About Me
My research is in the field of HCI with a broad focus on Human-AI Interaction, Explainable AI, and Responsible AI. I specialize in the design and evaluation of AI explanation mechanisms that can help develop or improve AI literacy of end-users who lack computer science backgrounds. This could help such end-users critically reflect on strengths and limitations of AI-based systems, and help them decide when and how to use such computational technology.
My work has been recognized with an NSF CAREER award, and best paper and honorable mention awards at premier HCI conferences.
Before joining the Computer Science & Engineering department at the University of Michigan as a faculty, I received my Ph.D. degree from the Human-Computer Interaction Institute (HCII) at Carnegie Mellon University, and my B.Sc. and M.Sc. degrees from the Department of Computer Science at the University of Toronto.
For more information, see my Curriculum Vitae (CV).
Announcements
Students, I will never email you to offer you research employment if you did not apply for or inquire about a research position with me or the department first. Any such emails are likely Job Offer Scam.
Advising
Current Doctoral Students
Jaewoong Choi
Graduated Doctoral Students
Past Postdoctoral Fellows
Somayeh Molaei
Past Masters Students
- Anmol Mansingh
- Daniel Chechelnitsky
- Xincheng Huang
- Zhuoran "Jim" Yang
- Yujian Liu
- Aditya Ramesh
- Suraj Kiran Raman
Past Undergraduate Students
- Ananya Kasi
- Matthew Conrad
- Trisha Dani
- Tess Eschebach
- Ruiyi Wang
- Rui Nie
- Tavanya Seth
- Zhe Chen
- Caitlin Henning
- Yuan Xu
- Sabrina Tobar Thommel
- Antara Gandhi
- Yucen Sun
- Enhao Zhang
- Nan Liu
- Elise Minto
- Zhipeng Yan
- Kevin Pu
- Alvin Hermans
- Joshua Spalter
- Ponette Rubio
- Keylonnie Miller
- Alice Liu
- Renee Li
- Sam Mikell
Past Graduate Visiting Scholars
Past Undergraduate Visiting Scholars
- Sitara Baxendale
- Bruktawit Amare
- Daniel Ramirez
- Shareni Ortega
- Shruti Srinidhi
Teaching (Active Courses)
CSE 593 - Human-Computer Interaction
Principles (e.g., human-centered systems design, usability, accessibility) and methods (e.g., requirements gathering, functional prototyping, user study evaluation) of technical Human-Computer Interaction (HCI) research. Survey of HCI research threads including Human-AI Interaction, Social Computing, Behavior Modeling, Education Technologies. Group assignments give students exposure to HCI research methods. Prerequisites: Graduate standing; or permission from instructor.
EECS 493 - User Interface Development
Concepts and techniques for designing computer system user interfaces to be easy to learn and use, with an introduction to their implementation. Task analysis, design of functionality, display and interaction design, and usability evaluation. Interface programming using an object-oriented application framework. Fluency in a standard object-oriented programming language is assumed. Prerequisites: EECS 281 or graduate standing in CSE. Minimum grade of “C” required for enforced prerequisite.
Publications
This list is automatically generated from ORCID. For a complete list of publications organized by category, please see my Curriculum Vitae (CV).
1.
Somayeh Molaei, Lionel P. Robert, and Nikola Banovic. 2025. What Do People Want to Know About Artificial Intelligence (AI)? The Importance of Answering End-User Questions to Explain Autonomous Vehicle (AV) Decisions. https://doi.org/10.48550/ARXIV.2505.06428
2.
Snehal Prabhudesai, Ananya Prashant Kasi, Anmol Mansingh, Anindya Das Antar, Hua Shen, and Nikola Banovic. 2025. "Here the GPT made a choice, and every choice can be biased": How Students Critically Engage with LLMs through End-User Auditing Activity. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 1-23. https://doi.org/10.1145/3706598.3713714
3.
Anindya Das Antar, Somayeh Molaei, Yan-Ying Chen, Matthew L Lee, and Nikola Banovic. 2024. VIME: Visual Interactive Model Explorer for Identifying Capabilities and Limitations of Machine Learning Models for Sequential Decision-Making. In Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology, 1-21. https://doi.org/10.1145/3654777.3676323
4.
