Publications

Gueorguieva, E., Zhan, H., Suh, J., Hernandez, J., Lau, T., Li, J. J. & Ong, D. C. (2026 preprint). LLMpathy Unpacked: Large Language Models generate well-liked but templatic empathic responses. [ preprint ]

Wang, M., Zhang, E., Tan, C., Mock, A., Ngo, S., Wang, Z., Wolfe, R., Amouei, S., Hanebutt, R. A., Ong, D. C., Figueroa, C., Davis, K., Dey, A. K., & Hiniker A. (2026 preprint). Right Words, Wrong Moment: A Clinician-Grounded Analysis of Distress in 19,930 Conversations between Young People and ChatGPT. [ preprint ]

Moore, J., Mock, A., Mai, Y. Anthis, J. R., Louie, R., Agnew, W., Mehta, A., Klyman, K., Liang, P., Haber, N., Lin, E., & Ong, D. C. (2026). DelusionEval: Measuring Delusion-Linked Behaviors in AI Chatbots. [ arXiv ]

Ibrahim, L., Cheng, M., Lee, C., Khadpe, P., Ong, D. C., Jurafsky, D., & Yang, D. (2026 preprint). Warning labels shift perceptions of sycophantic AI, but not its influence. [ preprint ]

CIVIC-AI Collaboration: Wu, J., Ziems, C., Chan, R., Chen, N. F., Chua, C., Chung, G., Hahn, J., Lee, W. S., Liu, Z., Ng, J., Ong, D. C., Ong, J., Soon, D. R., Song, T., Zhi-Xuan, T., Tao, S., Yang, E., Yang, Y., Yin, S. X., Kan, M.-Y., Yang, D. (2026 preprint). When Does AI Augment Work? A Workflow-Level Framework for Human-Agent Collaboration [ preprint ]

Gandhi, K., Lynch, Z., Fränken, J.-P., Patterson, K., Wambu, S., Gerstenberg, T., Ong, D. C., & Goodman, N. D. (2024 preprint). Human-like Affective Cognition in Foundation Models [ arXiv ]

Hadjiandreou, E., & Ong, D. C. (2026 preprint). Advertisements in conversations with AI hurt perceptions of AI support [ preprint ]

Hadjiandreou, E., Cameron, C. D., Lau, T., & Ong, D. C. (2025 preprint). The stigma of counternormative prosociality. [ preprint ]

Hadjiandreou, E., Lau, T., & Ong, D. C. (2025 preprint). What LLMpathy can tell us about received empathy. [ preprint ]

Iyer, L., Aggarwal, K., Koyejo, S., Heyman, G., Ong, D. C., & Mukherjee, S. (2026 preprint). HEART: A Unified Benchmark for Assessing Humans and LLMs in Emotional Support Dialogue. [ preprint ] [ Forbes press ] [ TechXplore press ]

Knox, W. B., Bradford, K., Castro, S. V., Ong, D. C., Williams, S., Romanow, J., Nations, C., Stone, P., & Baker, S. (2025 preprint). Harmful Traits of AI Companions. [ preprint ] [ press ]

Ong, D. C., Jospe, K., Reddan, M., Wu, Z., Kahhale, I., Chen, P., Perry, A., & Zaki, J. (2023 preprint). People optimally and flexibly process emotional information across multiple modalities [ preprint ] [ data ]

Suresh, V., Yeo, G., & Ong, D. C. (2023 preprint). Critically examining the Domain Generalizability of Facial Expression Recognition models [ preprint ]

Teo, D., & Ong, D. C. (2023 preprint). Instrumental Causal Learning [ preprint ] [ data ]

Ong, D. C., Moore, J., Martinez-Martin, N., Meinhardt, C., Lin, E., & Agnew, W. (2025). Response to FDA's Request for Public Comment on Measuring and Evaluating AI-enabled Medical Device Performance in the Real World.

[ link ] [ covered in Forbes ]

Ong, D. C., Goldenberg, A., Inzlicht, M., & Perry, A. (2026). AI-Generated Empathy: Opportunities, limits, and future directions. Current Directions in Psychological Science.

