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Author: 5905

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Small Talk, Big Impact? LLM-based Conversational Agents to Mitigate Passive Fatigue in Conditional Automated Driving

Passive fatigue during conditional automated driving can compromise driver readiness and safety. This paper presents findings from a test-track study with 40 participants in a real-world automated driving scenario. In this scenario, a Large Language Model (LLM) based conversational agent (CA) was designed to check in…

Lewis Cockram et al.Queensland University of Technology

Exploring Women’s Perspectives on Learning and Trust in Automated Vehicles: A Socio-Ecological Lens

As automated vehicles (AVs) move toward mainstream adoption, understanding how users learn about and build trust in them is critical. Prior research shows that women hold safety concerns and report low trust and familiarity with AVs. While limited exposure is often cited as a cause, growing evidence indicates that w…

ALAA H A ABUSAFIA et al.Queensland University of Technology

Haptic-Augmented AV Experiences: Potentials for Blind and Low-Vision Users

Haptic technology has diverse applications in automated vehicles (AVs), yet research lacks a holistic view of its role in user experiences and its inclusive potential for blind and low-vision (BLV) users. This paper reviews state-of-the-art haptic interfaces in AVs, examining technological foundations, applications, u…

Zhengtao Ma et al.Queensland University of Technology

Designing With Motion: Exploring Vestibular Cues as a Subtle Awareness Nudge Modality in Automated Vehicles

Automated driving systems, particularly at SAE Level 3, present new challenges in managing driver attention to ensure smooth transitions from automated to manual control. This paper reports on a qualitative investigation of vestibular cues—implemented via subtle deceleration events—as a form of a dynamic Human-Machine…

Yueteng Yu et al.Queensland University of Technology

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Measuring Driver Electrodermal Activity when Exposed to HMIs Conveying Uncertainty in Conditional Automated Driving

The emergence of automated vehicles (AVs) introduces new challenges to human-vehicle interactions, especially in conditional automated driving. This study presents different head-up display designs as the human-machine interface (HMI) to convey uncertainty to AV users. It investigates the impact of such designs on dri…

Jorge Pardo et al.Queensland University of Technology

Decoding Driver Intention Cues: Exploring Non-verbal Communication for Human-Centered Automotive Interfaces

In emerging "driver-less" automated vehicles (AVs), the intuitive communication that exists between human drivers and passengers no longer exists, which can lead to reduced trust and acceptance in passengers if they are unclear about what the AV intends to do. This paper contributes the foundational understanding of h…

Mohammad Faramarzian et al.Queensland University of Technology

An Eye Gaze Heatmap Analysis of Uncertainty Head-Up Display Designs for Conditional Automated Driving

This paper reports results from a high-fidelity driving simulator study (N=215) about a head-up display (HUD) that conveys a conditional automated vehicle’s dynamic “uncertainty” about the current situation while fallback drivers watch entertaining videos. We compared (between-group) three design interventions: displa…

Michael A. Gerber et al.Queensland University of Technology

Mentorable Interfaces for Automated Vehicles: A New Paradigm for Designing Learnable Technology for Older Adults

We introduce a conceptual framework exploring the learning methods for older adults in navigating automated vehicle interfaces. Through semi-structured interviews, we observed distinct approaches to learning, and based on these, offer a novel conceptualization of a ‘mentorable’ interface to enhance technology educatio…

Togtokhtur Batbold et al.Queensland University of Technology

An Exploratory Physical Computing Toolkit for Rapid Exploration and Co-Design of On-Bicycle Notification Interfaces

Cycling offers significant health and environmental benefits, but safety remains a critical issue. We need better tools and design processes to develop on-bicycle notification interfaces, for example, for hazard warnings, and to overcome design challenges associated with the cycling context. We present a physical comp…

Markus Rittenbruch et al.Queensland University of Technology

Self-Interruptions of Non-Driving Related Tasks in Automated Vehicles: Mobile vs Head-Up Display

Automated driving raises new human factors challenges. There is a paradox that allows drivers to perform non-driving related tasks (NDRTs), while benefiting from a driver who regularly attends to the driving task. Systems that aim to better manage a driver's attention, encouraging task switching and interleaving, may…

Michael A. Gerber et al.Queensland University of Technology

A Video-Based Automated Driving Simulator for Automotive UI Prototyping, UX and Behaviour Research

The lack of automated cars above SAE level 3 raises challenges for conducting User Experience Design (UXD) and behaviour research for automated driving. User-centred methods are critical to ensuring a human-friendly progress of vehicle automation. This work introduces the Immersive Video-based Automated Driving (IVAD…

Michael A. Gerber et al.

