[ ] [ ] [ arXiv ] [ ]
Ong, D. C., Zaki, J., & Perry, A. (under review). Mu rhythm suppression over sensorimotor regions is associated with greater empathic accuracy.
Ong, D. C., Wu, Z., Zhi-Xuan, T., Reddan, M., Kahhale, I., Mattek, A., & Zaki, J. (in press). Modeling emotion in complex stories: the Stanford Emotional Narratives Dataset. IEEE Transactions on Affective Computing.
Ong, D. C., Soh, H., Zaki, J., & Goodman, N. D. (in press). Applying Probabilistic Programming to Affective Computing. IEEE Transactions on Affective Computing.
Material from this paper was presented as a Tutorial at Affective Computing and Intelligent Interaction, in Cambridge, UK, September 2019:
Ong, D. C., Tan, Z.-X., Soh, H., Zaki, J., & Goodman, N. D. (2019). "Integrating Theory-Driven and Data-Driven Approaches to Affective Computing via Deep Probabilistic Programming".
and at a Tutorial at A*STAR, Singapore, June 2018.
Ong, D. C., & Goodman, N. D. (2018). "Applying Probabilistic Programming to building Human-Centric AI Technologies".
Xie, Y., Bodala, I. P., Ong, D. C., Hsu, D., & Soh, H. (2019). Robot Capability and Intention in Trust-based Decisions across Tasks. In Proceedings of the 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI) 2019, 39-47.
Tan, Z. X.*, Goel, A.*, Nguyen, T.-S.*, & Ong, D. C. (2019). A Multimodal LSTM for Predicting Listener Empathic Responses over time. Presented at the OMG-Empathy Challenge workshop at the 14th IEEE International Conference on Automatic Face and Gesture Recognition (FG) 2019.
* equal contribution
[ arXiv ]
Williams, W. C., Morelli, S. A., Ong, D. C., & Zaki, J. (2018). Interpersonal emotion regulation: Implications for affiliation, perceived support, relationships, and well-being. Journal of Personality and Social Psychology, 115(2), 224-254.
Morelli, S. A., Ong, D. C., Makati, R., Jackson, M. O., & Zaki, J. (2017). Empathy and well-being correlate with centrality in different social networks. Proceedings of the National Academy of Sciences, 114(37), 9843-9847.
Chen, P., Chavez, O., Ong, D. C., & Gunderson, B. (2017). Strategic Resource Use for Learning: A Self-administered Intervention that Guides Effective Resource Use Enhances Academic Performance. Psychological Science, 28(6), 774-785.
supporting data and materials (link on OSF, the Open Science Framework; access available upon request)
[ Quartz article ] [ Stanford News Release ] [ Psychological Science News Release ] [ U.S. News & World Report ] [ Business Insider (German) ]
[ press ] [ press ] [ press ] [ press ] [ press ] [ press ] [ press ] [ press ] [ press ] [ press ] [ press ] [ press ] [ press ] [ press ] [ press ] [ press ]
Ong, D. C.*, Asaba, M.*, & Gweon, H. (2016). Young children and adults integrate past expectations and current outcomes to reason about others' emotions. In Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 135-140.
* equal contribution
Phillips, J.*, Ong, D. C.*, Surtees, A. D. R., Xin, Y., Williams, S., Saxe, R., & Frank, M. C. (2015). A second look at automatic false belief representation: reconsidering Kovács, Téglás, and Endress (2010). Psychological Science, 26 (9), 1353-1367.
* equal contribution
Devlin, H. C., Zaki., J., Ong, D. C., & Gruber, J. (2014). Not as Good as You Think? Trait Positive Emotion is Associated with Increased Self-Reported Empathy but Decreased Empathic Performance. PLOS ONE, 9(10), e110470.
[ pdf ] [ supporting data and materials ] [ journal website ]
[ Forbes ] [ HuffPost ] [ press ] [ press ] [ press ] [ press ]
[ Nov 2014, Made it to #13 on the front page of Reddit, and #1 on r/Science, with over 6,600 upvotes and 800 comments ]
[ Mar 2017, Made it to #1 on the front page of Reddit, with over 26,600 upvotes and 1.3k comments ]
Ong, D. C. (2017). Computational Affective Cognition: Modeling Reasoning about Emotions. Doctoral Dissertation, Stanford University.
Ong, D. C. (2011). Serial Reciprocity: What makes us want to 'pass it on'?. Honors Thesis, Cornell University.
* awarded summa cum laude for best thesis.
Ong, D. C. (2015). Continuous emotion inference from speech signals. CS 221: Artificial Intelligence, Stanford University, Autumn 2015.
Ong, D. C., Soh, S., & Long, M. (2015). Extracting Aspect-level Sentiment from Product Reviews. CS 224D: Deep Learning for NLP, Stanford University, Spring 2015.
Ong, D. C., Chio, C., & Kek, J. (2014). Predicting mood transitions from text interactions on the Experience Project. CS 224U: Natural Language Understanding, Stanford University, Spring 2014.
Ong, D. C. & Shen, M. (2013). Analyzing Social Support on the Experience Project. CS 224W: Social and Information Networks, Stanford University, Fall 2013.
Ong, D. C. & Lui., W. H. (2013). Building an Emotional Relation Extraction Tool. CS 224N: Natural Language Processing, Stanford University, Fall 2013.
Lui., W. H., & Ong, D. C. (2013). Sentiment Causation Extraction. (Lui's) CS 229: Machine Learning, Stanford University, Fall 2013.
Wu., J. Y., & Ong, D. C. (2012). Predicting Sentiment from Rotten Tomatoes Movie Reviews. CS 229: Machine Learning, Stanford University, Fall 2012.