111 citations · 299 across the 22 of their papers we have counts for
22 papers
Exploring the Impacts of Background Noise on Auditory Stimuli of Audio-Visual eHMIs for Hearing, Deaf, and Hard-of-Hearing People
Wenge Xu, Foroogh Hajiseyedjavadi, Debargha Dey +2
External Human-Machine Interfaces (eHMIs) have been proposed to enhance communication between automated vehicles (AVs) and pedestrians, with growing interest in multi-modal designs…
The UnScripted Trip: Fostering Policy Discussion on Future Human-Vehicle Collaboration in Autonomous Driving Through Design-Oriented Methods
Xinyan Yu, Julie Stephany Berrio Perez, Marius Hoggenmüller +4
The rapid advancement of autonomous vehicle (AV) technologies is fundamentally reshaping paradigms of human-vehicle collaboration, raising not only an urgent need for innovative de…
Feel the Presence: The Effects of Haptic Sensation on VR-Based Human-Robot Interaction
Xinyan Yu, Marius Hoggenmüller, Tram Thi Minh Tran +1
Virtual reality (VR) has been increasingly utilised as a simulation tool for human-robot interaction (HRI) studies due to its ability to facilitate fast and flexible prototyping. D…
Quo-Vadis Multi-Agent Automotive Research? Insights from a Participatory Workshop and Questionnaire
Pavlo Bazilinskyy, Francesco Walker, Debargha Dey +5
The transition to mixed-traffic environments that involve automated vehicles, manually operated vehicles, and vulnerable road users presents new challenges for human-centered autom…
Towards Adaptive External Communication in Autonomous Vehicles: A Conceptual Design Framework
Tram Thi Minh Tran, Judy Kay, Stewart Worrall +6
External Human-Machine Interfaces (eHMIs) are key to facilitating interaction between autonomous vehicles and external road actors, yet most remain reactive and do not account for…
Understanding Pedestrian Gesture Misrecognition: Insights from Vision-Language Model Reasoning
Tram Thi Minh Tran, Xinyan Yu, Callum Parker +3
Pedestrian gestures play an important role in traffic communication, particularly in interactions with autonomous vehicles (AVs), yet their subtle, ambiguous, and context-dependent…
Uncertainty on Display: The Effects of Communicating Confidence Cues in Autonomous Vehicle-Pedestrian Interactions
Yue Luo, Xinyan Yu, Tram Thi Minh Tran +1
Uncertainty is an inherent aspect of autonomous vehicle (AV) decision-making, yet it is rarely communicated to pedestrians, which hinders transparency. This study investigates how…
Animal Interaction with Autonomous Mobility Systems: Designing for Multi-Species Coexistence
Tram Thi Minh Tran, Xinyan Yu, Marius Hoggenmueller +5
Autonomous mobility systems increasingly operate in environments shared with animals, from urban pets to wildlife. However, their design has largely focused on human interaction, w…
Enhancing Autonomous Vehicle-Pedestrian Interaction in Shared Spaces: The Impact of Intended Path-Projection
Le Yue, Tram Thi Minh Tran, Xinyan Yu +1
External Human-Machine Interfaces (eHMIs) are critical for seamless interactions between autonomous vehicles (AVs) and pedestrians in shared spaces. However, they often struggle to…
Peek into the `White-Box': A Field Study on Bystander Engagement with Urban Robot Uncertainty
Xinyan Yu, Marius Hoggenmueller, Tram Thi Minh Tran +3
Uncertainty inherently exists in the autonomous decision-making process of robots. Involving humans in resolving this uncertainty not only helps robots mitigate it but is also cruc…
Wearable AR in Everyday Contexts: Insights from a Digital Ethnography of YouTube Videos
Tram Thi Minh Tran, Shane Brown, Oliver Weidlich +2
With growing investment in consumer augmented reality (AR) headsets and glasses, wearable AR is moving from niche applications to everyday use. However, current research primarily…
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…
Advancing VR Simulators for Autonomous Vehicle-Pedestrian Interactions: A Focus on Multi-Entity Scenarios
Tram Thi Minh Tran, Callum Parker
Recent research has increasingly focused on how autonomous vehicles (AVs) communicate with pedestrians in complex traffic situations involving multiple vehicles and pedestrians. VR…
Designing Interactions with Autonomous Physical Systems
Marius Hoggenmueller, Tram Thi Minh Tran, Luke Hespanhol +1
In this position paper, we present a collection of four different prototyping approaches which we have developed and applied to prototype and evaluate interfaces for and interactio…
Context-Based Interface Prototyping: Understanding the Effect of Prototype Representation on User Feedback
Marius Hoggenmueller, Martin Tomitsch, Luke Hespanhol +3
The rise of autonomous systems in cities, such as automated vehicles (AVs), requires new approaches for prototyping and evaluating how people interact with those systems through co…
Exploring Holistic HMI Design for Automated Vehicles: Insights from a Participatory Workshop to Bridge In-Vehicle and External Communication
Haoyu Dong, Tram Thi Minh Tran, Rutger Verstegen +8
Human-Machine Interfaces (HMIs) for automated vehicles (AVs) are typically divided into two categories: internal HMIs for interactions within the vehicle, and external HMIs for com…
Holistic HMI Design for Automated Vehicles: Bridging In-Vehicle and External Communication
Haoyu Dong, Tram Thi Minh Tran, Pavlo Bazilinskyy +5
As the field of automated vehicles (AVs) advances, it has become increasingly critical to develop human-machine interfaces (HMI) for both internal and external communication. Criti…
A Review of Virtual Reality Studies on Autonomous Vehicle--Pedestrian Interaction
Tram Thi Minh Tran, Callum Parker, Martin Tomitsch
An increasing number of studies employ virtual reality (VR) to evaluate interactions between autonomous vehicles (AVs) and pedestrians. VR simulators are valued for their cost-effe…
Simulating Wearable Urban Augmented Reality Experiences in VR: Lessons Learnt from Designing Two Future Urban Interfaces
Tram Thi Minh Tran, Callum Parker, Marius Hoggenmüller +2
Augmented reality (AR) has the potential to fundamentally change how people engage with increasingly interactive urban environments. However, many challenges exist in designing and…
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…
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…
Scoping Out the Scalability Issues of Autonomous Vehicle-Pedestrian Interaction
Tram Thi Minh Tran, Callum Parker, Martin Tomitsch
Autonomous vehicles (AVs) may use external interfaces, such as LED light bands, to communicate with pedestrians safely and intuitively. While previous research has demonstrated the…