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

Abstract 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.

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Publication Details

Journal
AI & Society
Published
2026-03-28
DOI
https://doi.org/10.1007/s00146-026-02903-3
Primary Topic
UAV Applications and Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Marieke Martens, Sebastiaan M. Petermeijer, Mohammad Obaid, Shiva Nischal Lingam
AI & Society
UAV Applications and Optimization
article

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

Marieke Martens, Sebastiaan M. Petermeijer, Mohammad Obaid, Shiva Nischal Lingam
article en

Abstract

Abstract 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.

AI & Society
Netherlands Organisation for Applied Scientific Research (NL), Royal Tropical Institute (NL), Royal GD (Netherlands) (NL), Chalmers University of Technology (SE), Eindhoven University of Technology (NL), University of Gothenburg (SE)
Peace, Justice and strong institutions
Openalex Percentile: Top 2%
UAV Applications and Optimization
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