Jérémie Garcia

Dr. Jérémie Garcia

orcid

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
15 May 2025 in Human Factors: The Journal of the Human Factors and Ergonomics Society
Verified
Journal Article
Closed access
ADAlexandre Duchevet
Alexandre Duchevet
JIJean-Paul Imbert
Jean-Paul Imbert
JGJérémie Garcia
Jérémie Garcia
BLBenoît Lamirault
Benoît Lamirault
MCMickaël Causse
Mickaël Causse
Objective: We aimed to characterize the impact of startle and surprise, both independently and in combination, on subjective feelings, behavior (task performance and gaze behavior), and several physiological parameters. Background: The effects of startle and surprise are known to affect pilots’ cognitive performance, with potential impact on safety. Startle and surprise can occur either together or independently, yet no studies have experimentally distinguished their specific effects. Method: Participants ( n = 45) were each assigned to one of the three conditions while performing the MATB-II task. In the startle condition, participants were subjected to an expected loud sound. In the surprise condition, an unexpected reverse video effect was applied to the experimental interface. In the combination condition, participants were exposed to both stimuli simultaneously. Results: Surprise was associated with an increase in skin conductance without affecting performance. In contrast, startle was marked by a decline in performance on the communication sub-task, increased skin conductance and heart rate, and a narrowing of attention. When startle and surprise were combined, the results mirrored those of startle alone but included a stronger feeling of startle and surprise, and a more prolonged heart rate increase. Conclusion: Startle and surprise combined yielded more numerous significant effects on subjective, behavioral, and physiological measures than startle and surprise independently. Application: Identifying the specific impacts of startle and surprise could pave the way for their automatic detection using artificial intelligence. Safety could be enhanced through the design of specific countermeasures to help the crew cope with such states.

21 November 2016 in Journal of New Music Research
Verified
Journal Article
Closed access
JGJérémie Garcia
Jérémie Garcia
TCThibaut Carpentier
Thibaut Carpentier
JBJean Bresson
Jean Bresson
Spat-scene is a graphical user interface and spatial sound processor embedded in computer-aided composition software. It combines the interface and the rendering engine of Ircam Spatialisateur with a compositional and temporal control of spatial scene descriptors. Previous studies of the composition process as well as interviews with composers emphasized the needs for tools integrated within compositional environments allowing for interactive input, visualization and manipulation of spatio-temporal data in spatial scene descriptions. The spat-scene interface addresses such requirements by providing a timeline view synchronized with the spatial view of the Spatialisateur, three-dimensional editors as well as several internal and external rendering possibilities, all in a unified framework. spat-scene is implemented in the OpenMusic visual programming language, and so can be articulated with other musical structures and compositional processes. Through the case study of sound spatialization, this work tackles the challenge of authoring real-time processes in a compositional context.


25 April 2025
Verified
Conference Paper
Open access
PXPeisen Xu
Peisen Xu
JGJérémie Garcia
Jérémie Garcia
WOWei Tsang Ooi
Wei Tsang Ooi
CJChristophe Jouffrais
Christophe Jouffrais

19 April 2023
Verified
Conference Paper
Open access
DVDong-Bach Vo
Dong-Bach Vo
SPSylvain Pauchet
Sylvain Pauchet
IJIsabelle Jolly
Isabelle Jolly
FSFlorine Simon
Florine Simon
ABAnke Brock
Anke Brock
JGJérémie Garcia
Jérémie Garcia

11 March 2025 in Engineering Proceedings
Verified
Conference Paper
Open access
PDF file
JGJérémie Garcia
Jérémie Garcia
DVDong-Bach Vo
Dong-Bach Vo
ABAnke Brock
Anke Brock
VPVincent Peyruqueou
Vincent Peyruqueou
ABAlexandre Battut
Alexandre Battut
GEGülçin Ermiş
Gülçin Ermiş
This paper discusses SESAR’s Auto-Steer Taxi at Airport (ASTAIR) project, which seeks to advance airport ground operations including engine-off taxiing to move towards sustainable airports. The ASTAIR concept integrates human–AI teaming to optimize aircraft movement from gates to runways, with the primary objectives of improving predictability, efficiency, and environmental sustainability at large airports. Building on previous initiatives such as SESAR’s AEON, ASTAIR brings high-level automation to tasks like autonomous taxiing and vehicle routing. The system assists operators by calculating conflict-free routes for vehicles and dynamically adjusting operations based on real-time data. Based on workshops with several stakeholders, we describe the operational challenges involved in implementing ASTAIR, including managing parking stand availability and adapting to unforeseen events. A significant challenge highlighted is the human–automation partnership, where AI plays a supportive role but humans retain control over critical decisions, particularly in cases of system failure. The need for clear and consistent collaboration between AI and human operators is emphasized to ensure safety, efficiency, and improved compliance with take-off schedules, which in turn facilitates in-flight optimization.