Enhancing Perceptual and Cognitive Processes in Augmented Reality Studies to Real-World Applications

Cotutelle PhD research project funded through MSCA COFUND AUFRANDE

Cotutelle doctoral research · 2025–2028

Making Augmented Reality research travel from carefully controlled experiments to the visually rich, changing situations in which people actually use it.

Augmented RealityPerceptionHuman factorsSpatial design

CNRS IRL CROSSINGFranco-Australian cotutelleIMT Atlantique × Adelaide UniversityA joint doctorate within CNRS IRL CROSSING, funded through the Horizon Europe MSCA COFUND AUFRANDE programme.

Abstract

Augmented Reality (AR) experiments are commonly carried out in tightly controlled laboratories, although real applications involve moving users, complex backgrounds, changing illumination, shadows, and interactions with both physical and virtual objects. These factors can create conflicts between real and augmented perceptual cues and limit the direct transfer of laboratory findings to ecological situations.

This cotutelle PhD project investigates how perceptual and cognitive processes studied in controlled AR experiments can be understood and supported in realistic environments. The work combines computer science, psychology, Human-Computer Interaction, experimental methods, and perception-driven spatial design.

Research trajectory

01

Isolate the cue

Controlled studies identify how a single visual condition—such as opacity, background, light, or shadow—changes the perception of augmented content.

02

Study the interaction

Experiments bring cues together with movement, physical surroundings, and real–virtual spatial relations to reveal their combined effects.

03

Design for use

Findings inform visual assistance, navigation, and interactive guidance that remain understandable in realistic situations.

Research objectives

01 · Understand

Characterize laboratory–field differences

Identify perceptual conflicts caused by motion, lighting, shadows, backgrounds, and real–virtual interactions.

02 · Translate

Develop transferable methods

Devise ways to adapt controlled experimental results to realistic AR scenarios.

03 · Validate

Evaluate ecological conditions

Assess perceptual and cognitive performance in representative environments and tasks.

04 · Apply

Support real applications

Improve visual assistance, navigation, and interactive guidance in complex environments.

People involved

PhD student

Portrait of Min Ni

Doctoral candidate · 2025–2028

Min Ni

Min explores how environmental cues shape augmented perception beyond the laboratory, from visual conditions to real–virtual spatial interaction.

Current focus: surface-contact perception in optical see-through AR.

Supervisors

Portrait of Gilles Coppin

Doctoral co-supervision · IMT Atlantique

Gilles Coppin

Contributes expertise in human perception and experimental psychology.

IMT AtlantiqueLab-STICCCROSSING
Portrait of Étienne Peillard

Doctoral co-supervision · LS2N / IMT Atlantique

Étienne Peillard

Contributes perception-driven AR design and evaluation methods.

LS2NCROSSING
Portrait of Tim Chen

Doctoral co-supervision · Adelaide University

Dr Tim Chen

Senior Lecturer in Human–Computer Interaction and Augmented Reality, contributing expertise in spatial computing and ecological evaluation.

Adelaide UniversityHuman-Computer Interaction LaboratoryCROSSING

The supervision is complemented by the broader AUFRANDE collaboration with Anna Ma-Wyatt, bringing expertise in perception.

Joint doctoral environment

Cotutelle · 2025–2028IMT Atlantique × Adelaide University

Joint enrolment from February 2025 to January 2028.

Research environment

Developed within the CNRS International Research Laboratory CROSSING, the French–Australian laboratory for Human / Autonomous Agents Teaming. This collaboration connects expertise in AR, perception, spatial behaviour, and ecological evaluation.

Publications

(2026). How Opacity and Background Affect Surface Contact Perception in Optical See-Through AR. IEEE TVCG.

PDF Project

Funding

This research project is funded through the Australia-France Network of Doctoral Excellence (AUFRANDE), a Horizon Europe Marie Skłodowska-Curie Actions COFUND doctoral programme under grant agreement No. 101081465, with support from IMT Atlantique and Adelaide University. AUFRANDE is the funding and doctoral-training programme, not the name of this research project.