Can a Recommender System Support Treatment Personalisation in Digital Mental Health Therapy? A Quantitative Feasibility Assessment Using Data from a Behavioural Activation Therapy App, Lewis, R., Ferguson, F., Wilks, C., Jones, N., Picard, R.W.; CHI Conference on Human Factors in Computing Systems Extended Abstracts (CHI ’22 Extended Abstracts)
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
Matthew Groh, Ziv Epstein, Chaz Firestone, Rosalind Picard. "Deepfake detection by human crowds, machines, and machine-informed crowds." Proceedings of the National Academy of Sciences Jan 2022, 119 (1) e2110013119; DOI: 10.1073/pnas.2110013119
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).
Ferguson, C.* and Lewis, R.*, Wilks, C., Picard, R.W.; The Guardians: Designing a Game for Long-term Engagement with Mental Health Therapy; IEEE Conference of Games 2021 *Joint first authors
Robert Lewis, Yuanbo Liu, Matthew Groh and Rosalind Picard, "Habit Formation Dynamics: Finding Factors Associated with Building Strong Mindfulness Habits" HCI International 2021
R. Lewis, A. Ghandeharioun, S. Fedor, P. Pedrelli, R.W. Picard, D. Mischoulon, "Mixed Effects Random Forests for Personalised Predictions of Clinical Depression Severity", ICML 2021 Computational Approaches to Mental Health workshop
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.
Lewis, Robert, et al. "Shaping Habit Formation Insights with Shapley Values: Towards an Explainable AI-system for Self-understanding and Health Behavior Change." CHI 2021 Workshop Paper. Realizing AI in Healthcare: Challenges Appearing in the Wild.
Meyer, A. K., Fedor, S., Ghandeharioun, A., Mischoulon, D., Picard, R. & Pedrelli, P. (2020). Feasibility and Acceptability of the Empatica E4 Sensor to Passively Assess Physiological Symptoms of Depression. ABCT.
Vujic, A., Tong, S., Picard, R., & Maes, P. (2020). Going with our Guts: Potentials of Wearable Electrogastrography (EGG) for Affect Detection. Proceedings of the 2020 International Conference on Multimodal Interaction.
Johnson, K.T. & Picard, R.W. (2020). Advancing Neuroscience through Wearable Devices. Neuron 108(1), 8-12.
Jeong, Sooyeon, et al. "A Robotic Positive Psychology Coach to Improve College Students’ Wellbeing." Proceedings of the 29th IEEE International Conference on Robot and Human Interactive Communication (Ro-Man 2020) **Best Paper Award**
Sebastian Zepf, Javier Hernandez, Alexander Schmitt, Wolfgang Minker, and Rosalind W. Picard. 2020. Driver Emotion Recognition for Intelligent Vehicles: A Survey. ACM Comput. Surv. 53, 3, Article 64 (June 2020), 30 pages. DOI:https://doi.org/10.1145/3388790
Narain, J.*, Johnson, K.T.*, O’Brien, A., Wofford, P., Maes, P., Picard, R.W. "Nonverbal Vocalizations as Speech: Characterizing Natural-Environment Audio from Nonverbal Individuals with Autism," Proceedings of the Workshop on Laughter and Other Nonverbal Vocalisations, Bielefeld, Germany, October 2020. (*Co-first authors/Equal contribution)
Johnson, K.T.* & Narain, J.*, Maes, P., Picard, R.W., "Augmenting Natural Communication in Nonverbal Individuals with Autism," International Society for Autism Research (INSAR), Seattle, Washington, May 2020. (*Co-first authors/equal contribution)
Johnson, K.T.*, Narain, J.*, Ferguson, C., Picard, R.W., and Maes, P. The ECHOS Platform to Enhance Communication for Nonverbal Children with Autism: A Case Study. Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems (Case Studies Track of CHI 2020). (*Co-first authors/Equal contribution)
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
Narain, J.*, Quach, T.*, Davey, M.*, Park, H., Braezeal, C., and Picard, R. "Promoting Wellbeing with Sunny, a Chatbot that Facilitates Positive Messages within Social Groups". Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems. Accepted. *Equal Contribution.
