Publications

My Google Scholar

Conferences:

[C10] Chang, M. L., Reig, S., Lee, A., Huang, A., Simao, H., Han, N., Khanuja, N., Ali, A., Martinez, R., Zimmerman, J., Forlizzi, J. & Steinfeld, A. (2025). Unremarkable to Remarkable AI Agent: Exploring Boundaries of Agent Intervention for Adults With and Without Cognitive Impairment. To appear in 2025 CM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW). 

[C9] Chang, M. L., Lee, A., Han, N., Huang, A., Simão, H., Reig, S., ... & Steinfeld, A. (2024, July). Dynamic Agent Affiliation: Who Should the AI Agent Work for in the Older Adult's Care Network?. In Proceedings of the 2024 ACM Designing Interactive Systems Conference (pp. 1774-1788).

[C8] Saran, A., Desai, K., Chang, M. L., Lioutikov, R., Thomaz, A., & Niekum, S. (2022, October). Understanding Acoustic Patterns of Human Teachers Demonstrating Manipulation Tasks to Robots. In 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 9172-9179). IEEE.

[C7] Lawson, W., Harrison, A., Chang, M. L., Adams, W., & Trafton, J. G. (2022, August). Salient Keypoints for Interactive Meta-Learning (SKIML). In 2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) (pp. 1554-1561). IEEE.

[C6] 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.

[C5] 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.

[C4] 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.

[C3] 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.

[C2] 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.

[C1] 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.

Workshops, Symposiums, Short Papers:

[W11] Mattsson, I., Nikookar, N., Kim, J., Chang, M.L., Eslami, M., London, A.J. The Ethics of AI Personas: Challenges for Value Aligned Development. In 2024 AAAI Fall Symposium Series AI for Aging in Place.

[W10] Allen, K. H., Aronson, R. M., Bhattacharjee, T., Broz, F., Chang, M. L., Collier, M., ... & Short, E. S. (2024, March). Assistive Applications, Accessibility, and Disability Ethics in HRI. In Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction (pp. 1305-1307).

[W9] Chang, M. L., Reig, S., Lee, A., Simao, H., Khanuja, N., Zimmerman, J., Forlizzi, J. & Steinfeld, A. (2023). “Understanding Boundaries of Agent Intervention for Adults With and Without Mild Cognitive Impairment.” 2023 CHI Conference on Human Factors in Computing Systems Workshop on The Future of Hybrid Care and Wellbeing in HCI.

[W8] Claure, H., Chang, M. L., Kim, S., Omeiza, D., Brandao, M., Lee, M. K., & Jung, M. (2022, March). Fairness and Transparency in Human-Robot Interaction. In 2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI) Workshop (pp. 1244-1246). IEEE.

[W7] Chang, M. L., & Thomaz, A. (2021, March). 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).

[W6] 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.

[W5] 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).

[W4] 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.

[W3] 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.

[W2] Sandor, A., Cross, E.V., & Chang, M. L. (2015). Human-Robot Interaction. In NASA Human Research Program Investigators' Workshop (JSC-CN-32125).

[W1] 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).

Technical Reports:

[T2] 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. 

[T1] 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.

Others:

[O1] 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.

Dissertation:

Chang, M. L. (Aug. 2022). Optimizing for task performance and fairness in human-robot teams. [Doctoral dissertation, The University of Texas at Austin]. http://dx.doi.org/10.26153/tsw/43818