
Lucie LévêqueUniversity of Nantes | UNIV Nantes
Lucie Lévêque
PhD - MSc - MEng - BEng
Postdoctoral Researcher - LS2N, Polytech Nantes, University of Nantes
About
31
Publications
6,761
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154
Citations
Citations since 2017
Introduction
I am a Postdoctoral Researcher with the LS2N Laboratory (Nantes Laboratory of Digital Sciences), Polytech, the University of Nantes, France. My research interests include human-computer interaction, computer vision, visual perception and attention, and medical imaging.
https://lulvk.github.io/
Skills and Expertise
Additional affiliations
February 2019 - December 2019
Education
October 2015 - October 2018
September 2012 - August 2015
Publications
Publications (31)
Quality assessment is a key element for the evaluation of hardware and software involved in image and video acquisition, processing, and visualization. In the medical field, user-based quality assessment is still considered more reliable than objective methods, which allow the implementation of automated and more efficient solutions. Regardless of...
Emotions, and consequently facial expressions, play an essential role in communication - and thus in everyday life. With the increase of human-machine interactions, and more especially of multimedia applications, automatic recognition of facial expressions has emerged as a challenging task, particularly under naturalistic conditions. In the present...
The causal relationship between olfactory perception and human emotions has been widely studied and accepted by various fields including, but not limited to, health, marketing, and multimedia. In this work-in-progress paper, we present an olfactive, interactive and immersive experience taking place during the World Creativity & Innovation Week in N...
Emotions are fundamental to human experience, as they impact our cognition, perception, and daily tasks (e.g., communication). The ACM IMX'22 Emotion workshop aims to bring together researchers and practitioners from various fields (including, but not limited to, computer science, design, and cognitive science) to discuss challenges in crafting and...
Driving automation has become a trending topic over the past decade, as recent technical and technological improvements have created hope for a possible short-term release of automated vehicles. Several research teams have been exploring driver performance during control transitions performed under highly automated driving (i.e., while resuming man...
Healthcare professionals have been increasingly viewing medical images and videos in their routine clinical practice, and this in a wide variety of environments. Both the perception and interpretation of medical visual information, across all branches of practice or medical specialties (e.g., diagnostic, therapeutic, or surgical medicine), career s...
The importance of informal communication between manual vehicles drivers and pedestrians in order to prevent misinterpretation, and thus accidents, in road-crossing situations has been widely shown in the literature. Such crucial communication consequently raises the issue of the introduction of automated vehicles (AVs) on the roads, in which case...
Research on image quality assessment (IQA) remains limited mainly due to our incomplete knowledge about human visual perception. Existing IQA algorithms have been designed or trained with insufficient subjective data with a small degree of stimulus variability. This has led to challenges for those algorithms to handle complexity and diversity of re...
Research on image quality assessment (IQA) remains limited mainly due to our incomplete knowledge about human visual perception. Existing IQA algorithms have been designed or trained with insufficient subjective data with a small degree of stimulus variability. This has led to challenges for those algorithms to handle complexity and diversity of re...
It has been widely shown in the literature that analysing eye movements and positions can provide useful information for a better understanding of human perception and cognition. The eye-tracking technology, as a process of measuring where people look, has established itself as a widespread means of studying visual information processing in several...
Eye-tracking technology has become a widely used means to understand how radiologists perceive and interpret medical images, providing useful information that can help improve diagnostic accuracy. However, existing eye-tracking studies in medical imaging remain limited due to the small number of stimuli and/or of subjects involved, and the lack of...
Risk is a very common notion : we use it in our everyday life and frequently assess it without thinking.For instance, when driving a car, one constantly evaluates risk and uses this - somewhat obvious - estimation to decide upon actions to be taken. Most of the time, humans are not even fully aware of that risk assessment process, and rarely wonder...
Le risque est une notion très courante : nous l'utilisons dans notre vie quotidienne et son évaluation ne demande pas d'effort de réflexion. Par exemple, lorsque nous conduisons une voiture, nous évaluons constamment le risque et utilisons cette estimation immédiate pour décider des actions à entreprendre. La plupart du temps, les humains...
Image quality assessment is critical to control and maintain the perceived quality of visual content. Both subjective and objective evaluations can be utilised, however, subjective image quality assessment is currently considered the most reliable approach. Databases containing distorted images and mean opinion scores are needed in the field of atm...
Image quality assessment is critical to control and maintain the perceived quality of visual content. Both subjective and objective evaluations can be utilised, however, subjective image quality assessment is currently considered the most reliable approach. Databases containing distorted images and mean opinion scores are needed in the field of atm...
Telemedicine can provide timely and high-quality clinical health care from a distance, improving access to and delivery of medical services in resource-poor settings. It can also save lives in situations of emergency. In many circumstances, the success of telemedicine practice heavily relies on the transmission of medical videos over large distance...
Screening mammography has been widely used over the last few decades to detect breast cancers at an early stage using low-dose X-ray imaging. Being able to detect breast lesions early is highly beneficial for the patients as it makes treatment more successful and increases the chance of recovery. However, lesion detection is prone to false negative...
Healthcare professionals increasingly view medical images and videos in a variety of environments. The perception and interpretation of medical visual information across all specialties, career stages, and practice settings are critical to patient care and safety. However, medical images and videos are not self-explanatory and thus need to be inter...
Eye-tracking – the process of measuring where people look in a visual field – has been widely used to study how humans process visual information. In medical imaging, eye-tracking has become a popular technique in many applications to reveal how visual search and recognition tasks are performed, providing information that can improve human performa...
Health care professionals are increasingly viewing medical images and videos in a variety of environments. The perception of medical visual information across all specialties, career stages and practice settings are critical to patient care and patient safety. Visual signal distortions, such as various types of noise and artifacts arising in medica...
Telemedicine provides a transformative practice for access to and delivery of timely and high quality healthcare in resource-poor settings. In a typical scenario of telesurgery, surgical tasks are performed with one surgeon situated at the patient’s side and one expert surgeon from a remote site. In order to make telesurgery practice realistic and...
Projects
Projects (5)
Methodologies for studying the acceptability of artificial intelligence (AI) technologies from a multidisciplinary and user-centred perspective; with a particular focus on emotions.
The SUaaVE project aims to make a change in the current situation of public acceptance of Connected Automated Vehicle (CAV) by leaning on a Human-Driven Design (HDD) approach. It will involve all current and future users in a broad sense, i.e., passengers, drivers, vulnerable road users, public authorities, and industry.