Towards Public-Drone Interactions: Communicating Delivery Intentions to Recipients and Bystanders
Paper i 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

Författare

Shiva Nischal Lingam

Technische Universiteit Eindhoven

Stichting Nationaal Lucht- En Ruimtevaartlaboratorium (NLR)

Sebastiaan Martinus Petermeijer

Stichting Nationaal Lucht- En Ruimtevaartlaboratorium (NLR)

Mohammad Obaid

Göteborgs universitet

Chalmers, Data- och informationsteknik, Interaktionsdesign och Software Engineering

Marieke Martens

Nederlandse Organisatie voor toegepast-natuurwetenschappelijk onderzoek (TNO)

Technische Universiteit Eindhoven

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,

Ämneskategorier (SSIF 2025)

Systemvetenskap, informationssystem och informatik med samhällsvetenskaplig inriktning

Annan teknik

Människa-datorinteraktion (interaktionsdesign)

DOI

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

Mer information

Senast uppdaterat

2025-09-29