University of Leeds

schoolSchoolbar_chart#558 Global Rank

Total Papers

HCI Rank

#558

Research Areas

Years Active

Recent Publications

Drivers’ Attention to Dash-Based Human-Machine Interfaces: The Effect of Partial Automation and Cognitive Load

A vehicle’s dash-based Human-Machine Interface (HMI) provides critical information to drivers. However, the location of these displays can take drivers' visual attention away from the forward view and compromise safety. As vehicle automation becomes increasingly common, its impact on drivers’ visual attention to dash-…

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…

AUTO_UI '24Research Ethics & Open Science

Changing Lanes Toward Open Science: Openness and Transparency in Automotive User Research

We review the state of open science and the perspectives on open data sharing within the automotive user research community. Openness and transparency are critical not only for judging the quality of empirical research, but also for accelerating scientific progress and promoting an inclusive scientific community. Howe…

AUTO_UI '23Automated Driving Interface & Takeover Design +1

Do Drivers have Preconceived Ideas about an Automated Vehicle’s Driving Behaviour?

This study investigated drivers' preconceived notions about manoeuvres of Automated Vehicles (AVs) compared to manually driven vehicles (MVs) using a pseudo-coupled driving simulator. The simulator displayed a message indicating the state of approaching vehicles (AV/MV) in a bottleneck scenario, while participants wer…

AUTO_UI '21External HMI (eHMI) — Communication with Pedestrians & Cyclists +1

Towards future pedestrian-vehicle interactions: Introducing theoretically-supported AR prototypes

The future urban environment may consist of mixed traffic in which pedestrians interact with automated vehicles (AVs). However, it is still unclear how AVs should communicate their intentions to pedestrians. Augmented reality (AR) technology could transform the future of interactions between pedestrians and AVs by off…

CHI '21Interactive Data Visualization +1

The Public Life of Data: Investigating Reactions to Visualizations on Reddit

This research investigates how people engage with data visualizations when commenting on the social platform Reddit. There has been considerable research on collaborative sensemaking with visualizations and the personal relation of people with data. Yet, little is known about how public audiences without specific expe…

AUTO_UI '19External HMI (eHMI) — Communication with Pedestrians & Cyclists

Understanding The Messages Conveyed by Automated Vehicles

Efficient and safe interactions between automated vehicles and other road users can be supported through external Human-Machine Interfaces (eHMI). The success of these interactions relies on the eHMI signals being adequately understood by other road users. A paired-comparison forced choice task (Task 1), and a 6-point…

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https://hci.top/en/institutions/University%20of%20Leeds?source=all

At a Glance

Institution Snapshot

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Display Name

University of Leeds

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Location

United Kingdom · Europe

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Overall Rank

#558

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Total Papers

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Active Years

2019-2025

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Network

12 researchers · 0 collaborators

Research Profile

Top Research Directions

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Automotive & Autonomous Vehicle Interaction

External HMI (eHMI) — Communication with Pedestrians & Cyclists

Research Methods & Design Practice

Research Ethics & Open Science

Virtual, Augmented & Mixed Reality (XR)

AR Navigation & Context Awareness

Data Visualization & Information Design

Interactive Data Visualization

Social Media & Online Communities

Community Collaboration & Wikipedia