Enhancing human-AI trust through multimodal feedback: A study of visual, haptic, and auditory augmentation in drone shared autonomy
• Multimodal feedback improves human-AI trust in autonomous drone operations. • Visual plus haptic cues yield the best performance and the lowest workload. • Audio feedback increased workload and reduced reliance on AI autonomy. • Eye-tracking data confirms reduced cognitive load with haptic Human-AI interaction. • Provide design insights for trustworthy human-AI collaboration in drone systems.
Authors
- Jiahao Wu (ORCID: https://orcid.org/0000-0002-9022-6825)
- Tianyu Zhou (ORCID: https://orcid.org/0000-0003-0854-6780)
- Bowen Sun
- Fang Xu
- Jing Du
Institutions
- University of Florida (US)
Publication Details
- Journal
- Computers in Human Behavior Reports
- Published
- 2026-02-02
- DOI
- https://doi.org/10.1016/j.chbr.2026.100959
- Primary Topic
- Human-Automation Interaction and Safety
- Type
- article
- Field-Weighted Citation Impact
- 0.00