Nosakhare, E., and Picard. R. 2019. Toward Assessing and Recommending Combinations of Behaviors for Improving Health and Well-Being. ACM Trans. Comput. Healthcare 1, 1, Article 4 (December 2019), 29 pages.
Zhang Y, Weninger F, Schuller B, Picard R "Holistic Affect Recognition using PaNDA: Paralinguistic Non-metric Dimensional Analysis." IEEE Transactions on Affective Computing, December 2019.
Narain, J.*, Johnson, K.T.*, Picard, R.W., Maes, P. "Zero-Shot Transfer Learning to Enhance Communication for Minimally Verbal Individuals with Autism using Naturalistic Data," NeurIPS Workshop on AI for Social Good, December 2019. (*Co-first authors/Equal contribution)
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.
Narain, J.*, Johnson, K.T.*, Picard, R.W., and Maes, P. “Zero-Shot Transfer Learning to Enhance Communication for Minimally Verbal Individuals with Autism using Naturalistic Data”. NeurIPS 2019 Joint Workshop on AI for Social Good. (*Co-first authors/Equal contribution)
Umematsu, T., Sano, A., Taylor, S., and Picard, R. "Improving Students' Daily Life Stress Forecasting using LSTM Neural Networks.", 2019 IEICE Society Conference, Japan, September 2019.
Jones, N., Jaques, N., Pataranutaporn, P., Ghandeharioun, A., & Picard, R. (2019, September). Analysis of Online Suicide Risk with Document Embeddings and Latent Dirichlet Allocation. In 2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW) (pp. 1-5). IEEE.
Rudovic, O., Zhang, M, Schuller, B., Picard, R. "Multi-modal Active Learning From Human Data: A Deep Reinforcement Learning Approach", In 2019 International Conference on Multimodal Interaction (ICMI ’19), October 14–18, 2019, Suzhou, China. ACM, New York, NY, USA.
Nosakhare, E., Picard, R. W. Probabilistic Latent Variable Modeling for Assessing Behavioral Influences on Well-Being," ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’19), August 4–8, 2019, Anchorage, AK, USA. ACM, New York, NY, USA. https://doi.org/10.1145/3292500.3330738
Rudovic, O., Utsumi, Y., Guerrero, R., Peterson, K., Rueckert, D., Picard, R. W. "Meta-weighted Gaussian Process Experts for Personalized Forecasting of AD Cognitive Changes" Machine Learning for Healthcare Conference (ML4HC2019), August 2019.
Belen Saldias F. and Rosalind W. Picard. (2019). Tweet Moodifier: Towards giving emotional awareness to Twitter users. In Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction (ACII 2019). Cambridge, UK.
Umematsu, T., Sano, A., and Picard, R. "Daytime Data and LSTM can Forecast Tomorrow's Stress, Health, and Happiness," the 41st International Engineering in Medicine and Biology Conference (EMBC), p.2186-2190, Berlin, July 2019.
Umematsu, T., Sano, A., Taylor, S., and Picard, R. "Improving Students' Daily Life Stress Forecasting using LSTM Neural Networks." IEEE International Conference on Biomedical and Health Informatics (BHI), Chicago, Illinois, May 2019. (BEST PAPER AWARD - 1st Prize)
Lopez-Martinez D, Eschenfeldt P, Ostvar S, Ingram M, Hur C, Picard R. Deep Reinforcement Learning for Optimal Critical Care Pain Management with Morphine using Dueling Double-Deep Q Networks, in Engineering in Medicine and Biology (EMBC). Berlin, Germany ; 2019.
Rudovic, O., Park, H-W., Busche, J., Schuller, B. , Breazeal, C., Picard, R. W., " Personalized Estimation of Engagement from Videos Using Active Learning with Deep Reinforcement Learning," IEEE CVPR -AMFG W, June 2019.
Slavich G.M., Taylor S., Picard R.W. "Stress measurement using speech: Recent advancements, validation issues, and ethical and privacy considerations," Stress, 2019.
Taylor S., Ferguson C., Peng F., Schoeneich M., Picard R.W. "Use of In-Game Rewards to Motivate Daily Self-Report Compliance: Randomized Controlled Trial," Journal of Medical Internet Research, 21(1), e11683, 2019.
Hernandez J., McDuff D., Quigley K., Maes P., and Picard R., "Wearable Motion-based Heart-rate at Rest: A Workplace Evaluation," Journal of Biomedical and Health Informatics, 2018.
Rudovic, O., Utsumi, Y., Lee, J., Hernandez, J., Castello Ferrer, E., Schuller, B., Picard, R. "CultureNet: A Deep Learning Approach for Engagement Intensity Estimation from Face Images of Children with Autism." IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018).
Exposito, M., Hernandez, J., Picard, R., "Affective Keys: Towards Unobtrusive Stress Sensing of Smartphone Users" In Proceedings of Mobile Human Computer Interaction, Barcelona, Spain, September, 2018
Lopez-Martinez D, Peng K, Steele S, Lee A, Borsook D, Picard R. "Multi-task multiple kernel machines for personalized pain recognition from functional near-infrared spectroscopy brain signals." International Conference on Pattern Recognition (ICPR), Beijing, China, August 2018. "BEST STUDENT PAPER AWARD"
Sano A, Chen W, Lopez-Martinez D, Taylor S, Picard R. Multimodal Ambulatory Sleep Detection Using LSTM Recurrent Neural Networks. Journal of Biomedical and Health Informatics. 2018.
Su, D., Picard, R., Liu, Y. "AMAI: Adaptive Music for Affect Improvement." Proceedings of the 44th International Computer Music Conference (ICMC), Daegu, Korea, August 2018.
Johnson, K.T., Taylor, S., Fedor, S., Jaques, N., Chen, W., Picard, R.W. "Vomit Comet Physiology: Autonomic Changes in Novice Flyers." Proceedings of the International Conference of IEEE Engineering in Medicine and Biology Society (EMBC), Honolulu, Hawaii, July 2018.
Sano,A., Taylor,S., Jaques,N., Chen,W., Lopez-Martinez,D., Nosakhare,E., Rudovic,O., Umematsu,T., and Picard,R., "Mood, Stress and Sleep Sensing with Wearable Sensors and Mobile Phone," The 40th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), July 2018.
Lopez-Martinez D, Picard R. Continuous pain intensity estimation from autonomic signals with recurrent neural networks, in IEEE Engineering in Medicine and Biology Society (EMBC). Hawaii ; 2018.
Vujic, A., Tong, S., Picard, R., Maes, P. (2018) Towards Gut-Brain Computer Interfacing: Gastric Myoelectric Activity as an Index of Subcortical Phenomena. In 3rd International Mobile Brain/Body Imaging Conference, 135-136.
Feffer, M., Rudovic, O., Picard, R. "A Mixture of Personalized Experts for Human Affect Estimation." The 14th International Conference on Machine Learning and Data Mining (MLDM). July 2018.
Rudovic, O., Lee, J., Dai, M., Schuller, B. , Picard, R. W., " Personalized machine learning for robot perception of affect and engagement in autism therapy," Science Robotics, June 2018.
Umematsu, T., Sano, A., Taylor, S., and Picard, R. "Improving Stress Forecasting using LSTM Neural Networks." The 40th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Honolulu, Hawaii, July 2018.
Saunders Wilder, O., Sullivan, J., Johnson, K.T., Palumbo, R.V., Cumpanasiou, C., Picard, R.W., Goodwin, M.S. "Dyadic Physiological Interdependence and Social Reciprocity in ASD," International Society for Autism Research (INSAR), Rotterdam, Netherlands, May 2018.
Sano, A., Taylor, S., McHill, A. W., Phillips, A. J. K., Barger, L. K., Klerman, E., and Picard, R., "Identifying objective physiological markers and modifiable behaviors for self-reported stress and mental health status using wearable sensors and Mobile Phones: Observational Study," Journal of Medical Internet Research, 2018;20(6):e210
Utsumi, Y., Rudovic, O., Peterson, K., Guerrero, R., Picard, R. "Personalized Gaussian Processes for Forecasting of Alzheimer's Disease Assessment Scale-Cognition Sub-Scale (ADAS-Cog13)." The 40th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). May 2018.
Peng F., LaBelle V., Yue E., and Picard R.. "A Trip to the Moon: Personalized Animated Movies for Self-reflection." Proceedings of Conference on Human Factors in Computing Systems. ACM, 2018.
Kleiman, E. M., Turner, B. J., Fedor, S., Beale, E. E., Picard, R. W., Huffman, J. C., & Nock, M. K. "Digital phenotyping of suicidal thoughts." Depression and anxiety, April 2018
Taylor, S.*, Sano, A.*, Ferguson, C., Mohan, A., Picard, R. "QuantifyMe: An Open-Source Automated Single-Case Experimental Design Platform," Sensors, April 2018. (*equal contribution)
Jaques, N., Engel, J., Ha, D., Bertsch, F., Picard, R., and Eck, D. "Learning via social awareness: improving sketch representations with facial feedback." International Conference on Learning Representations (ICLR) Workshop, Vancouver, Canada, April 2018.
Lopez-Martinez, D., and Picard, R. "Skin conductance deconvolution for pain estimation". International Conference on Biomedical and Health Informatics (BHI), Las Vegas, USA, March 2018
Taylor, S.*, Jaques, N.*, Nosakhare, E., Sano, A. and Picard, R., "Personalized Multitask Learning for Predicting Tomorrow's Mood, Stress, and Health," in IEEE Transactions on Affective Computing, vol. PP, no. 99, pp. 1-1. doi: 10.1109/TAFFC.2017.2784832 *Both authors contributed equally. WINNER: BEST OF COLLECTION
Peterson, K., Rudovic, O., Guerrero, R., Picard, R. "Personalized Gaussian Processes for Future Prediction of Alzheimer's Disease Progression." ML4H: Machine Learning for Health. NIPS'W (2017)
Lopez-Martinez, D., Rudovic, O., Picard, R. "Physiological and behavioral profiling for nociceptive pain estimation using personalized multitask learning," NIPS Workshop on Machine Learning for Healthcare, Long Beach, CA, December 2017.
Sano, A.*, Taylor, S.*, Ferguson, C., Mohan A., Picard, R. "QuantifyMe: An Automated Single-Case Experimental Design Platform," In Proc. International Conference on Wireless Mobile Communication and Healthcare (MobiHealth), Vienna, Austria, November 2017. (*equal contribution)
Howe, E., Ghandeharioun, A., Pedrelli, P., Mischoulon, D., Picard, R., Fedor, S. "Location Patterns from Phone Sensors May Help Predict Depressive Symptoms: A Longitudinal Pilot Study," Association for Behavioral and Cognitive Therapies Annual Convention – Tech SIG, San Diego, CA, November 2017.
Jaques, N., Taylor, S., Sano, A., and Picard, R. International Conference on Affective Computing and Intelligent Interaction (ACII), San Antonio, Texas, October 2017
Pedrelli, P., Howe, E., Mischoulon, D., Picard, R., Ghandeharioun, A., Fedor, S."Integrating EMA, clinical assessment and wearable sensors to examine the association between MDD and alcohol use," Connected Health Conference, Boston, MA, October 2017.
Ghandeharioun, A., Fedor, S., Sangermano, L., Ionescu, D., Alpert, J., Dale, C., Sontag, D., Picard, R. "Objective assessment of depressive symptoms with machine learning and wearable sensors data," International Conference on Affective Computing and Intelligent Interaction (ACII), San Antonio, Texas, October 2017.