[ Journal Website ] [ preprint ] [ supporting meta-analysis ]
[ APS Observer Feature ] [ APS Observer Teaching Column ] [ Harvard Business School article ]

Ong, D. C. (2026). Friendlier LLMs tell users what they want to hear — even when it is wrong. Nature 652, 1134-1135.

[ link ] [ journal website ] [ Target article link ]

Moore, J., Mehta, A., Agnew, W., Anthis, J. R., Louie, R., Mai, Y., Yin, P., Cheng, M., Paech, S., Klyman, K., Chancellor, S., Lin, E., Haber, N., & Ong, D. C. (2026). Characterizing Delusional Spirals through Human-LLM Chat Logs. In 2026 ACM Conference on Fairness, Accountability, and Transparency (FAccT), 7631–7674.

[ Link to Proceedings ] [ arXiv ]
[ press (Financial Times) ] [ Forbes ] [ Stanford Report , HAI ]

Munin, S., Jurkiewicz, O., Gueorguieva, E., Oveis, C., & Ong, D. C. (2026). What Can I say to Help You? Language Associated with Successful Extrinsic Emotion Regulation. Emotion 26 (4), 849–859.

[ journal website ] [ press ]

Yang, Y., Schoenwald, S. K., Moore, J., Ong, D. C., Liu, X., & Hancock, J. T. (2026). AI-Induced Delusional Spirals: Understanding Lived Experiences During Maladaptive Human-Chatbot Interactions. In Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems.

[ preprint ]

Mehta A., Moore, J., Anthis, J. R., Agnew, W., Lin, E., Yin, P., Ong, D. C., Haber, N., & Dweck, C. (2026). The Dynamics of Delusion: Modeling Bidirectional False Belief Amplification in Human-Chatbot Dialogue. In Proceedings of the 48th Annual Meeting of the Cognitive Science Society.

[ preprint ]

Cheng, M., Sieh, I., Zope, H., Yu, S., Ibrahim, L., Arora, A., Moore, J., Ong, D. C., Jurafsky, D., & Yang, D. (2026). Verbalizing LLMs' assumptions to explain and control sycophancy. In Proceedings of the 3rd Conference on Language Modeling (COLM).

[ preprint ]

Feuerriegel, S., Barrie, C., Crockett, M. J., ... Ong, D. C., ... & Ribeiro, M. H. (2026). A reporting checklist for Large Language Models in Behavioural Science. Nature Human Behaviour.

[ journal website ] [ GUIDE-LLM Website ]

Preece, D. A., Mehta A., Wurgaft, D., Levy, C., Spink, K. M., Teo, Q. K., Jiang, Y., Ong, D. C., Chen, P., Bratman, G. H., & Gross, J. J. (in press). Alexithymia and Ill- and Well-being: The Role of Emotion Regulation. Emotion.

[ Journal website ]

Suh, J., Le, L., Shavegani, E., Ramos, G., Amores, J., Ong, D. C., Czerwinski, M. & Hernandez, J. (2026). SENSE-7: Taxonomy and Dataset for Measuring User Perceptions of Empathy in Sustained Human-AI Conversations. IEEE Transactions on Affective Computing, 17(2), 2227 - 2244.

[ Journal website ] [ preprint ]

Girard, J. M., Jun, D., Ong, D. C., Liebenthal, E., & Baker, J. T. (2026). Sentiment Analysis of Naturalistic Speech using Open-Weight Large Language Models. Affective Science.

[ journal website ]

Nowicki, F., Marciniak, H., Łączkowski, J., Wilczek, B., Jassem, K., Górecki, T., Balakrishnan, V., Ong, D. & Behnke, M. (2026). Visual Affect Analysis: Predicting Emotions of Image Viewers with Vision-Language Models. In 2026 14th International Conference on Affective Computing and Intelligent Interaction (ACII).

