How to navigate everyday distractions: Leveraging optimal feedback to train attention control M Wirzberger, A Lado, L Eckerstorfer, I Oreshnikov, JC Passy, A Stock, ... Cognitive Science Society, 1736, 2020 | 12 | 2020 |
ACTrain: Ein KI-basiertes Aufmerksamkeitstraining für die Wissensarbeit M WIRZBERGER, I ORESHNIKOV, JC PASSY, A LADO, A SHENHAV, ... Frühjahrskongress 2020, Digitaler Wandel, digitale Arbeit, digitaler Mensch?, 2020 | 5 | 2020 |
Synthetic faces generated with the facial action coding system or deep neural networks improve speech-in-noise perception, but not as much as real faces Y Yu, A Lado, Y Zhang, JF Magnotti, MS Beauchamp Frontiers in Neuroscience 18, 1379988, 2024 | 1 | 2024 |
Repeatedly experiencing the McGurk effect induces long-lasting changes in auditory speech perception JF Magnotti, A Lado, Y Zhang, A Maasø, A Nath, MS Beauchamp Communications Psychology 2 (1), 25, 2024 | 1 | 2024 |
The Effect on Speech-in-Noise Perception of Real Faces and Synthetic Faces Generated with either Deep Neural Networks or the Facial Action Coding System Y Yu, A Lado, Y Zhang, JF Magnotti, MS Beauchamp bioRxiv, 2024 | 1 | 2024 |
The Noisy Encoding of Disparity (NED) Model Predicts Perception of the McGurk Effect in Native Japanese Speakers A Lado, J Magnotti, MS Beauchamp Journal of Vision 24 (10), 1315-1315, 2024 | | 2024 |
Dynamic Synthetic Faces Improve the Intelligibility of Noisy Speech, But Not As Much As Real Faces Y Yu, A Lado, Y Zhang, J Magnotti, MS Beauchamp Journal of Vision 24 (10), 1159-1159, 2024 | | 2024 |
The noisy encoding of disparity model predicts perception of the McGurk effect in native Japanese speakers JF Magnotti, A Lado, MS Beauchamp Frontiers in Neuroscience 18, 1421713, 2024 | | 2024 |
Optimal feedback improves behavioral focus during self-regulated computer-based work M Wirzberger, A Lado, M Prentice, I Oreshnikov, JC Passy, A Stock, ... Scientific Reports 14 (1), 3124, 2024 | | 2024 |