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Oswald Barral
Oswald Barral
HealthQB Technologies
Verified email at yourhealthqb.com
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Cited by
Cited by
Year
The psychophysiology primer: a guide to methods and a broad review with a focus on human–computer interaction
B Cowley, M Filetti, K Lukander, J Torniainen, A Henelius, L Ahonen, ...
Foundations and Trends® in Human–Computer Interaction 9 (3-4), 151-308, 2016
1522016
Predicting Term-Relevance from Brain Signals
MJA Eugster, T Ruotsalo, MM Spapé, I Kosunen, O Barral, N Ravaja, ...
1102014
Toward personalized XAI: A case study in intelligent tutoring systems
C Conati, O Barral, V Putnam, L Rieger
Artificial intelligence 298, 103503, 2021
862021
Natural brain-information interfaces: Recommending information by relevance inferred from human brain signals
MJA Eugster, T Ruotsalo, MM Spapé, O Barral, N Ravaja, G Jacucci, ...
Scientific reports 6 (1), 38580, 2016
542016
Exploring peripheral physiology as a predictor of perceived relevance in information retrieval
O Barral, MJA Eugster, T Ruotsalo, MM Spapé, I Kosunen, N Ravaja, ...
Proceedings of the 20th international conference on intelligent user …, 2015
392015
No Need to Laugh Out Loud: Predicting Humor Appraisal of Comic Strips Based on Physiological Signals in a Realistic Environment
O Barral, I Kosunen, G Jacucci
ACM Transactions on Computer-Human Interaction (TOCHI) 24 (6), 40:1--40:29, 2017
312017
Extracting relevance and affect information from physiological text annotation
O Barral, I Kosunen, T Ruotsalo, MM Spapé, MJA Eugster, N Ravaja, ...
User Modeling and User-Adapted Interaction 26, 493-520, 2016
312016
Integrating neurophysiologic relevance feedback in intent modeling for information retrieval
G Jacucci, O Barral, P Daee, M Wenzel, B Serim, T Ruotsalo, P Pluchino, ...
Journal of the Association for Information Science and Technology 70 (9 …, 2019
272019
Covert persuasive technologies: bringing subliminal cues to human-computer interaction
O Barral, G Aranyi, S Kouider, A Lindsay, H Prins, I Ahmed, G Jacucci, ...
Persuasive Technology: 9th International Conference, PERSUASIVE 2014, Padua …, 2014
202014
Understanding the effectiveness of adaptive guidance for narrative visualization: a gaze-based analysis
O Barral, S Lallé, C Conati
Proceedings of the 25th international conference on intelligent user …, 2020
172020
Classification of Alzheimer¢s disease leveraging multi-task machine learning analysis of speech and eye-movement data
H Jang, T Soroski, M Rizzo, O Barral, A Harisinghani, S Newton-Mason, ...
Frontiers in Human Neuroscience 15, 716670, 2021
142021
Non-invasive classification of Alzheimer¢s disease using eye tracking and language
O Barral, H Jang, S Newton-Mason, S Shajan, T Soroski, G Carenini, ...
Machine Learning for Healthcare Conference, 813-841, 2020
132020
Eye-tracking to predict user cognitive abilities and performance for user-adaptive narrative visualizations
O Barral, S Lallé, G Guz, A Iranpour, C Conati
Proceedings of the 2020 international conference on multimodal interaction …, 2020
122020
Applying physiological computing methods to study psychological, affective and motivational relevance
O Barral, G Jacucci
Symbiotic Interaction: Third International Workshop, Symbiotic 2014 …, 2014
112014
Effect of adaptive guidance and visualization literacy on gaze attentive behaviors and sequential patterns on magazine-style narrative visualizations
O Barral, S Lallé, A Iranpour, C Conati
ACM Transactions on Interactive Intelligent Systems (TiiS) 11 (3-4), 1-46, 2021
92021
Developing a symbiotic system for scientific information seeking: the mindsee project
L Gamberini, A Spagnolli, B Blankertz, S Kaski, J Freeman, L Acqualagna, ...
Symbiotic Interaction: 4th International Workshop, Symbiotic 2015, Berlin …, 2015
92015
Motivational intensity and visual word search: Layout matters
M Filetti, O Barral, G Jacucci, N Ravaja
Plos one 14 (7), e0218926, 2019
72019
How semantic processing of words evokes changes in pupil
P Pluchino, L Gamberini, O Barral, F Minelle
Symbiotic Interaction: Third International Workshop, Symbiotic 2014 …, 2014
62014
Machine learning analysis of speech and eye tracking data to distinguish Alzheimer's clinic patients from healthy controls: Biomarkers: Searching for Alzheimer's through the eyes
TS Field, SM Newton‐Mason, S Shajan, O Barral, H Jang, T Soroski, ...
Alzheimer's & Dementia 16, e046742, 2020
52020
Influence of Reading Speed on Pupil Size as a Measure of Perceived Relevance
O Barral, I Kosunen, G Jacucci
Proceedings of the Joint Workshop on Personalized Information Access (PIA …, 2014
52014
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