First impressions of a financial AI assistant: differences between high trust and low trust users.

ABSTRACT: Calibrating appropriate trust of non-expert users in artificial intelligence (AI) systems is a challenging yet crucial task. To align subjective levels of trust with the objective trustworthiness of a system, users need information about its strengths and weaknesses. The specific explanations that help individuals avoid over- or under-trust may vary depending on their initial perceptions of the system. In an online study, 127 participants watched a video of a financial AI assistant with varying degrees of decision agency. They generated 358 spontaneous text descriptions of the system and completed standard questionnaires from the Trust in Automation and Technology Acceptance literature (including perceived system competence, understandability, human-likeness, uncanniness, intention of deve

SUBMITTER: Schreibelmayr S 

PROVIDER: S-EPMC10579608 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature