Jaroszewksi A.M., Morris R.R., Nock N.K. (2018). Randomized Controlled Trial of an Online Machine Learning-Driven Intervention for Increasing the Use of Crisis Services. In submission.
Doré, B.P., Morris, R.M. (2018). Linguistic synchrony predicts the immediate and lasting impact of online peer-to-peer emotional support. To appear in Psychological Science.
Morris, R.M., Kouddous, K., Kshirsagar, R., Schueller, S. (2018). Towards an artificially empathic conversational agent for mental health applications: system design and user perceptions. To appear in Journal of Medical Internet Research.
Kshirsagar, R., Morris, R.M., Bowman, S. (2017). Detecting and explaining crisis. Computational Linguistics and Clinical Psychology Workshop, arXiv preprint arXiv:1705.09585
Doré, B.P., Morris, R.M., Burr, D.A., Picard, R.W. and Ochsner, K.N. (2017). Helping others regulate emotion predicts increased regulation of one's own emotions and decreased symptoms of depression. Personality and Social Psychology Bulletin.
Morris, R.R., Schueller, M.S., Picard, R.W. (2015). Efficacy of a Web-Based, Peer-To-Peer Cognitive Reappraisal Platform: a Randomized Controlled Trial. Journal of Medical Internet Research.
Morris, R.R. (2014). Crowdsourcing Mental Health and Emotional Well-Being. MIT Dissertation.
Morris, R.R. & Picard, R.W. (2014). Crowd-Powered positive psychological interventions. Journal of Positive Psychology.
Morris, R.R., McDuff, D.J. (2014). Crowdsourcing techniques for affective computing. In Calvo, R. A., D'Mello, S. K., Gratch, J., & Kappas, A. (Eds.) Handbook of Affective Computing, Oxford University Press.
Dontcheva, M., Morris, R.R., Brandt, J., Gerber, E. (2014). Combining crowdsourcing and learning to improve engagement and performance. CHI: ACM Conference on Human Factors in Computing Systems 2014.
Morris, R.R., Dontcheva, M., Finkelstein, A., Gerber, L. (2013). Affect and creative performance on crowdsourcing platforms. Proceedings of Affective Computing and Intelligent Interaction (ACII), Geneva, Switzerland, September 2-5, 2013.
Morris, R.R., Picard, R.W. (2012) Crowdsourcing collective emotional intelligence, Proceedings of Collective Intelligence, Cambridge, MA, April 18-20, 2012.
Morris, R.R. (2011). The emergence of affective crowdsourcing. Presented at the CHI '11 Workshop on Crowdsourcing and Human Computation, Vancouver, Canada.
Hernandez, J., Morris, R.R., Picard, R.W. (2011). Call center stress recognition with person-specific models, Proceedings of Affective Computing and Intelligent Interaction (ACII), Memphis, TN, October 9-12, 2011.
Morris, R.R., Kirschbaum, C., Picard, R.W. (2010). Broadening accessibility through special interests: a new approach for software customization, Proceedings of the 12th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS).
Morris, R.R., Kirschbaum, C., Picard, R.W. (2010). Embedding focused interests into computer-mediated autism interventions, in the Extended Abstract of IMFAR 2010, Philadelphia, PA, USA.
Morris, R.R. (2009). Managing sound sensitivity in autism spectrum disorder: new technologies for customized intervention, Master's Thesis, Massachusetts Institute of Technology, 2009.
Kim B.W., Kennedy D.N., Lehar J., Lee M.J., Blood A.J., Lee S., Perlis R.H., Smoller J.W., Morris R.R., Fava M., Breiter H.C. (2009). Recurrent, robust and scalable patterns underlie human approach and avoidance. Phenotype Genotype Project in Addiction and Mood Disorders (PGP). PLoS One. 2010 May 26;5(5):e10613.
Ganis, G., Morris, R.R., and Kosslyn, S.M. (2009). Neural processes underlying self- and other-related lies: An individual difference approach using fMRI. Social Neuroscience, 4(6):539-53.
Lee, C.H., Morris, R., Goodwin, M., and Picard, R.W. (2008). Lessons learned from a pilot study quantifying face contact and skin conductance in teens with asperger syndrome. Work-In- Progress in the Extended Abstract of CHI 2008, April 5-10, 2008, Florence, Italy.
Morris, R.R. (2003). The subliminal evocation of affective expectations. Undergraduate Thesis, Princeton University. (Advised by Daniel Kahneman, awarded the E.E. Jones Memorial Prize, Howard Warren Senior Thesis Prize)