Unpacking the message: visual cues to reduce bystander uncertainty about delivery drones in public spaces
Journal article, 2026

As drones are deployed in public spaces for tasks such as package delivery, drones will encounter the public as bystanders passing by. The distinctive character of bystanders is that they are not the package recipients, so they lack prior information about the drone. Clear communication of drone intentions is essential to reduce uncertainty and improve public safety and trust. Limited research, however, has examined how a drone's communication strategies affect bystanders. This online questionnaire study investigated how a drone's visual cues affect bystanders' uncertainty about a drone's intentions. Participants (N = 150) viewed software simulated scenarios of drones delivering packages either by landing or by cable drop, each with or without visual interfaces (on-board lights, on-board display, or ground projection). Participants rated the scenarios for uncertainty, convincingness, predictability, understandability, and trust, and provided qualitative feedback through textual comments. Results illustrate that explicit communication improves bystanders' ability to predict drone actions and influence bystanders' intentions. While lights posed challenges with visual clarity, displays were effective for conveying drone movements, and projections were most preferred for indicating landing locations and safety zones. We recommend adapting interfaces, particularly ground projection, to provide instructions to bystanders on how to act (e.g., whether or not to cross) during drone operations. Our study contributes to the introduction of safe and trustworthy drones in public spaces.

Public

Uncertainty

Human-machine interfaces

Delivery application

Drones

Human-robot interaction

Author

Shiva Nischal Lingam

Eindhoven University of Technology

Royal Netherlands Aerosp Ctr

Sebastiaan Martinus Petermeijer

Royal Netherlands Aerosp Ctr

Mohammad Obaid

Chalmers, Computer Science and Engineering (Chalmers), Interaction Design and Software Engineering

University of Gothenburg

Marieke Martens

Netherlands Organisation for Applied Scientific Research (TNO)

AI and Society

0951-5666 (ISSN) 1435-5655 (eISSN)

Vol. In Press

Subject Categories (SSIF 2025)

Other Engineering and Technologies

Human Computer Interaction

DOI

10.1007/s00146-026-02903-3

More information

Latest update

4/2/2026 1