Doan, T. H., Ong, D. C., & Wu, Y. (2025). Emotion understanding as third-person appraisals. Psychological Review, 132(1), 130–153.
[Editor's Choice Award 🏆 ]
* This was an equally-co-conceptualized idea reflected in the theoretical content (and the CRediT statement), even if not with official equal contribution notes.

[ journal website ] [ preprint ]

Moore, J., Grabb, D., Agnew, W., Klyman, K., Chancellor, S., Ong, D. C.*, & Haber, N.* (2025). Expressing stigma and inappropriate responses prevent LLMs from safely replacing mental health providers. In 2025 ACM Conference on Fairness, Accountability, and Transparency (FAccT).
* Equal Contribution

[ Link to Proceedings ] [ arXiv ] [ github ]
[ NYT press ] [ Stanford HAI press -- which also became the top read HAI story of 2025 ] [ press ] [ press ]
[ cited in APA Advisory ] [ cited in congressional testimony ]

Hecht, C. A.*, Ong, D. C.*, Clapper, M., Jones, M., Demszky, D., Yang, D., Eichstaedt, J., Bryan, C. J., & Yeager, D. S. (2025). Using Large Language Models in Behavioral Science Interventions: Promise and Risk. Behavioral Science & Policy, 11(1), 1-9
* Equal Contribution

[ journal website [Open Access] ]

Chen, P., Teo, Q. K., Foo, D. X. Y., Jiang, Y., Sun, L., Ong, X. L., Neo, D., Pereira, D. J. H., Tan, B., Chua, K. Q., Gan, J. X. F., & Ong, D. C. (2025). A Strategic Mindset Predicts and Promotes Effective Learning and Academic Performance. npj Science of Learning, 10 (74).

[ journal website [Open Access] ]

Choudhury, M.*, Elyoseph, Z.*, Fast, N. J.*, Ong, D. C.*, Nsoesie, E. O.* & Pavlick, E.* (2025). The Promise and Pitfalls of Generative AI for Psychology and Society. Nature Reviews Psychology. 4, 75-80.
*All authors contributed equally and listed in alphabetical order
**Invited Submission, Viewpoint article

[ journal website ]

Munin, S., Ong, D. C., Okland, S., Freedman, G., & Beer, J. S. (2025). Language Measures Correlate With Other Measures Used to Study Emotion. Communications Psychology, 3, 29.

[ journal website ]

Reddan, M., Ong, D. C. , Wager, T. D., Mattek, S., Kahhale, I., & Zaki, J. (2025). Neural signatures of emotional intent and inference align during social consensus. Nature Communications, 16, 6156.

[ journal website ] [ preprint ]

Rubin, M., Li, J., Zimmerman, F., Ong, D. C., Goldenberg, A., & Perry, A. (2025). Comparing the Value of Perceived Human versus AI-Generated Empathy. Nature Human Behaviour, 9, 2345–2359.

[ journal website ] [ preprint ]

Jiang, K., Smith-Flores, A., Liang, K., Ong, D. C., & Powell, L. J. (2025). Vicarious emotion predictions integrate information about relationship strength. In Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 372-378.

[ link to proceedings ] [ preprint ]

Zhou, Y., Xu, H., Ong, D. C., Slovak, P., & He, Y. (2025). Modeling Subjectivity in Cognitive Appraisal with Language Models. In Findings of the Association for Computational Linguistics: EMNLP 2025, 13811–13833.

[ arXiv ]

Yeo, G. C., & Ong, D. C. (2024). Associations between cognitive appraisals and emotions: A meta-analytic review. Psychological Bulletin, 150(12), 1440–1471.

[ journal website , supplemental material ] [ preprint with supplemental ] [ SPSP blogpost ]
[ GitHub repository (data and code) , OSF mirror] [ R Shiny applet (note: on free tier, may be limited)]

Zhan, H., Zheng, A., Lee, Y. K., Suh, J., Li, J. J., & Ong, D. C. (2024). Large Language Models are Capable of Offering Cognitive Reappraisal, if Guided. In Proceedings of the 1st Conference on Language Modeling (COLM).

