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Trust has emerged as a key factor in people's interactions with AI-infusedsystems. Yet, little is known about what models of trust have been used and forwhat systems: robots, virtual characters, smart vehicles, decision aids, orothers. Moreover, there is yet no known standard approach to measuring trust inAI. This scoping review maps out the state of affairs on trust in human-AIinteraction (HAII) from the perspectives of models, measures, and methods.Findings suggest that trust is an important and multi-faceted topic of studywithin HAII contexts. However, most work is under-theorized and under-reported,generally not using established trust models and missing details about methods,especially Wizard of Oz. We offer several targets for systematic review work aswell as a research agenda for combining the strengths and addressing theweaknesses of the current literature.

Trust in Human-AI Interaction: Scoping Out Models, Measures, and Methods