Nel Escher and Nikola Banovic. 2024. Hexing Twitter: Channeling Ancient Magic to Bind Mechanisms of Extraction. In Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 1-6. https://doi.org/10.1145/3613905.3644071
5.
Shane C. Quinonez, David A. Stewart, and Nikola Banovic. 2024. ChatGPT and Artificial Intelligence in Graduate Medical Education Program Applications. Journal of Graduate Medical Education 16, 4: 391-394. https://doi.org/10.4300/jgme-d-23-00823.1
6.
Nel Escher, Jeffrey Bilik, Nikola Banovic, and Ben Green. 2024. Code-ifying the Law: How Disciplinary Divides Afflict the Development of Legal Software. Proceedings of the ACM on Human-Computer Interaction 8, CSCW2: 1-37. https://doi.org/10.1145/3686937
7.
Patrick C. Kinnunen, Kenneth K. Y. Ho, Siddhartha Srivastava, Chengyang Huang, Wanggang Shen, Krishna Garikipati, Gary D. Luker, Nikola Banovic, Xun Huan, Jennifer J. Linderman, and Kathryn E. Luker. 2024. Integrating inverse reinforcement learning into data-driven mechanistic computational models: a novel paradigm to decode cancer cell heterogeneity. Frontiers in Systems Biology 4. https://doi.org/10.3389/fsysb.2024.1333760
8.
Sumit Asthana, Jane Im, Zhe Chen, and Nikola Banovic. 2024. "I know even if you don’t tell me": Understanding Users’ Privacy Preferences Regarding AI-based Inferences of Sensitive Information for Personalization. In Proceedings of the CHI Conference on Human Factors in Computing Systems, 1-21. https://doi.org/10.1145/3613904.3642180
9.
Divya Ramesh, Caitlin Henning, Nel Escher, Haiyi Zhu, Min Kyung Lee, and Nikola Banovic. 2023. Ludification as a Lens for Algorithmic Management: A Case Study of Gig-Workers’ Experiences of Ambiguity in Instacart Work. In Proceedings of the 2023 ACM Designing Interactive Systems Conference, 638-651. https://doi.org/10.1145/3563657.3596004
10.
Tahera Hossain, Wanggang Shen, Anindya Antar, Snehal Prabhudesai, Sozo Inoue, Xun Huan, and Nikola Banovic. 2023. A Bayesian Approach for Quantifying Data Scarcity when Modeling Human Behavior via Inverse Reinforcement Learning. ACM Transactions on Computer-Human Interaction 30, 1: 1-27. https://doi.org/10.1145/3551388
11.
Anindya Das Antar, Anna Kratz, and Nikola Banovic. 2023. Behavior Modeling Approach for Forecasting Physical Functioning of People with Multiple Sclerosis. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 7, 1: 1-29. https://doi.org/10.1145/3580887
12.
Nikola Banovic, Zhuoran Yang, Aditya Ramesh, and Alice Liu. 2023. Being Trustworthy is Not Enough: How Untrustworthy Artificial Intelligence (AI) Can Deceive the End-Users and Gain Their Trust. Proceedings of the ACM on Human-Computer Interaction 7, CSCW1: 1-17. https://doi.org/10.1145/3579460
13.
Jane Im, Ruiyi Wang, Weikun Lyu, Nick Cook, Hana Habib, Lorrie Faith Cranor, Nikola Banovic, and Florian Schaub. 2023. Less is Not More: Improving Findability and Actionability of Privacy Controls for Online Behavioral Advertising. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 1-33. https://doi.org/10.1145/3544548.3580773
14.
Snehal Prabhudesai, Jeremiah Hauth, Dingkun Guo, Arvind Rao, Nikola Banovic, and Xun Huan. 2023. Lowering the computational barrier: Partially Bayesian neural networks for transparency in medical imaging AI. Frontiers in Computer Science 5. https://doi.org/10.3389/fcomp.2023.1071174
15.
