publications([{
   "lang": "en",
   "type_publi": "icolcomlec",
   "doi": "https://doi.org/10.1145/3772318.3791213",
   "title": "Visualization of Tracking Uncertainty in AR-based Surgical Guidance",
   "url": "https://hal.science/hal-05539752",
   "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.",
   "authors": {
      "1": {
         "first_name": "Chaymae",
         "last_name": "Acherki"
      },
      "2": {
         "first_name": "Laurence",
         "last_name": "Nigay"
      },
      "3": {
         "first_name": "Quentin",
         "last_name": "Roy"
      },
      "4": {
         "first_name": "Thibault",
         "last_name": "Salque"
      }
   },
   "year": 2026,
   "uri": "http://iihm.imag.fr/publication/ANR+26a/",
   "id": 1009,
   "bibtype": "inproceedings",
   "abbr": "ANR+26a",
   "address": "Barcelona (SPAIN), Spain",
   "date": "2026-04-13",
   "type": "Conférences internationales de large diffusion avec comité de lecture sur texte complet",
   "booktitle": "CHI 2026: CHI Conference on Human Factors in Computing Systems"
},
{
   "lang": "en",
   "publisher": "ACM",
   "doi": "https://doi.org/10.1145/3706598.3713350",
   "title": "An Evaluation of Spatial Anchoring to position AR Guidance in Arthroscopic Surgery",
   "url": "https://hal.science/hal-05095338",
   "abstract": "<div><p>This work examines spatial anchoring strategies to position augmented reality guidance during surgery. We consider three strategies: anchoring to the Patient, the surgical Tool, and the Surgeon's head. These strategies were evaluated in a first experiment involving 24 non-professional participants, using two guidance techniques: 3D Trajectory and 2D Crosshair. For 3D Trajectory, Patient and Tool anchoring were more precise than Surgeon anchoring, and Patient anchoring was the most preferred. For 2D Crosshair, no significant effect of anchoring strategies on precision was observed. However, participants preferred Patient and Surgeon anchoring. A second experiment with 6 surgeons confirmed the first experiment's results. For 3D trajectory, Tool anchoring proved more precise than Patient anchoring, despite surgeons' preference for Patient anchoring. These findings contribute to empirical evidence for the design of surgical AR guidance, with potential applications for similar, less critical tasks.</p></div>",
   "authors": {
      "1": {
         "first_name": "Chaymae",
         "last_name": "Acherki"
      },
      "2": {
         "first_name": "Laurence",
         "last_name": "Nigay"
      },
      "3": {
         "first_name": "Quentin",
         "last_name": "Roy"
      },
      "4": {
         "first_name": "Thibault",
         "last_name": "Salque"
      }
   },
   "year": 2025,
   "uri": "http://iihm.imag.fr/publication/ANR+25a/",
   "pages": "1-17",
   "bibtype": "inproceedings",
   "id": 1001,
   "abbr": "ANR+25a",
   "address": "Yokohama, Japan",
   "date": "2025-04-25",
   "type": "Conférences internationales de large diffusion avec comité de lecture sur texte complet",
   "booktitle": "CHI 2025: CHI Conference on Human Factors in Computing Systems",
   "type_publi": "icolcomlec"
}]);