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References from Time-Series Foundation Models for Cognitive Workload Classification using Eye-Tracking Data. Local targets link to admitted publications; unresolved targets remain external evidence.
10.1145/1743666.1743701
10.1145/1743666.1743701 · External reference
10.1177/0018720817690639
10.1177/0018720817690639 · External reference
Unresolved reference
External reference
Systematic review of measurement tools to assess surgeons’ intraoperative cognitive workload
10.1002/bjs.10795 · 2018 · External reference
10.1016/j.apergo.2018.08.028
10.1016/j.apergo.2018.08.028 · External reference
Colet: A dataset for cognitive workload estimation based on eye-tracking
2022 · External reference
Em-cogload: An investigation into age and cognitive load detection using eye tracking and deep learning
10.1016/j.csbj.2024.03.014 · 2024 · External reference
Eye-tracking metrics predict perceived workload in robotic surgical skills training
10.1177/0018720819874544 · 2020 · External reference
Review of eye tracking metrics involved in emotional and cognitive processes
2021 · External reference
Development of nasa-tlx (task load index): Results of empirical and theoretical research
1988 · External reference
10.1145/3637528.3671451
10.1145/3637528.3671451 · External reference
Unresolved reference
External reference
Chronos: Learning the language of time series
2024 · External reference
Moment: A family of open time-series foundation models
2024 · External reference
Unresolved reference
External reference
Methods in cognitive pupillometry: Design, preprocessing, and statistical analysis
2023 · External reference
