Jaume R. Perelló-March

Jaume R. Perelló-March
Airbus · Human Factors and Ergonomics in Design

PhD in Human Factors Engineering

About

15
Publications
3,842
Reads
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84
Citations
Education
February 2018 - June 2022
The University of Warwick
Field of study
  • Human Factors Engineering
October 2015 - July 2016
University of the Balearic Islands
Field of study
  • Human Evolution and Cognition
September 2009 - June 2014
University of the Balearic Islands
Field of study
  • Psychology

Publications

Publications (15)
Article
Full-text available
Highly Automated Driving technology will be facing major challenges before being pervasively integrated across production vehicles. One of them will be monitoring drivers' state and determining whether they are ready to take over control under certain circumstances. Thus, we have explored their physiological responses and the effects on trust of di...
Chapter
Full-text available
Inappropriate trust in highly automated vehicles (HAVs) has been identified as one of the causes in several accidents [1, 2, 3]. These accidents have evidenced the need to include a Driver State Monitoring System (DSMS) [4] into those HAVs which may require occasional manual driving. DSMS make use of several psychophysiological sensors to monitor t...
Article
Full-text available
Objective: Using brain haemodynamic responses to measure perceived risk from traffic complexity during automated driving. Background: Although well-established during manual driving, the effects of driver risk perception during automated driving remain unknown. The use of fNIRS in this paper for assessing drivers' states posits it could become a...
Article
Full-text available
One major challenge for automated cars is to not only be safe, but also secure. Indeed, connected vehicles are vulnerable to cyberattacks, which may jeopardize individuals’ trust in these vehicles and their safety. In a driving simulator experiment, 38 participants were exposed to two screen failures: silent (i.e., no turn signals on the in-vehicle...
Article
Full-text available
Connected and automated vehicles are vulnerable to cyber-attacks, which may jeopardise their safe and efficient operation and, as a result, negatively affect drivers’ behaviour. A major concern for such cyber-attacks is visual distraction inside the vehicle, which is one of the main causes of road accidents. In this empirical research using a drivi...
Article
Full-text available
Trust in automation is crucial for the safe and appropriate adoption of automated driving technology. Current research methods to measure trust mainly rely on subjective scales, with several intrinsic limitations. This empirical experiment proposes a novel method to measure trust objectively, using functional near-infrared spectroscopy (fNIRS). Thr...
Conference Paper
Full-text available
As cars are becoming more automated and connected, their vulnerability to cyber-attack is also increasing. The aim of this research is to understand how drivers react to a cyber-attack affecting personal data in a connected and automated car. Thirty-seven participants took part in a simulator study where a ransomware popped-up on the centre console...
Conference Paper
Full-text available
The aim of this paper is to examine the effect of explicit (i.e., ransomware) and silent (i.e., no turn signals) automation failures on drivers' reported levels of trust and perception of risk. In a driving simulator study, 38 participants rode in a conditionally automated vehicle in built-up areas and motorways. They all experienced both failures....
Thesis
Full-text available
Real-time monitoring of drivers’ functional states will soon become a required safety feature for commercially available vehicles with automated driving capability. Automated driving technology aims to mitigate human error from road transport with the progressive automatisation of specific driving tasks. However, while control of the driving task r...
Article
Full-text available
Highly automated driving will likely result in drivers being out-of-the-loop during specific scenarios and engaging in a wide range of non-driving related tasks. Manifesting in lower levels of risk perception to emerging events, and thus affect drivers' availability to take-over manual control in safety-critical scenarios. In this empirical researc...
Preprint
Full-text available
Inappropriate trust in highly automated vehicles (HAVs) has been identified as one of the causes in several accidents [1]-[3]. These accidents have evidenced the need to include a Driver State Monitoring System (DSMS) [4] into those HAVs which may require occasional manual driving. DSMS make use of several psychophysiological sensors to monitor the...
Chapter
Full-text available
The pervasive inclusion of electric vehicles on our roads is already a reality and is here to stay in the future. Many car manufacturers are including full electric or hybrid models in their catalogues and more will come in the near future. However, since the electric vehicles’ range is still insufficient to compete with combustion-engine vehicles,...
Conference Paper
Multimodal operating systems such as Apple or Android are being integrated into several platforms and devices, increasing users’ connectivity experience. Recently, both operating systems (OS) had been integrated into modern vehicles, extending connectivity possibilities to road transport, providing them with new driving experiences for the user. In...
Article
Full-text available
Reducing energy consumption has become a matter of increasing concern for electric vehicle owners. EcoDriver is a project funded by the European Commission, searching for new eco-driving solutions for reducing energy consumption in private and public transport. EcoDriver's main purpose is to teach efficient driving strategies and facilitate drivers...

Questions

Question (1)
Question
The MATLAB code for the 2005 steering entropy method is no longer available on the University of Michigan Transportation Research Institute website (www.umich.edu/~driving).
Can someone please share it if available?
Many thanks

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