most citedDesigning Wearable Augmented Reality Concepts to Support Scalability in Autonomous Vehicle-Pedestrian Interaction

39 citations · 112 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO20242 cited

Robots in the Wild: Contextually-Adaptive Human-Robot Interactions in Urban Public Environments

Xinyan Yu, Yiyuan Wang, Tram Thi Minh Tran +9

The increasing transition of human-robot interaction (HRI) context from controlled settings to dynamic, real-world public environments calls for enhanced adaptability in robotic sy…

cs.HC202418 cited

Exploring the Impact of Interconnected External Interfaces in Autonomous Vehicleson Pedestrian Safety and Experience

Tram Thi Minh Tran, Callum Parker, Marius Hoggenmuller +2

Policymakers advocate for the use of external Human-Machine Interfaces (eHMIs) to allow autonomous vehicles (AVs) to communicate their intentions or status. Nonetheless, scalabilit…

cs.HC202439 cited

Designing Wearable Augmented Reality Concepts to Support Scalability in Autonomous Vehicle-Pedestrian Interaction

Tram Thi Minh Tran, Callum Parker, Yiyuan Wang +1

Wearable augmented reality (AR) offers new ways for supporting the interaction between autonomous vehicles (AVs) and pedestrians due to its ability to integrate timely and contextu…

cs.HC202425 cited

Pedestrian-Vehicle Interaction in Shared Space: Insights for Autonomous Vehicles

Yiyuan Wang, Luke Hespanhol, Stewart Worrall +1

Shared space reduces segregation between vehicles and pedestrians and encourages them to share roads without imposed traffic rules. The behaviour of road users (RUs) is then contro…

cs.HC202428 cited

How Can Autonomous Vehicles Convey Emotions to Pedestrians? A Review of Emotionally Expressive Non-Humanoid Robots

Yiyuan Wang, Luke Hespanhol, Martin Tomitsch

In recent years, researchers and manufacturers have started to investigate ways to enable autonomous vehicles (AVs) to interact with nearby pedestrians in compensation for the abse…