The Role of Domain Expertise in User Trust and the Impact of First Impressions with Intelligent Systems

Understand

Domain-specific intelligent systems are meant to help system users in their decision-making process.

• Many systems aim to simultaneously support different users with varying levels of domain expertise, but prior domain knowledge can affect user trust and confidence in detecting system errors.
• While it is also known that user trust can be influenced by first impressions with intelligent systems, our research explores the relationship between ordering bias and domain expertise when encountering errors in intelligent systems.
• In this paper, we present a controlled user study to explore the role of domain knowledge in establishing trust and susceptibility to the influence of first impressions on user trust.