Towards Public-Drone Interactions: Communicating Delivery Intentions to Recipients and Bystanders
Paper in proceeding, 2026

Drones are increasingly used for package delivery in public spaces, interacting with people either as recipients or bystanders. Clear communication of a drone’s vertical motion intentions is key to reducing perceived uncertainty and improving public trust. This study explores how delivery methods and visual interfaces influence perceived uncertainty. In an online study, 27 participants were assigned to either a recipient or bystander role and watched videos of drones delivering packages by landing or hovering while lowering a package via cable. Each condition was shown with or without a visual interface (onboard lights, display, or ground projection). Participants rated the scenarios on uncertainty, understandability, predictability, and trust. This work-in-progress study presents findings for the bystander role. Results indicate that visual interfaces—particularly displays—reduced perceived uncertainty and improved predictability and trust. These findings highlight the importance of intent-signaling interfaces in public drone interactions. In critical contexts such as law enforcement and emergency response, the interfaces have the potential to enhance communication, safety, and public cooperation.

Drones

Robot Behavior

Public Space

Delivery Application

Human-Drone Interaction

Human-Machine Interface

Author

Shiva Nischal Lingam

Eindhoven University of Technology

National Aerospace Laboratory (NLR)

Sebastiaan Martinus Petermeijer

National Aerospace Laboratory (NLR)

Mohammad Obaid

University of Gothenburg

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

Marieke Martens

Netherlands Organisation for Applied Scientific Research (TNO)

Eindhoven University of Technology

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

03029743 (ISSN) 16113349 (eISSN)

Vol. 16111 LNCS 317-321
9783032050076 (ISBN)

20th IFIP TC 13 International Conference on Human-Computer Interaction, INTERACT 2025
Belo Horizonte, Brazil,

Subject Categories (SSIF 2025)

Information Systems, Social aspects

Other Engineering and Technologies

Human Computer Interaction

DOI

10.1007/978-3-032-05008-3_60

More information

Latest update

9/29/2025