Publications

33. Sumner, E., Gopinath, D. E., Dees, L., Reyes Gomez, P., Cui, X., Silva, A., Costa, J., Morgan, A., Schrum, M., Chen, T. L., Balachandran, A., & Rosman, G. SimCoachCorpus: A naturalistic dataset with language and trajectories for embodied teaching. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) (2026).

32. Banerjee, S., Cornelisse, D., Gopinath, D., Sumner, E., DeCastro, J., Rosman, G., et al. Estimating cognitive biases with attention-aware inverse planning. Advances in Neural Information Processing Systems 38 (NeurIPS 2025).

31. Schrum, M., Morgan, A., Gopinath, D., Costa, J., Sumner, E., Rosman, G., & Chen, T. A data-driven framework for skill representation. LEAP-HRI Workshop at the ACM/IEEE International Conference on Human-Robot Interaction (2025).

30. Gideon, J., Tamura, K., Sumner, E., Dees, L., Reyes Gomez, P., Haq, B., Rowell, T., Balachandran, A., Stent, S., & Rosman, G. A simulator dataset to support the study of impaired driving. IEEE 28th International Conference on Intelligent Transportation Systems (ITSC) (2025).

29. Gopinath, D., Cui, X., DeCastro, J., Sumner, E., Costa, J., Yasuda, H., Morgan, A., Dees, L., Chau, S., Leonard, J., Chen, T., Rosman, G., & Balachandran, A. Computational teaching for driving via multi-task imitation learning. IEEE International Conference on Robotics and Automation (ICRA), 7019-7027 (2025).

28. Hu, X., Dees, L., Gopinath, D., Silva, A., DeCastro, J., Rosman, G., & Sumner, E. Enhancing Trust Repair in Driving: The Role of AI Emotional Expression and Perceived Control. IEEE 28th International Conference on Intelligent Transportation Systems (ITSC) (2025).

27. Costa, J., Morgan, A., Yasuda, H., Sumner, E. S., Gopinath, D., Chau, S., et al. From Dashboards to Dialogue: Evaluating a Conversational AI Coach for Performance Driving Skill Development. Proceedings of the 17th International Conference on Automotive User Interfaces (2025).

26. Oh, D. D., Lidard, J., Hu, H., Sinhmar, H., Lazarski, E., Gopinath, D., Sumner, E. S., et al. Safety with agency: Human-centered safety filter with application to AI-assisted motorsports. arXiv preprint arXiv:2504.11717 (2025).

25. Srivastava, M., Iranmanesh, R., Cui, Y., Gopinath, D., Sumner, E. S., Silva, A., et al. Shared autonomy for proximal teaching. 20th ACM/IEEE International Conference on Human-Robot Interaction (HRI) (2025).

24. DeCastro, J., Silva, A., Gopinath, D., Sumner, E., Balch, T., Dees, L., & Rosman, G. Dreaming to Assist: Learning to Align with Human Objectives for Shared Control in High-Speed Racing. Conference on Robot Learning (CoRL) (2024).

23. Iliev, R., Filipowicz, A., Chen, F., Arechiga, N., Carter, S., Sumner, E., Harinen, T., et al. Harvesting heterogeneity: Selective expertise versus machine learning. Psychological Methods (2024).

22. Schrum, M. L., Sumner, E., Gombolay, M. C., & Best, A. MAVERIC: A Data-Driven Approach to Personalized Autonomous Driving. IEEE Transactions on Robotics 40, 1952-1965 (2024).

21. Sumner, E. S., DeCastro, J., Costa, J., Gopinath, D., Kimani, E., Hakimi, S., et al. Personalizing driver safety interfaces via driver cognitive factors inference. Scientific Reports 14 (1), 18058 (2024).

20. Fink, P. D., Dimitrov, V., Yasuda, H., Chen, T. L., Corey, R. R., Giudice, N. A., & Sumner, E. Autonomous is Not Enough: Designing Multisensory Mid-Air Gestures for Vehicle Interactions Among People with Visual Impairments. Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, pp. 1-13 (2023).

19. Iliev, R., Filipowicz, A., Sumner, E. S., Chen, F., Arechiga, N., Carter, S., et al. Can Behavioral Experts Predict Outcome Heterogeneity?. Proceedings of the Annual Meeting of the Cognitive Science Society, Vol. 45, No. 45 (2023).

18. Chen, F., Hong, M. K., Denoue, L., Glazko, K., Sumner, E. S., Chen, Y. Y., & Klenk, M. CodeML: A Machine Learning-Assisted User Interface for Code Identification and Labeling. Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, pp. 1-7 (2023).

