Research Interests
Intersection of neuroscience, engineering, and autism
Overview
Dr. Kristina T. Johnson is an Assistant Professor, jointly appointed in the Department of Electrical & Computer Engineering and the Department of Communication Sciences & Disorders. Dr. Johnson is a multi-disciplinary researcher whose work lies at the intersection of engineering, neuroscience, computer science, communication sciences, and autism research. She is especially passionate about advancing science and technology for individuals with complex neurodevelopmental differences, including rare genetic disorders, intellectual disabilities, and absent or limited spoken speech. She specializes in personalized naturalistic studies, human-computer interaction, digital healthcare, wearable sensors, and augmentative communication technology.
Selected Publications
- Johnson, K.T., O’Brien, A.M., Kershenbaum, A., Narain, J., Radhakrishnan, S., Picard, R.W. (2022, in press). Affective Ratings of Nonverbal Vocalizations Produced by Minimally-Speaking Individuals: What Do Naive Listeners Perceive?. In press for Proceedings of the International Conference on Affective Computing and Intelligent Interaction (ACII).
- Narain, J., Johnson, K.T., Quatieri, T., Picard R.W., Maes, P. (2022). Modeling Real-World Affective and Communicative Nonverbal Vocalizations from Minimally Speaking Individuals. IEEE Transactions of Affective Computing. https://doi.org/10.1109/TAFFC.2022.3208233
- Narain, J., Johnson, K.T., Quatieri, T., Picard R.W., Maes, P. (2021) Transfer Learning with Real-World Nonverbal Vocalizations from Minimally Speaking Individuals. Workshop in Interpretable ML in Healthcare at International Conference on Machine Learning (ICML).
- Johnson, K.T. & Picard, R.W. (2020). Advancing Neuroscience through Wearable Devices. Neuron 108(1), 8-12. https://doi.org/10.1016/j.neuron.2020.09.030
- Narain, J.* & Johnson, K.T.*, Ferguson, C., O’Brien, A., Talkar, T., Zhang, Y., Wofford, P., Quatieri, T., Maes, P., Picard, R.W. (2020). Personalized Modeling of Real-World Vocalizations from Nonverbal Individuals. In Proceedings of the International Conference on Multimodal Interactions (ICMI). https://doi.org/10.1145/3382507.3418854 (*Co-first authors/equal contribution)