[ arXiv ] [ OpenReview page ] [ repository ]

Lee, Y. K., Suh, J., Zhan, H., Li, J. J., & Ong, D. C. (2024). Large Language Models produce responses perceived to be empathic. In Proceedings of the 12th IEEE International Conference on Affective Computing and Intelligent Interaction (ACII).

[ arXiv ] [ repository ]

Ong, D. C. (2024). GPT-ology, Computational Models, Silicon Sampling: How should we think about LLMs in Cognitive Science? In Proceedings of the 46th Annual Meeting of the Cognitive Science Society, 3968-3975.

[ link to proceedings ] [ arXiv ]

Ong, D. C., Zhi-Xuan, T., Tenenbaum, J. B., & Goodman, N. D. (2024). Probabilistic Programming versus Meta-Learning as Models of Cognition. Behavioral and Brain Sciences, 47, e158. (Commentary)

[ journal website , along with target article by Binz et al.]

Goel, S., Jara-Ettinger, J., Ong, D. C., & Gendron, M. (2024). Face and context integration in emotion inferences is limited and variable across categories and individuals. Nature Communications, 15, 2443.

[ journal website (Open Access) ]

Gueorguieva, E. S., Lau, T., Hadjiandreou, E., & Ong, D. C. (2024). The Language of an Empathy-Inducing Narrative. In Proceedings of the 46th Annual Meeting of the Cognitive Science Society, 2132-2139.

[ link to proceedings ]

Kade, S. A., du Toit, S. A., Danielson, C. T., Schweizer, S., Morrison, A. S., Ong, D. C., Prasad, A., Holder, L. J., Han, J., Torok, M., & Wong, Q. J. J. (2024). Aberrant cognitive empathy in individuals with elevated social anxiety and regulation with emotional working memory training. Cognition and Emotion, 38, 4, 605--623.

[ journal website (Open Access) ]

Kahhale, I., Barry, R. K., Ong, D. C., Zaki, J., & Hanson, J. L., (2024). Exploring the Role of Empathy in the Association Between Early Life Adversity and Antisocial Behavior. Affective Science, 6, 128--144

[ journal website ]

Suh, J., Pendse, S. R., Lewis, R., Howe, E., Saha, K., Okoli, E., Amores, J., Ramos, G., Shen, J., Borghouts, J., Sharma, A., Pedrelli, P., Friedman, L., Jackman, C., Benhalim, Y., Ong, D. C., Segal, S., Althoff, T., & Czerwinski, M. (2024). Rethinking Technology Innovation for Mental Health: Framework for Multi-Sectoral Collaboration. Nature Mental Health, 2, 478--488.

[ journal website (Author Sharing Link) ]

Demszky*, D., Yang*, D., Yeager*, D. S., Bryan, C. J., Clapper, M., Chandhok, S., Eichstaedt, J. C., Hecht, C., Jamieson, J., Johnson, M., Jones, M., Krettek-Cobb, D., Lai, L., JonesMitchell, N., Ong, D. C., Dweck^, C. S., Gross^, J. J., & Pennebaker^, J. W. (2023). Using Large Language Models in Psychology. Nature Reviews Psychology, 2, 688–701. DOI: https://doi.org/10.1038/s44159-023-00241-5
* equal contribution, ^ equal contribution

[ journal website ] [ press release ]

Zhan, H., Ong, D. C., & Li, J.J. (2023). Evaluating Subjective Cognitive Appraisals of Emotions from Large Language Models. In Findings of the Association for Computational Linguistics: EMNLP 2023.

[ arXiv ] [ repository ]

Genzer, S.*, Ong, D. C.*, Zaki, J., & Perry, A. (2022). Mu rhythm suppression over sensorimotor regions is associated with greater empathic accuracy. Social Cognitive and Affective Neuroscience, 17(9), 788–801.
* equal contribution

[ journal website (open access) ] [ pre-print ]

Chen, P., Teo, D. W. H., Foo, D. X. Y., Derry, H. A., Hayward, B. T., Schulz, K. W., Hayward, C., McKay, T. A., & Ong, D. C. (2022). Real-World Effectiveness of a Social-Psychological Intervention Translated from Controlled Trials to Classrooms. npj Science of Learning, 7 (20).