Sarah Jabbour, David Fouhey, Stephanie Shepard, Thomas S. Valley, Ella A. Kazerooni, Nikola Banovic, Jenna Wiens, and Michael W. Sjoding. 2023. Measuring the Impact of AI in the Diagnosis of Hospitalized Patients. JAMA 330, 23: 2275. https://doi.org/10.1001/jama.2023.22295
16.
Xincheng Huang, Keylonnie L. Miller, Alanson P. Sample, and Nikola Banovic. 2022. StructureSense. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 6, 4: 1-25. https://doi.org/10.1145/3570343
17.
Snehal Prabhudesai, Leyao Yang, Sumit Asthana, Xun Huan, Q. Vera Liao, and Nikola Banovic. 2023. Understanding Uncertainty: How Lay Decision-makers Perceive and Interpret Uncertainty in Human-AI Decision Making. In Proceedings of the 28th International Conference on Intelligent User Interfaces, 379-396. https://doi.org/10.1145/3581641.3584033
18.
Sumit Asthana, Sabrina Tobar Thommel, Aaron Lee Halfaker, and Nikola Banovic. 2021. Automatically Labeling Low Quality Content on Wikipedia By Leveraging Patterns in Editing Behaviors. Proceedings of the ACM on Human-Computer Interaction 5, CSCW2: 1-23. https://doi.org/10.1145/3479503
19.
Enhao Zhang and Nikola Banovic. 2021. Method for Exploring Generative Adversarial Networks (GANs) via Automatically Generated Image Galleries. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, 1-15. https://doi.org/10.1145/3411764.3445714
20.
Snehal Prabhudesai, Nicholas Chandler Wang, Vinayak Ahluwalia, Xun Huan, Jayapalli Rajiv Bapuraj, Nikola Banovic, and Arvind Rao. 2021. Stratification by Tumor Grade Groups in a Holistic Evaluation of Machine Learning for Brain Tumor Segmentation. Frontiers in Neuroscience 15. https://doi.org/10.3389/fnins.2021.740353
21.
Kashyap Todi, Jean Vanderdonckt, Xiaojuan Ma, Jeffrey Nichols, and Nikola Banovic. 2020. AI4AUI. In Companion Proceedings of the 25th International Conference on Intelligent User Interfaces, 17-18. https://doi.org/10.1145/3379336.3379359
22.
Chung Hoon Hong, Yuan Liang, Sagnik Sinha Roy, Arushi Jain, Vihang Agarwal, Ryan Draves, Zhizhuo Zhou, William Chen, Yujian Liu, Martha Miracky, Lily Ge, Nikola Banovic, and David Jurgens. 2020. Audrey: A Personalized Open-Domain Conversational Bot. https://doi.org/10.48550/ARXIV.2011.05910
23.
Nel Escher and Nikola Banovic. 2020. Exposing Error in Poverty Management Technology: A Method for Auditing Government Benefits Screening Tools. Proceedings of the ACM on Human-Computer Interaction 4, CSCW1: 1-20. https://doi.org/10.1145/3392874
24.
Per Ola Kristensson, Nikola Banovic, Antti Oulasvirta, and John Williamson. 2019. Computational Interaction with Bayesian Methods. In Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, 1-6. https://doi.org/10.1145/3290607.3298820
25.
Nikola Banovic, Antti Oulasvirta, and Per Ola Kristensson. 2019. Computational Modeling in Human-Computer Interaction. In Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, 1-7. https://doi.org/10.1145/3290607.3299032
26.
Nikola Banovic, Ticha Sethapakdi, Yasasvi Hari, Anind K. Dey, and Jennifer Mankoff. 2019. The Limits of Expert Text Entry Speed on Mobile Keyboards with Autocorrect. In Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services, 1-12. https://doi.org/10.1145/3338286.3340126
27.
John Joon Young Chung, Fuhu Xiao, Nikola Banovic, and Walter S. Lasecki. 2019. Towards Instantaneous Recovery from Autonomous System Failures via Predictive Crowdsourcing. In The Adjunct Publication of the 32nd Annual ACM Symposium on User Interface Software and Technology, 16-18. https://doi.org/10.1145/3332167.3357100
28.
