Behavioral Effects of a Delivery Drone on Feelings of Uncertainty: A Virtual Reality Experiment

The use of drones is expected to increase for delivering groceries or medical equipment to individuals. Understanding how people perceive drone behavior, specifically in terms of approach trajectories and delivery methods, and identifying factors that induce feelings of uncertainty is crucial for perceived safety and trust. This virtual reality experiment investigated the impact of drone approach trajectories and delivery methods on feelings of uncertainty. Forty-five participants observed a drone approaching in an orthogonal or a curved path and either, delivering packages by landing or using a cable while hovering above eye level. We found that participants felt uncertain and unsafe, especially when looking up at drones approaching with orthogonal paths. Curved paths led to lower feelings of uncertainty, with comments such as being more natural, trustful, and safe. Feelings of uncertainty arose while landing on the ground due to altitude changes and potential collision concerns. Using a cable instead of actually landing for delivery reduced feelings of uncertainty and increased trust. The study recommends drones avoid hovering near humans, especially after landing. Furthermore, the study suggests exploring design solutions, including design aesthetics and human–machine interfaces, that clearly convey drone intentions to help reduce feelings of uncertainty.

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Publication Details

Journal
ACM Transactions on Human-Robot Interaction
Published
2025-04-15
DOI
https://doi.org/10.1145/3729538
Citations
8
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
19.51
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article

Behavioral Effects of a Delivery Drone on Feelings of Uncertainty: A Virtual Reality Experiment

Marieke Martens, Sara Ljungblad, Ilaria Torre, Sebastiaan M. Petermeijer et al.
8 citations
ACM Transactions on Human-Robot Interaction
Human-Automation Interaction and Safety
19.51
article

Behavioral Effects of a Delivery Drone on Feelings of Uncertainty: A Virtual Reality Experiment

Marieke Martens, Sara Ljungblad, Ilaria Torre, Sebastiaan M. Petermeijer, Pavlo Bazilinskyy, Shiva Nischal Lingam
article en
8 citations

Abstract

The use of drones is expected to increase for delivering groceries or medical equipment to individuals. Understanding how people perceive drone behavior, specifically in terms of approach trajectories and delivery methods, and identifying factors that induce feelings of uncertainty is crucial for perceived safety and trust. This virtual reality experiment investigated the impact of drone approach trajectories and delivery methods on feelings of uncertainty. Forty-five participants observed a drone approaching in an orthogonal or a curved path and either, delivering packages by landing or using a cable while hovering above eye level. We found that participants felt uncertain and unsafe, especially when looking up at drones approaching with orthogonal paths. Curved paths led to lower feelings of uncertainty, with comments such as being more natural, trustful, and safe. Feelings of uncertainty arose while landing on the ground due to altitude changes and potential collision concerns. Using a cable instead of actually landing for delivery reduced feelings of uncertainty and increased trust. The study recommends drones avoid hovering near humans, especially after landing. Furthermore, the study suggests exploring design solutions, including design aesthetics and human–machine interfaces, that clearly convey drone intentions to help reduce feelings of uncertainty.

ACM Transactions on Human-Robot InteractionVol. 14(4)
Chalmers University of Technology (SE), Eindhoven University of Technology (NL), University of Gothenburg (SE)
Openalex Percentile: Top 1%
Human-Automation Interaction and Safety
19.51
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Behavioral Effects of a Delivery Drone on Feelings of Uncertainty: A Virtual Reality Experiment — Marieke Martens, Sara Ljungblad, et al. · ACM Transactions on Human-Robot Interaction (2025) | TGRS Research Map | TGRS