Publications

[1] Chang, M. L., Trafton, G., McCurry, J. M., & Thomaz, A. L. (2021). Unfair! Perceptions of Fairness in Human-Robot Teams. In 2021 30th IEEE International Conference on Robot & Human Interactive Communication (RO-MAN) (pp. 905-912). IEEE.

[2] Chang, M. L., & Thomaz, A. (2021). Valuable Robotic Teammates: Algorithms That Reason About the Multiple Dimensions of Human-Robot Teamwork. In Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction (pp. 580-582).

[3] Chang, M. L., Faulkner, T. K., Wei, T. B., Short, E. S., Anandaraman, G., & Thomaz, A. L. (2020). TASC: Teammate Algorithm for Shared Cooperation. In 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 11229-11236). IEEE.

[4] Chang, M. L., Pope, Z., Short, E. S., & Thomaz, A. L. (2020). Defining fairness in human-robot teams. In 2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) (pp. 1251-1258). IEEE.

[5] Khante, P., Chang, M. L., Martinez, D., de Barbaro, K., & Thomaz, E. (2019). Quantifying the Chaos Level of Infants' Environment via Unsupervised Learning. arXiv preprint arXiv:1912.04844.

[6] Chang, M. L., Gutierrez, R. A., Khante, P., Short, E. S., & Thomaz, A. L. (2018). Effects of integrated intent recognition and communication on human-robot collaboration. In 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 3381-3386). IEEE.

[7] Short, E. S., Chang, M. L., & Thomaz, A. (2018). Detecting contingency for HRI in open-world environments. In 2018 13th ACM/IEEE International Conference on Human-Robot Interaction (HRI) (pp. 425-433). IEEE.

[8] Chang, M. L., Short, E.S., & Thomaz, A. (2018). Inference of Human Policies for Ad Hoc Human-Robot Teams. In 2018 13th ACM/IEEE International Conference on Human-Robot Interaction (HRI) Workshop on Longitudinal Human-Robot Teaming. IEEE.

[9] Chang, M.L. & Marquez, J. J. (2018). Human-Automation Allocations for Current Robotic Space Operations: Space Station Remote Manipulator System. NASA Technical Report, NASA/TM-2018–220042, 2018.

[10] Marquez, J. J., Chang, M. L., Beard, B. L., Kim, Y. K., & Karasinski, J. A. (2018). Human-Automation Allocations for Current Robotic Space Operations. In NASA Human Research Program Investigators' Workshop (No. ARC-E-DAA-TN51828).

[11] Marquez, J. J., Adelstein, B. D., Chang, M. L., Ellis, S. R., Hambuchen, K. A., & Howard, R. L. (2017). Future Exploration Missions' Tasks Associated with the Risk of Inadequate Design of Human and Automation/Robotic Integration. NASA Technical Report, No. NASA/TM-2017-219516.

[12] Marquez, J.J., Adelstein, B.D., Ellis, S., Chang, M.L., Howard, R. (2016). Evaluation of human and automation/robotics integration needs for future human exploration missions. In 2016 IEEE Aerospace Conference (pp. 1-9). IEEE.

[13] Cross, E.V., Chang, M.L., Hambuchen, K., & Aiken, J. (2016). Measuring Human-Robot Collaboration for Future Long Duration Space Missions. In NASA Human Research Program Investigators' Workshop.

[14] Morris, R., Chang, M. L., Archer, R., Cross, E. V., Thompson, S., Franke, J., ... & Hemann, G. (2015). Self-driving aircraft towing vehicles: A preliminary report. In Twenty-Ninth AAAI Conference on Artificial Intelligence Workshop on Artificial Intelligence for Transportation: Advice, Interactivity, and Actor Modeling.

[15] Sandor, A., Cross, E.V., & Chang, M. L. (2015). Human-Robot Interaction. In NASA Human Research Program Investigators' Workshop (JSC-CN-32125).

[16] Sandor, A., Cross, E.V., & Chang, M. L. (2014). Human-Robot Interaction Directed Research Project. In NASA Human Research Program Investigators' Workshop (JSC-CN-30443).