[ journal website [open access] ] [ OSF ] [ rendered analysis code ]

Suresh, V., & Ong, D. C. (2022). Using Positive Matching Contrastive Loss with Facial Action Units to mitigate bias in Facial Expression Recognition. In Proceedings of the 10th International Conference on Affective Computing and Intelligent Interaction (ACII 2022).

[ arXiv ] [ proceedings website ]

Teo, D. W. H., Ang, Z. Y., & Ong, D. C. (2022). Modeling Causal Inference from Emotional Displays. In Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2200-2206.

[ link to proceedings ]

Goldenberg, A., Schöne, J., Huang, Z., Sweeny, T. D., Ong, D. C., Brady, T. F., Robinson, M. M., Levari, D., Zaki, J., & Gross, J. J. (2022). Amplification in the Evaluation of Multiple Emotional Expressions Over Time. Nature Human Behaviour, 6(10), 1408-1416.

[ preprint ] [ journal website ] [ data and code ]

Houlihan, S. D., Ong, D. C., Cusimano, M., & Saxe, R. (2022). Reasoning about the antecedents of emotions: Bayesian causal inference over an intuitive theory of mind. In Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 854-861.

[ link to proceedings ]

Jospe, K., Genzer, S., Mansano, L., Ong, D. C., Zaki, J., Soroker, N., & Perry, A. (2022). Impaired empathic accuracy following damage to the left hemisphere. Biological Psychology, 172, 108380.

[ journal website ]

Weisz, E., Chen, P., Ong, D. C., Carlson, R. W., Clark, M. D., & Zaki, J. (2022). A Brief Intervention to Motivate Empathy among Middle School Students. Journal of Experimental Psychology: General, 151(12), 3144–3153.

[ journal website ]

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 🏆 ]

[ arXiv ] [ proceedings ] [ talk ]

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.
[Best of IEEE Transactions on Affective Computing 2021 Paper Collection 🏆 ]

[ 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".

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.

[ arXiv ] [ journal website ] [ GitHub (code) ] [ dataset information ]

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 @ ICPSR ] [ GitHub (mirror of ICPSR) ] [ rendered analysis code ]

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, 2363-2369.

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

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 ]

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

[ journal website ]

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 ]

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).

[ arXiv ] [ Github ]

Teo, D. W. H. & 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, 2478-2484.

[ link to proceedings ] [ GitHub ]

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 ]

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), 438-445.

[ arXiv ] [ link to proceedings ] [ GitHub ]

Weisz, E., Ong, D. C., Carlson, R. W., & Zaki, J. (2021). Building Empathy through Motivation-Based Intervention. Emotion, 21(5), 990–999

[ journal website ] [ data ]

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 ]

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.

[ journal website ]

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 ]

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 ]

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.

[ journal website ]

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

[ PsyArXiv ] [ repository ] [ journal website ]

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.

[ arXiv ] [ GitHub ]

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 ]

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 ]

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.

[ link to proceedings ]

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

[ journal website ] [ supporting data and materials ]

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.

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

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.

[ journal website ] [ supporting data and materials ]

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.

[ journal website ][ 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 ]

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.X

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

[ link to proceedings ] [ supporting data and materials ]

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.

[ link to proceedings ] [ supporting data and materials ]

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 inference. Cognitive Therapy and Research, 40(1), 72-79.

[ journal website ]

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

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

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

[ journal website ] [ supporting data and materials ]

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.

[ link to proceedings ] [ supporting data and materials ]

Phillips, J.*, Ong, D. C.*, Surtees, A. D. R., Xin, Y., Williams, S., Saxe, R., & Frank, M. C. (2015). A second look at automatic Theory of Mind: reconsidering Kovács, Téglás, and Endress (2010). Psychological Science, 26 (9), 1353-1367.
* equal contribution

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

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.

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

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

[ journal website ] [ press ]

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