Nikola Banovic, Jennifer Mankoff, and Anind K. Dey. 2018. Computational Model of Human Routine Behaviours. Oxford University Press. https://doi.org/10.1093/oso/9780198799603.003.0015
29.
Rushil Khurana, Nikola Banovic, and Kent Lyons. 2018. In only 3 minutes. In Proceedings of the 2018 ACM International Symposium on Wearable Computers, 208-211. https://doi.org/10.1145/3267242.3267285
30.
Qian Yang, Nikola Banovic, and John Zimmerman. 2018. Mapping Machine Learning Advances from HCI Research to Reveal Starting Places for Design Innovation. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 1-11. https://doi.org/10.1145/3173574.3173704
31.
Nikola Banovic, Anqi Wang, Yanfeng Jin, Christie Chang, Julian Ramos, Anind Dey, and Jennifer Mankoff. 2017. Leveraging Human Routine Models to Detect and Generate Human Behaviors. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 6683-6694. https://doi.org/10.1145/3025453.3025571
32.
Nikola Banovic. 2017. Method for Understanding Complex Human Routine Behaviors from Large Behavior Logs. In Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems, 254-258. https://doi.org/10.1145/3027063.3027135
33.
Nikola Banovic, Varun Rao, Abinaya Saravanan, Anind K. Dey, and Jennifer Mankoff. 2017. Quantifying Aversion to Costly Typing Errors in Expert Mobile Text Entry. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 4229-4241. https://doi.org/10.1145/3025453.3025695
34.
Nikola Banovic, Tofi Buzali, Fanny Chevalier, Jennifer Mankoff, and Anind K. Dey. 2016. Modeling and Understanding Human Routine Behavior. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 248-260. https://doi.org/10.1145/2858036.2858557
35.
Karen Church, Denzil Ferreira, Nikola Banovic, and Kent Lyons. 2015. Understanding the Challenges of Mobile Phone Usage Data. In Proceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services, 504-514. https://doi.org/10.1145/2785830.2785891
36.
Christian Koehler, Nikola Banovic, Ian Oakley, Jennifer Mankoff, and Anind K. Dey. 2014. Indoor-ALPS. In Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 171-181. https://doi.org/10.1145/2632048.2632069
37.
Nikola Banovic, Christina Brant, Jennifer Mankoff, and Anind Dey. 2014. ProactiveTasks. In Proceedings of the 16th international conference on Human-computer interaction with mobile devices & services, 243-252. https://doi.org/10.1145/2628363.2628380
38.
Nikola Banovic, Koji Yatani, and Khai N. Truong. 2013. Escape-Keyboard. International Journal of Mobile Human Computer Interaction 5, 3: 42-61. https://doi.org/10.4018/jmhci.2013070103
39.
Nikola Banovic, Tovi Grossman, and George Fitzmaurice. 2013. The effect of time-based cost of error in target-directed pointing tasks. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 1373-1382. https://doi.org/10.1145/2470654.2466181
40.
Nikola Banovic, Rachel L. Franz, Khai N. Truong, Jennifer Mankoff, and Anind K. Dey. 2013. Uncovering information needs for independent spatial learning for users who are visually impaired. In Proceedings of the 15th International ACM SIGACCESS Conference on Computers and Accessibility, 1-8. https://doi.org/10.1145/2513383.2513445
41.
Koji Yatani, Nikola Banovic, and Khai Truong. 2012. SpaceSense. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 415-424. https://doi.org/10.1145/2207676.2207734
42.
Nikola Banovic, Fanny Chevalier, Tovi Grossman, and George Fitzmaurice. 2012. Triggering triggers and burying barriers to customizing software. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 2717-2726. https://doi.org/10.1145/2207676.2208666
43.
Nikola Banovic, Frank Chun Yat Li, David Dearman, Koji Yatani, and Khai N. Truong. 2011. Design of unimanual multi-finger pie menu interaction. In Proceedings of the ACM International Conference on Interactive Tabletops and Surfaces, 120-129. https://doi.org/10.1145/2076354.2076378