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Publications Currently showing all publications

Manuscripts and Under Review

  • Genzer, S.*, Ong, D. C.*, Zaki, J., & Perry, A. (under review). Mu rhythm suppression over sensorimotor regions is associated with greater empathic accuracy.
    * equal contribution

  • Goldenberg, A., Schone, J., Huang, Z., Sweeny, T. D., Ong, D. C., Brady, T. F., Robinson, M. M., Levari, D., Zaki, J., & Gross, J. J. (under review). Amplification in the Evaluation of Emotional Expressions Over Time.

    https://psyarxiv.com/rfgy3/

Accepted and published articles

    In press / to be presented
  1. Suresh, V., & Ong, D. C. (2021). Not all negatives are equal: Label-Aware Constrastive Loss for fine-grained text classification. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021). [Oral Presentation]

    [ arXiv ] [ GitHub ]

  2. Wu, Z., Kreiss, E., Ong, D. C., & Potts, C. G. (2021). ReaSCAN: Compositional Reasoning in Language Grounding. In Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks (NeurIPS 2021)

    [ arXiv ] [ GitHub ]

  3. Ong, D. C. (2021). An Ethical Framework for Guiding the Development of Affectively-Aware Artificial Intelligence. In Proceedings of the 9th International Conference on Affective Computing and Intelligent Interaction (ACII 2021). [Oral Presentation and Best Paper Award] 🧣 🏆

    [ pdf ] [ arXiv ]

  4. Suresh, V., & Ong, D. C. (2021). Using Knowledge-Embedded Attention to Augment Pre-trained Language Models for Fine-Grained Emotion Recognition. In Proceedings of the 9th International Conference on Affective Computing and Intelligent Interaction (ACII 2021). [Oral Presentation]

    [ pdf ] [ arXiv ] [ Github ]

  5. Weisz, E., Ong, D. C., Carlson, R. W., & Zaki, J. (in press). Building Empathy: A Brief Intervention to Promote Social Connection. Emotion.

    [ pdf ] [ journal website ] [ data ]

  6. 2021
  7. Ong, D. C., Asaba, M., Lim, H. Y., Chen, P., & Gweon, H. (2021). "If only Santa had one more present": Exploring the development of near-miss counterfactual reasoning. In Proceedings of the 43rd Annual Meeting of the Cognitive Science Society.

    [ pdf ] [ link to proceedings ] [ OSF: pre-registration, code, data ]

  8. Ong, D. C., Soh, H., Zaki, J., & Goodman, N. D. (2021). Applying Probabilistic Programming to Affective Computing. IEEE Transactions on Affective Computing, 12(2), 306-317.

    [ pre-print ] [ arXiv ] [ journal website ]
    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".

  9. Ong, D. C., Wu, Z., Zhi-Xuan, T., Reddan, M., Kahhale, I., Mattek, A., & Zaki, J. (2021). Modeling emotion in complex stories: the Stanford Emotional Narratives Dataset. IEEE Transactions on Affective Computing, 12(3), 579-594.

    [ pre-print ] [ arXiv ] [ journal website ] [ GitHub (code) ] [ dataset information ]

  10. Chen, P.*, Ong, D. C.*, Ng, J., & Coppola, B. P. (2021). Explore, Exploit, and Prune in the Classroom: Strategic Resource Management Behaviors Predict Performance. AERA Open, 7(1), 1–14.
    * equal contribution

    [ pdf ] [ journal website ] [ code ]

  11. Lai, Y., Kankanhalli, A., & Ong, D. C. (2021). Human-AI Collaboration in Healthcare: A Review and Research Agenda. In Proceedings of the Hawaii International Conference on System Sciences 2021.

    [ link to proceedings ]

  12. Nguyen, T.-S., Wu, Z., & Ong, D. C. (2021). Attention Uncovers Task-Relevant Semantics in Emotional Narrative Understanding. Knowledge-Based Systems, 226, 107162.

    [ pdf ] [ journal website ]

  13. Teo, D. & Ong, D. C. (2021). Learning from Agentic Actions: Modelling Causal Inference from Intention. In Proceedings of the 43rd Annual Meeting of the Cognitive Science Society.

    [ pdf ] [ link to proceedings ] [ GitHub ]

  14. Wu, Z., & Ong, D. C. (2021). Pragmatically Informative Color Generation by Grounding Contextual Modifiers. In Proceedings of the Society for Computation in Linguistics: 4(54).

    [ arXiv ] [ link to proceedings ] [ GitHub ]

  15. Wu, Z., & Ong, D. C. (2021). Context-Guided BERT for Targeted Aspect-Based Sentiment Analysis. In Proceedings of the AAAI Conference on Artificial Intelligence, 35(16), 14094-14102.

    [ arXiv ] [ link to proceedings ] [ GitHub ]

  16. 2020
  17. Jospe, K., Genzer, S., Klein-Selle, N., Ong, D. C., Zaki, J. & Perry, A. (2020). The contribution of linguistic and visual cues to physiological synchrony and empathic accuracy. Cortex, 132, 296-308.

    [ pdf ] [ journal website ]

  18. Wu, Z., Nguyen, T.-S., & Ong, D. C. (2020). Structured Self-Attention Weights Encodes Semantics in Sentiment Analysis. In Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 255-264.

    [ pdf ] [ ACL Anthology website ] [ GitHub ]

  19. Zhi-Xuan, T., Soh, H., & Ong, D. C. (2020). Factorized Inference in Deep Markov Models for Incomplete Multimodal Time Series. In Proceedings of the AAAI Conference on Artificial Intelligence, 34(06), 10334-10341.

