Personality trait recognition from everyday smartphone typing dynamics in naturalistic conditions, using deep learning on keystroke patterns. IEEE Transactions on Affective …
Multimodal affective state prediction from smartphone touch and sensor data in naturalistic conditions, using deep learning fusion. CHI 2022.
Semi-supervised learning for affective state prediction from smartphone touch data, leveraging abundant unlabeled naturalistic data. CHI 2020.
Affective state prediction during mobile learning using wearable biometric sensors and stylus interaction data. EDM 2019.
Multimodal deep learning systems for affective state prediction from smartphone sensors, biometric data, egocentric vision, and physiological signals — enabling real-world …