IMETA: An Interactive Mobile Eye Tracking Annotation Method for Semi-automatic Fixation-to-AOI mapping-Reference-Cited by-同舟云学术

IMETA: An Interactive Mobile Eye Tracking Annotation Method for Semi-automatic Fixation-to-AOI mapping

Published:2023-03-27 Issue: Volume: Page:
ISSN:
Container-title:28th International Conference on Intelligent User Interfaces
language:
Short-container-title:

Author:

Kopácsi László¹^ORCID,Barz Michael²^ORCID,Bhatti Omair Shahzad³^ORCID,Sonntag Daniel⁴^ORCID

Affiliation:

1. Interactive Machine Learning, German Research Center for Artificial Intelligence (DFKI), Germany and Department of Artificial Intelligence, Eötvös Loránd University (ELTE), Hungary

2. Interactive Machine Learning, German Research Center for Artificial Intelligence (DFKI), Germany and Applied Artificial Intelligence, Oldenburg University, Germany

3. Interactive Machine Learning, German Research Center for Artificial Intelligence (DFKI), Germany

4. German Research Center for Artificial Intelligence (DFKI), Germany and Applied Artificial Intelligence, Oldenburg University, Germany

Funder

European Commission

German Federal Ministry of Education and Research

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581754.3584125

Reference45 articles.

1. Kristin Altmeyer , Sebastian Kapp , Michael Barz , Luisa Lauer , Sarah Malone , Jochen Kuhn , and Roland Brünken . 2020. The effect of augmented reality on global coherence formation processes during STEM laboratory work in elementary school children. (Oct . 2020 ). https://doi.org/10.17605/osf.io/gwhu5 10.17605/osf.io Kristin Altmeyer, Sebastian Kapp, Michael Barz, Luisa Lauer, Sarah Malone, Jochen Kuhn, and Roland Brünken. 2020. The effect of augmented reality on global coherence formation processes during STEM laboratory work in elementary school children. (Oct. 2020). https://doi.org/10.17605/osf.io/gwhu5

2. Error-aware gaze-based interfaces for robust mobile gaze interaction

3. Michael Barz and Daniel Sonntag . 2021. Automatic Visual Attention Detection for Mobile Eye Tracking Using Pre-Trained Computer Vision Models and Human Gaze. Sensors 21, 12 (Jan . 2021 ), 4143. https://doi.org/10.3390/s21124143 Number : 12 Publisher : Multidisciplinary Digital Publishing Institute . 10.3390/s21124143 Michael Barz and Daniel Sonntag. 2021. Automatic Visual Attention Detection for Mobile Eye Tracking Using Pre-Trained Computer Vision Models and Human Gaze. Sensors 21, 12 (Jan. 2021), 4143. https://doi.org/10.3390/s21124143 Number: 12 Publisher: Multidisciplinary Digital Publishing Institute.

4. Aljaž Božič Pablo Palafox Justus Thies Angela Dai and Matthias Nießner. 2021. TransformerFusion: Monocular RGB Scene Reconstruction using Transformers. https://doi.org/10.48550/arXiv.2107.02191 arXiv:2107.02191 [cs]. 10.48550/arXiv.2107.02191

5. Aljaž Božič Pablo Palafox Justus Thies Angela Dai and Matthias Nießner. 2021. TransformerFusion: Monocular RGB Scene Reconstruction using Transformers. https://doi.org/10.48550/arXiv.2107.02191 arXiv:2107.02191 [cs].