experience AI systems is important because they maybe over-rely on them or are too skeptical to make good use of them. By studying how information levels influence user experience, we can form hypotheses about user behavior based on the information communicated.
Perspectives
As a person with diabetes, writing this article was a great honor for me. It is important to understand how automated medical delivery influences us on a cognitive level, to support users to feel safe when they rely on technology.
Tim Schrills
Universitat zu Lubeck
Read the Original
This page is a summary of: How Do Users Experience Traceability of AI Systems? Examining Subjective Information Processing Awareness in Automated Insulin Delivery (AID) Systems, ACM Transactions on Interactive Intelligent Systems, December 2023, ACM (Association for Computing Machinery),
DOI: 10.1145/3588594.
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