Seeing Machines

apartmentCompanybar_chart#666 Global Rank

Total Papers

HCI Rank

#666

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Years Active

Recent Publications

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…

AUTO_UI '25Automated Driving Interface & Takeover Design +1

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…

AUTO_UI '25Head-Up Display (HUD) & Advanced Driver Assistance Systems (ADAS)

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…

CHI '24Head-Up Display (HUD) & Advanced Driver Assistance Systems (ADAS) +1

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…

AUTO_UI '23Automated Driving Interface & Takeover Design

Takeover Context Matters: Characterising Context of Takeover in Naturalistic Driving using Super Cruise and Autopilot

Takeover safety is a critical issue when using Level 2 advanced driver assistance systems. Understanding the context of takeover can facilitate the development of driver monitoring systems that can adapt to changing environments for more contextually appropriate assistance during takeover. The paper presents a hierarc…

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At a Glance

Institution Snapshot

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Seeing Machines

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Location

Australia · Oceania

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Overall Rank

#666

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Total Papers

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Active Years

2023-2026

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Network

5 researchers · 0 collaborators

Research Profile

Top Research Directions

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Automotive & Autonomous Vehicle Interaction

Automated Driving Interface & Takeover Design

AI & Machine Learning Interaction

Human-LLM Collaboration

Gesture, Body & Motion Interaction

Eye Tracking & Gaze Interaction