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Thibault Salque

dblp:403/0175 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2026
0009-0009-3513-1936ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 2 · 2 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
2 papers
Immersive interaction · 73% Human-AI interaction · 27%
Interdisciplinary, comprehensive, and emerging computing
2 papers
Medical and health informatics · 100%
Computer graphics and multimedia
1 paper
Visualization and visual analytics · 100%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Immersive interaction
augmented reality
1.922026
Visualization of Tracking Uncertainty in AR-based Surgical Guidance · CHI 2026
An Evaluation of Spatial Anchoring to position AR Guidance in Arthroscopic Surgery · CHI 2025
Human-AI interaction › explainable AI › uncertainty communication
uncertainty visualization
1.012026
Visualization of Tracking Uncertainty in AR-based Surgical Guidance · CHI 2026
Immersive interaction › augmented reality
surgical guidance
0.912025
An Evaluation of Spatial Anchoring to position AR Guidance in Arthroscopic Surgery · CHI 2025
Medical and health informatics › computer-assisted surgery
surgical guidance
0.312026
Visualization of Tracking Uncertainty in AR-based Surgical Guidance · CHI 2026
Visualization and visual analytics
uncertainty visualization
0.312026
Visualization of Tracking Uncertainty in AR-based Surgical Guidance · CHI 2026
Medical and health informatics
computer-assisted surgery
0.312025
An Evaluation of Spatial Anchoring to position AR Guidance in Arthroscopic Surgery · CHI 2025

Methods — techniques the papers use, named apart from their topics

visualization design · 3.0user study · 3.0expert study · 3.0user evaluation · 1.7spatial anchoring · 1.7
YearPublicationVenuePosition
2026 Visualization of Tracking Uncertainty in AR-based Surgical Guidance
abstract
Uncertainty caused by instrument tracking errors affects critical tasks such as surgery assisted by Augmented Reality (AR) guidance. This work investigates whether visualizing such uncertainty can improve task performance, trust, and confidence. We present four visualization techniques: Cone, Circle, Gauge, and Color. A two-part study evaluated these techniques on a surgical drilling task, first with 24 non-professional participants and then with 4 professional surgeons. Results indicate that uncertainty visualization improved drilling accuracy by 24% but increased task time by 76%. It also enhanced user confidence and trust in the system, with Cone and Circle as the most preferred visualizations. Based on our findings, we discuss design recommendations for integrating uncertainty visualization into AR-based surgical systems. This work paves the way for a higher success rate in surgical procedures.
Chaymae Acherki, Laurence Nigay, Quentin Roy, Thibault Salque
CHI4
2025 An Evaluation of Spatial Anchoring to position AR Guidance in Arthroscopic Surgery
abstract
International audience
Chaymae Acherki, Laurence Nigay, Quentin Roy, Thibault Salque
CHI4