Rosy Southwell

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Sidney D'MelloUniversity of Colorado BoulderAdresse e-mail validée de colorado.edu
Nicolas BarascudSnap Inc.Adresse e-mail validée de snap.com
Karl FristonUniversity College LondonAdresse e-mail validée de ucl.ac.uk
Cécile GalUniversity of CopenhagenAdresse e-mail validée de psy.ku.dk
E. Margaret PerkoffAdresse e-mail validée de colorado.edu
Julie GreggBinghamton UniversityAdresse e-mail validée de binghamton.edu
Anna HughesUniversity of EssexAdresse e-mail validée de essex.ac.uk
Alan Archer-BoydBBC R&DAdresse e-mail validée de bbc.co.uk
Richard E TurnerProfessor, University of CambridgeAdresse e-mail validée de cam.ac.uk
Robert P CarlyonMRC Cognition & Brain Sciences Unit, University of CambridgeAdresse e-mail validée de mrc-cbu.cam.ac.uk
Martha Stone PalmerProfessor of Linguistics, Computer Science, University of ColoradoAdresse e-mail validée de colorado.edu
Ananya GaneshGraduate Student, University of Colorado BoulderAdresse e-mail validée de colorado.edu
Louis TayWilliam C. Byham Professor of Industrial-Organizational Psychology, Purdue UniversityAdresse e-mail validée de purdue.edu
Samuel PughUniversity of Colorado BoulderAdresse e-mail validée de colorado.edu
Jeffrey B. BushUniversity of Colorado BoulderAdresse e-mail validée de colorado.edu
Peter W FoltzResearch Professor, Institute of Cognitive Science Univ of ColoradoAdresse e-mail validée de colorado.edu
Jie CaoPostdoctoral Researcher, NSF-iSAT, University of Colorado BoulderAdresse e-mail validée de colorado.edu
James H. MartinProfessor of Computer Science, University of Colorado BoulderAdresse e-mail validée de colorado.edu
Jon Z. CaiUniversity of Colorado BoulderAdresse e-mail validée de colorado.edu
Caitlin MillsAssistant Professor, University of MinnesotaAdresse e-mail validée de umn.edu

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Rosy Southwell

University of Colorado, Boulder

Adresse e-mail validée de colorado.edu

Cognitive Neuroscience Predictive Coding Machine Learning Auditory Neuroscience EEG


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Is predictability salient? A study of attentional capture by auditory patterns R Southwell, A Baumann, C Gal, N Barascud, K Friston, M Chait Philosophical Transactions of the Royal Society B: Biological Sciences 372 …, 2017	130	2017
Enhanced deviant responses in patterned relative to random sound sequences R Southwell, M Chait Cortex 109, 92-103, 2018	73	2018
Development and validation of a spectro-temporal processing test for cochlear-implant listeners AW Archer-Boyd, RV Southwell, JM Deeks, RE Turner, RP Carlyon The Journal of the Acoustical Society of America 144 (5), 2983-2997, 2018	36	2018
Psychological measurement in the information age: Machine-learned computational models SK D’mello, L Tay, R Southwell Current Directions in Psychological Science 31 (1), 76-87, 2022	22	2022
What eye movements reveal about later comprehension of long connected texts R Southwell, J Gregg, R Bixler, SK D'Mello Cognitive Science 44 (10), e12905, 2020	20	2020
Machine-learned computational models can enhance the study of text and discourse: A case study using eye tracking to model reading comprehension SK D’Mello, R Southwell, J Gregg Discourse processes 57 (5-6), 420-440, 2020	19	2020
Challenges and Feasibility of Automatic Speech Recognition for Modeling Student Collaborative Discourse in Classrooms. R Southwell, S Pugh, EM Perkoff, C Clevenger, JB Bush, R Lieber, ... International Educational Data Mining Society, 2022	15	2022
A comparative analysis of automatic speech recognition errors in small group classroom discourse J Cao, A Ganesh, J Cai, R Southwell, EM Perkoff, M Regan, K Kann, ... Proceedings of the 31st ACM Conference on User Modeling, Adaptation and …, 2023	10	2023
Quantifying peripheral and foveal perceived differences in natural image patches to predict visual search performance AE Hughes, RV Southwell, ID Gilchrist, DJ Tolhurst Journal of vision 16 (10), 18-18, 2016	8	2016
Gaze-based predictive models of deep reading comprehension R Southwell, C Mills, M Caruso, SK D’Mello User Modeling and User-Adapted Interaction 33 (3), 687-725, 2023	2	2023
Brain Responses Track Patterns in Sound R Southwell University College London, 2019	1	2019
Uncertainty in ratings for perceived differences in naturalistic image stimuli in peripheral vision D Tolhurst, A Hughes, O Meacock, I Gilchrist, R Southwell Perception 43 (10), 1129-1129, 2014	1	2014
Visual search speed is driven primarily by visual similarity of objects in peripheral, not foveal vision R Southwell, A Hughes, D Tolhurst, I Gilchrist Perception 43 (10), 1128-1128, 2014	1	2014
Automatic Speech Recognition Tuned for Child Speech in the Classroom R Southwell, W Ward, VA Trinh, C Clevenger, C Clevenger, E Watts, ... ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024		2024
Sadness facilitates “deeper” reading comprehension: a behavioural and eye tracking study C Mills, R Southwell, SK D’Mello Cognition and Emotion 38 (1), 171-179, 2024		2024
Mind the Gap between the Application Track and the Real World A Ganesh, J Cao, EM Perkoff, R Southwell, M Palmer, K Kann Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023		2023
Getting the Wiggles Out: Movement Between Tasks Predicts Future Mind Wandering During Learning Activities R Southwell, CE Peacock, SK D’Mello International Conference on Artificial Intelligence in Education, 489-501, 2023		2023
Towards Ecological Measurement of Complex Cognitive Processes: Functional-Near Infrared Spectroscopy of Brain Activity During Reading M Ceko, L Hirshfield, E Doherty, R Southwell, S D'Mello bioRxiv, 2023.12. 13.571603, 2023		2023
Going Deep and Far: Gaze-Based Models Predict Multiple Depths of Comprehension during and One Week Following Reading. M Caruso, CE Peacock, R Southwell, G Zhou, SK D'Mello International Educational Data Mining Society, 2022		2022
Eye Movements During Reading Can Predict Deep Comprehension R Southwell, C Mills, S D’Mello EasyChair, 2020		2020

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