QUT

Paper Title	Authors	Research Topics	Paper Database	Year
emoji_events Small Talk, Big Impact? LLM-based Conversational Agents to Mitigate Passive Fatigue in Conditional Automated Driving Passive fatigue during conditional automated driving can compromise driver readiness and safety. This paper presents findings from a test-track study with 40 participants in a real-world automated driving scenario. In this scenario, a Large Language Model (LLM) based conversational agent (CA) was designed to check in…	LC Lewis Cockram et al.Queensland University of Technology
Exploring Women’s Perspectives on Learning and Trust in Automated Vehicles: A Socio-Ecological Lens As automated vehicles (AVs) move toward mainstream adoption, understanding how users learn about and build trust in them is critical. Prior research shows that women hold safety concerns and report low trust and familiarity with AVs. While limited exposure is often cited as a cause, growing evidence indicates that w…	AA ALAA H A ABUSAFIA et al.Queensland University of Technology
Haptic-Augmented AV Experiences: Potentials for Blind and Low-Vision Users Haptic technology has diverse applications in automated vehicles (AVs), yet research lacks a holistic view of its role in user experiences and its inclusive potential for blind and low-vision (BLV) users. This paper reviews state-of-the-art haptic interfaces in AVs, examining technological foundations, applications, u…	ZM Zhengtao Ma et al.Queensland University of Technology
Designing With Motion: Exploring Vestibular Cues as a Subtle Awareness Nudge Modality in Automated Vehicles Automated driving systems, particularly at SAE Level 3, present new challenges in managing driver attention to ensure smooth transitions from automated to manual control. This paper reports on a qualitative investigation of vestibular cues—implemented via subtle deceleration events—as a form of a dynamic Human-Machine…	YY Yueteng Yu et al.Queensland University of Technology
AdRecommended Learn AI Coding at CodeNow Structured lessons, hands-on projects, and continuous updates for people bringing AI into real development work. Explore Now
Measuring Driver Electrodermal Activity when Exposed to HMIs Conveying Uncertainty in Conditional Automated Driving The emergence of automated vehicles (AVs) introduces new challenges to human-vehicle interactions, especially in conditional automated driving. This study presents different head-up display designs as the human-machine interface (HMI) to convey uncertainty to AV users. It investigates the impact of such designs on dri…	JP Jorge Pardo et al.Queensland University of Technology
Decoding Driver Intention Cues: Exploring Non-verbal Communication for Human-Centered Automotive Interfaces In emerging "driver-less" automated vehicles (AVs), the intuitive communication that exists between human drivers and passengers no longer exists, which can lead to reduced trust and acceptance in passengers if they are unclear about what the AV intends to do. This paper contributes the foundational understanding of h…	MF Mohammad Faramarzian et al.Queensland University of Technology
An Eye Gaze Heatmap Analysis of Uncertainty Head-Up Display Designs for Conditional Automated Driving This paper reports results from a high-fidelity driving simulator study (N=215) about a head-up display (HUD) that conveys a conditional automated vehicle’s dynamic “uncertainty” about the current situation while fallback drivers watch entertaining videos. We compared (between-group) three design interventions: displa…	MG Michael A. Gerber et al.Queensland University of Technology
Mentorable Interfaces for Automated Vehicles: A New Paradigm for Designing Learnable Technology for Older Adults We introduce a conceptual framework exploring the learning methods for older adults in navigating automated vehicle interfaces. Through semi-structured interviews, we observed distinct approaches to learning, and based on these, offer a novel conceptualization of a ‘mentorable’ interface to enhance technology educatio…	TB Togtokhtur Batbold et al.Queensland University of Technology
An Exploratory Physical Computing Toolkit for Rapid Exploration and Co-Design of On-Bicycle Notification Interfaces Cycling offers significant health and environmental benefits, but safety remains a critical issue. We need better tools and design processes to develop on-bicycle notification interfaces, for example, for hazard warnings, and to overcome design challenges associated with the cycling context. We present a physical comp…	MR Markus Rittenbruch et al.Queensland University of Technology
Self-Interruptions of Non-Driving Related Tasks in Automated Vehicles: Mobile vs Head-Up Display Automated driving raises new human factors challenges. There is a paradox that allows drivers to perform non-driving related tasks (NDRTs), while benefiting from a driver who regularly attends to the driving task. Systems that aim to better manage a driver's attention, encouraging task switching and interleaving, may…	MG Michael A. Gerber et al.Queensland University of Technology
A Video-Based Automated Driving Simulator for Automotive UI Prototyping, UX and Behaviour Research The lack of automated cars above SAE level 3 raises challenges for conducting User Experience Design (UXD) and behaviour research for automated driving. User-centred methods are critical to ensuring a human-friendly progress of vehicle automation. This work introduces the Immersive Video-based Automated Driving (IVAD…	MG Michael A. Gerber et al.QUT