A team from Nanjing Audit University investigates how Big Five personality traits influence static and dynamic trust in AI-driven drone missions across PC and VR modalities. Using a D3QN-based UAV simulation in Unity, they measure trust before and after interaction to inform adaptive, personality-aware human–machine interface designs.

Key points

• Unity-based UAV surveillance simulation uses D3QN for autonomous path planning and obstacle avoidance.
• Chinese TIPI questionnaire measures Big Five traits; extroversion and emotional stability highlighted.
• Static trust (T0) assessed pre-interaction; dynamic trust (T1) measured post-interaction on PC and VR.
• Extroversion significantly predicts initial trust; emotional stability enhances post-interaction trust in PC.
• Static trust consistently predicts dynamic trust across modalities, explaining up to 21.9% of T1 variance.
• VR yields higher initial trust, while PC delivers greater dynamic trust, per independent t-tests.

Why it matters: By revealing static trust as the foundation for evolving human-machine trust and identifying extroversion and emotional stability as key drivers, this study guides the design of adaptive, user-centric AI systems. Tailoring interfaces to individual personalities can enhance safety, reliability, and long-term engagement in AI applications.