Neska Elhaouij

Lecamwasam, K., Gutierrez Arango, S., Singh, N., Elhaouij, N., Addae, M., & Picard, R. (2023, April). Investigating the Physiological and Psychological Effect of an Interactive Musical Interface for Stress and Anxiety Reduction. In Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems (pp. 1-9).

Kyung Yun Choi, Neska ElHaouij, Jinmo Lee, Rosalind W. Picard, and Hiroshi Ishii. 2022. Design and Evaluation of a Clippable and Personalizable Pneumatic-haptic Feedback Device for Breathing Guidance. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6, 1, Article 6 (March 2022), 36 pages. https://doi.org/10.1145/3517234

Cristina Bustos, Neska Elhaouij, Albert Sole-Ribalta, Javier Borge-Holthoefer, Agata Lapedriza, and Rosalind Picard. "Predicting Driver Self-Reported Stress by Analyzing the Road Scene." in Proceedings of International Conference on Affective Computing and Intelligent Interaction (ACII 2021), preprint arXiv:2109.13225 (2021).

Jinmo Lee, Neska Elhaouij, and Rosalind Picard. 2021. AmbientBreath: Unobtrusive Just-in-time Breathing Intervention Using Multi-sensory Stimulation and its Evaluation in a Car Simulator. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5, 2, Article 71 (June 2021), 30 pages. DOI:https://doi.org/10.1145/3463493

Kyung Yun Choi, Jinmo Lee, Neska El Haouij, Rosalind W. Picard, and Hiroshi Ishii. 2021. aSpire: Clippable, Mobile Pneumatic-Haptic Device for Breathing Rate Regulation via Personalizable Tactile Feedback. In CHI Conference on Human Factors in Computing Systems Extended Abstracts (CHI ’21 Extended Abstracts), May 8–13, 2021, Yokohama, Japan. ACM, New York, NY, USA, 7 pages.

Sebastian Zepf, Neska ElHaouij, Wolfgang Minker, Javier Hernandez, and Rosalind W. Picard. 2020. EmpathicGPS: Exploring the Role of Voice Tonality in Navigation Systems during Simulated Driving. In Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems (CHI EA '20). Association for Computing Machinery, New York, NY, USA, 1–7. DOI:https://doi.org/10.1145/3334480.338293

Lopez-Martinez, Daniel, Neska Elhaouij, and Rosalind Picard. "Detection of Real-world Driving-induced Affective State Using Physiological Signals and Multi-view Multi-task Machine Learning." In 2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW), pp. 356-361. IEEE, 2019.

Zepf, S., El Haouij, N., Lee, J., Ghandeharioun, A., Hernandez, J., & Picard, R. W. 2020. Studying Personalized Just-in-time Auditory Breathing Guides and Potential Safety Implications during Simulated Driving. In Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization (pp. 275-283).