Published on in Vol 7, No 2 (2020): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15581, first published .
Value of Eye-Tracking Data for Classification of Information Processing–Intensive Handling Tasks: Quasi-Experimental Study on Cognition and User Interface Design

Value of Eye-Tracking Data for Classification of Information Processing–Intensive Handling Tasks: Quasi-Experimental Study on Cognition and User Interface Design

Value of Eye-Tracking Data for Classification of Information Processing–Intensive Handling Tasks: Quasi-Experimental Study on Cognition and User Interface Design

Journals

  1. Weiss K, Hoermandinger C, Mueller M, Schmid Daners M, Potapov E, Falk V, Meboldt M, Lohmeyer Q. Eye Tracking Supported Human Factors Testing Improving Patient Training. Journal of Medical Systems 2021;45(5) View
  2. Widhalm G, Abart T, Noeske M, Kumer L, Ebenberger K, Atteneder C, Berger A, Laufer G, Wiedemann D, Zimpfer D, Schima H, Wagner M, Schlöglhofer T. Human Factors Evaluation of HeartMate 3 Left Ventricular Assist Device Peripherals: An Eye Tracking Supported Simulation Study. Journal of Medical Systems 2023;47(1) View
  3. Novák J, Masner J, Benda P, Šimek P, Merunka V. Eye Tracking, Usability, and User Experience: A Systematic Review. International Journal of Human–Computer Interaction 2024;40(17):4484 View
  4. Wang F, Jiang Z, Cheng K, Fan G, Zhou H. A multimodal approach for fostering knowledge transfer in engineering design activity: an eye-tracking and fNIRS study. Journal of Engineering Design 2024;35(12):1518 View