17. Fink, P. D., Abou Allaban, A., Atekha, O. E., Perry, R. J., Sumner, E. S., Corey, R. R., Dimitrov, V., & Giudice, N. A. Expanded Situational Awareness Without Vision: A Novel Haptic Interface for Use in Fully Autonomous Vehicles. ACM/IEEE International Conference on Human-Robot Interaction (HRI) (2023).

16. DeCastro, J., Gopinath, D., Rosman, G., Sumner, E., Hakimi, S., & Stent, S. Learning Latent Traits for Simulated Cooperative Driving Tasks. arXiv preprint arXiv:2207.09619 (2023).

15. Hakimi, S., Chen, Y. Y., Van, M. P., Carter, S., Sumner, E., Bravo, N. S., Murakami, K., et al. Machine learning-based measure of cognitive complexity explains variance in rank-ordered preference. Proceedings of the Annual Meeting of the Cognitive Science Society, Vol. 45, No. 45 (2023).

14. Thomas, A. J., Navarro Hernandez, S., Sumner, E., & Sarnecka, B. Children expect leaders to oust intruders, refrain from unprovoked aggression, but not to be generally prosocial. Collabra: Psychology 8 (1), 33956 (2022).

13. Filipowicz, A. L. S., Wu, C. C., Lee, M. L., Shamma, D. A., Hakimi, S., Carter, S., Iliev, R., et al. Familiarity plays a unique role in increasing preferences for battery electric vehicle adoption. Proceedings of the Annual Meeting of the Cognitive Science Society, Vol. 44, No. 44 (2022).

12. Gopinath, D., DeCastro, J., Rosman, G., Sumner, E., Morgan, A., Hakimi, S., & Stent, S. HMIway-Env: A Framework for Simulating Behaviors and Preferences To Support Human-AI Teaming in Driving. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 4342-4350 (2022).

11. Thomas, A. J., Mitchell, V., Sumner, E., Terrizzi, B., Piff, P. K., & Sarnecka, B. W. Intuitive sociology: Children recognize decision-making structures and prefer groups with less-concentrated power. Open Mind 6, 25-40 (2022).

10. Iliev, R., Harinen, T., Filipowicz, A., Bravo, N., Sumner, E. S., Hakimi, S., Lee, M., et al. Social expected utility: Indifference to others can influence risk preferences. PsyArXiv (2022).

9. Arechiga, N., Chen, F., Iliev, R., Sumner, E., Carter, S., Filipowicz, A., Bravo, N., et al. Understanding and Shifting Preferences for Battery Electric Vehicles. arXiv preprint arXiv:2202.08963 (2022).

8. Harinen, T., Filipowicz, A., Hakimi, S., Iliev, R., Klenk, M., & Sumner, E. Machine learning reveals how personalized climate communication can both succeed and backfire. arXiv preprint arXiv:2109.05104 (2021).

7. Parlett-Pelleriti, C., Linstead, E. J., Sumner, E. S., Nguyen, H. Q., Stokes, R., et al. A Hierarchical Bayesian IRT Analysis of Children's Risk Propensity. 19th IEEE International Conference on Machine Learning and Applications (ICMLA) (2020).

6. Thomas, A., Hernandez, S., Sumner, E., & Sarnecka, B. Children expect leaders to oust intruders, to refrain from aggression, but do not expect leaders to be generally more prosocial. OSF (2020).

5. Sumner, E. S. Decision making and exploration during childhood. PhD Dissertation, University of California, Irvine (2020).

4. Sumner, E., DeAngelis, E., Hyatt, M., Goodman, N., & Kidd, C. Cake or broccoli? Recency biases children's verbal responses. PLoS ONE 14 (6), e0217207 (2019).

3. Sumner, E., Steyvers, M., & Sarnecka, B. W. It's not the treasure, it's the hunt: Children are more explorative on an explore/exploit task than adults are. Proceedings of the 41st Annual Meeting of the Cognitive Science Society (2019).

2. Sumner, E., Li, A., Perfors, A., Hayes, B., Navarro, D., & Sarnecka, B. The Exploration Advantage: Children's instinct to explore allows them to find information that adults miss. OSF (2019).

1. Sumner, E., DeAngelis, E., Hyatt, M., Goodman, N., & Kidd, C. Toddlers Always Get the Last Word: Recency biases in early verbal behavior. Proceedings of the 37th Annual Meeting of the Cognitive Science Society (2015).