Table 1 Studies on the antecedents of trust in AI.
Category | Context | Key variables | Source |
|---|---|---|---|
Performance | Human-robot interaction | Machine intelligence (i.e., its capabilities), environmental factors | |
AI chatbots in the public sector | Response quality, timeliness in responding | ||
Transparency | News recommendation systems | Causability, explainability | |
Medical computer Vision | Explainability | ||
Representation | AI applications in service contexts | Anthropomorphism (humanness) | |
Social robots | Static facial features, dynamic features, their combinations, and related emotional expressions | ||
Speech recognition systems | Virtual agents, XAI interaction design | ||
Voice | In-vehicle assistants | Voice consistent | |
Smart speakers | Perceived voice personality | ||
Interaction | Voice assistant systems | Interaction quality | |
AI-enabled chatbots | Consumer-chatbot relationship type (virtual assistantship versus virtual friendship) | ||
Conversational assistant | Reciprocal self-disclosure | ||
Decision aid utilized in the delivery of public services | The assurance that “humans are still in the decision loop” | ||
Emotion | Supposed scenario: self-driving vehicles/autopilot, medical diagnostic aids, and personal relationship aids | Attachment style (attachment anxiety, attachment security) | |
Personal trait | An online trust game | Big five personality characteristics (e.g., openness to experience, conscientiousness) |