    [ arXiv ] [ link to proceedings ] [ GitHub ]
    [ Oral presentation by Zhi-Xuan, T.: talk slides ] [ poster pdf ] [ Oral acceptance rate: 5.9% (454/7737), overall acceptance rate: 20.56% ]

  20. 2019
  21. Ong, D. C., Zaki, J., & Goodman, N. D. (2019). Computational models of emotion inference in Theory of Mind: A review and roadmap. Topics in Cognitive Science. 11(2), 338-357.

    [ pdf ] [ journal website ]

  22. Asaba, M.*, Ong, D. C.*, & Gweon, H. (2019). Integrating expectations and outcomes: Preschoolers' developing ability to reason about others' emotions. Developmental Psychology, 55(8), 1680-1693.
    * equal contribution

    [ pdf ] [ PsyArXiv ] [ repository ] [ journal website ]

  23. Tan, Z.-X. & Ong, D. C. (2019). Bayesian Inference of Social Norms as Shared Constraints on Behavior. In Proceedings of the 41st Annual Meeting of the Cognitive Science Society, 2919-2925.

    [ pdf ] [ arXiv ] [ GitHub ]

  24. 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 ]

  25. Wu, Z., Zhang, X., Zhi-Xuan, T., Zaki, J. & Ong, D. C. (2019). Attending to Emotional Narratives. In Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction (ACII 2019).

    [ arXiv ] [ GitHub ]
    [ Oral presentation by Ong, D. C.: talk slides ]

  26. 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.

    [ pdf ] [ link to proceedings ] [ Oral presentation by Xie, Y. ]

  27. 2018
  28. Ong, D. C., Goodman, N. D., & Zaki, J. (2018). Happier than thou? A self-enhancement bias in emotion attribution. Emotion, 18(1), 116-126.

    [ pdf ] [ supporting data and materials ] [ journal website ]

  29. 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.

    [ pdf ] [ supplemental materials ] [ supporting data and materials ] [ journal website ]

  30. 2017 and earlier
  31. Ong, D. C., Zaki., J., & Gruber, J. (2017). Increased cooperative behavior across remitted bipolar I disorder and major depression: Insights utilizing a behavioral economic trust game. Journal of Abnormal Psychology, 126(1), 1-7.

    [ pdf ] [ supporting data and materials ] [ journal website ]

  32. 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.

    [ pre-journal-formatted version ] [ supporting data and materials (link on OSF, the Open Science Framework; access available upon request) ] [ journal website ]
    [ 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 ]

  33. 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.

    [ pdf ] [ supplemental materials ] [ supporting data and materials ] [ journal website ]
    [ Washington Post ] [ Quartz ] [ Stanford News Release ] [ press ]

  34. 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

    [ pdf ] [ supporting data and materials ]

  35. Ong, D. C., Zaki, J. & Goodman, N. D. (2016). Emotions in lay explanations of behavior. In Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 360-365.

    [ pdf ] [ supporting data and materials ]

  36. Devlin, H. C., Zaki., J., Ong, D. C., & Gruber, J. (2016). Tracking the emotional highs, but missing the lows: Hypomania Risk is associated with positively biased empathic accuracy inference. Cognitive Therapy and Research, 40(1), 72-79.

    [ summary ]
    [ pdf ] [ journal website ]

  37. Nook, E., Ong, D. C., Morelli, S. A., Mitchell, J. P., & Zaki, J. (2016). Prosocial Conformity: Social norms motivate broad generosity and empathy. Personality and Social Psychology Bulletin, 42(8), 1045-1062. doi: 10.1177/0146167298248001

    [ pdf ] [ supplemental materials ] [ supporting data and materials ] [ journal website ]
    [ Scientific American article ] [ press (aps link) ]

  38. Ong, D. C., Zaki, J., & Goodman, N. D. (2015). Affective Cognition: Exploring lay theories of emotion. Cognition, 143, 141-162.

    [ summary ]
    [ pdf ] [ supporting data and materials ] [ journal website ]

  39. Ong, D. C., Goodman, N. D., & Zaki, J. (2015). Near-misses sting even when they are uncontrollable. In Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 1775-1780.

    [ pdf ] [ supporting data and materials ]

  40. 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

    [ pdf ] [ supporting data and materials ] [ journal website ]
    [ Blogpost by senior author Mike Frank , followup blogpost ]

  41. 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.

    [ summary ]
    [ 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 ]


  42. Pre-2014; Previous work in physics and optics

  43. Leahy, B. D., Cheng, X., Ong, D. C., Liddell-Watson, C., & Cohen, I. (2013) Enhancing rotational diffusion using oscillatory shear. Physical Review Letters, 110, 228301

    [ summary ]
    [ pdf ] [ journal website ] [ press ]

  44. Ong, D. C., Solanki, S., Liang, X., & Xu, X. (2012). Analysis of laser speckle severity, granularity, and anisotropy using the power spectral density in polar-coordinate representation. Optical Engineering, 51, 054301

    [ summary ]
    [ pdf ] [ journal website ]

  45. Gerbode, S. J., Ong, D. C., Liddell, C. M., & Cohen, I. (2010). Dislocations and vacancies in two-dimensional mixed crystals of spheres and dimers. Physical Review E, 82, 041404

    [ summary ]
    [ pdf ] [ journal website ]

  46. Gerbode, S. J., Agarwal, U., Ong, D. C., Liddell, C. M., Escobedo, F., & Cohen, I. (2010). Glassy Dislocation Dynamics in 2-D Colloidal Dimer Crystals. Physical Review Letters, 105, 078301

    [ summary ]
    [ pdf ] [ journal website ]



Theses & Dissertations

  • 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.

(Unpublished) Class Projects

  • 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.