What Lies Beneath? Exploring the Impact of Underlying AI Model Updates in AI-Infused Systems
V. Mohanty, J. Lim, and K. Luther
ACM CHI Conference on Human Factors in Computing
Systems (CHI ’25), Yokohama, Japan, 2025
Investigating Interaction Modes and User Agency in Human-LLM Collaboration for Domain-Specific Data Analysis
J. Guo, V. Mohanty, J.H.P. Ono, H. Hao, L. Gou, and L. Ren
ACM CHI Conference on Human Factors in Computing
Systems (CHI ’24), Honolulu, HI, USA, 2024
Poster
Sustaining Scalable Sustainability: Human-Centered Green Technology for Community-wide Carbon Reduction
V. Mohanty, J. Fang, SM Lee-Kan, HS Alavi, J. Salas, G. Patterson, E. Churchill. C. Wu, and D. A. Shamma
ACM CHI Conference on Human Factors in Computing
Systems (CHI ’24), Honolulu, HI, USA, 2024
Workshop
Past Meets Future: Human-AI Interaction for Digital History and Cultural Heritage
K. Luther, V. Mohanty, B.C.G. Lee, and I. Lykourentzou
ACM Conference on Intelligent User Interfaces (IUI 2024)
Greenvile, SC, USA, 2024
Workshop
Can LLMs Infer Domain Knowledge from Code Exemplars? A Preliminary Study
J. Guo, V. Mohanty, H. Hao, L. Gou, and L. Ren
ACM Conference on Intelligent User Interfaces (IUI 2024)
Greenvile, SC, USA, 2024
Poster
Photo Steward: A Deliberative Collective Intelligence Workflow for Validating Historical Archives
V. Mohanty and K. Luther.
ACM Conference on Collective Intelligence (CI 2023), Delft, Netherlands, 2023.
BackTrace: A Human-AI Collaborative Approach to Discovering Studio Backdrops in Historical Photographs
J. Lim, V. Mohanty, T. Dodson, and K. Luther.
AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2023), Delft, Netherlands, 2023.
Promoting Sustainable Charging Through User Interface Interventions
A. Filipowicz, N. Bravo, R. Iliev, V. Mohanty, C. Wu, and D. A. Shamma.
In 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI ’23), September 18–21, 2023, Ingolstadt, Germany.
Behind the Canvas: A Human-AI Workflow for Tracing 19th-Century Photographers and Studio Backdrops
V. Mohanty, J. Lim, T. Dodson, and K. Luther.
AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2023), Delft, Netherlands, 2023.
🏆 Best Poster/Demo
DoubleCheck: Designing Community-based Assessability for Historical Person Identification.
V. Mohanty and K. Luther
ACM Journal on Computing and Cultural Heritage (JOCCH), 2023.
Save A Tree or 6 kg of CO2? Understanding Effective Carbon Footprint Interventions for Eco-Friendly Vehicular Choices.
V. Mohanty, A. Filipowicz, N. Bravo, S. Carter, and D. A. Shamma.
ACM CHI Conference on Human Factors in Computing
Systems (CHI ’23), Hamburg, Germany, 2024
[Link to Video]
🏆 Honorable Mention
Pick Your CARbon: User Perceptions of Equivalencies for Carbon Emissions when Selecting Rideshares.
V. Mohanty, A. Filipowicz, N. Bravo, R. Iliev, S. Carter, and D. A. Shamma.
In 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI ’22 Adjunct), September 17– 20, 2022, Seoul, Republic of Korea.
Work-in-Progress
Civil War Twin: Exploring Ethical Challenges in Designing an Educational Face Recognition Application.
M. Kusuma, V. Mohanty, M. Wang, and K. Luther.
In Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society (AIES ’22). Association for Computing Machinery, New York, NY, USA, 369–384.
Double-Checking History: Designing Assessable Systems for Historical Photo Identification.
V. Mohanty and K. Luther.
AAAI Conference on Human Computation and Crowdsourcing (HCOMP), Virtual Conference, 2021
Demo
[Link to Video]
When Content Decides Where You Belong: Investigating Micro Communities on VSCO.
V. Mohanty and G. Patterson.
AAAI Conference on Human Computation and Crowdsourcing (HCOMP), Virtual Conference, 2021
Demo
[Link to Video]
Designing Human-AI Collaborative Systems for Historical Photo Identification.
V. Mohanty
AAAI Conference on Human Computation and Crowdsourcing (HCOMP), Virtual Conference, 2021
Graduate Consortium
[Link to Video]
SleuthTalk: Identifying Historical Photos with Intelligent Shortlists, Private Collaboration, and Structured Feedback
L. Yuan, V. Mohanty, and K. Luther.
CSCW ’21 Companion, October 23–27, 2021, Virtual Event
Demo
[Link to Video]
Supporting Historical Photo Identification with Face Recognition and Crowdsourced Human Expertise.
V. Mohanty, D. Thames, S. Mehta, and K. Luther.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence Sister Conferences Best Papers. Pages 4755-4759 (Invited Submission).
Extended Abstract
[Link to Video]
Photo Sleuth: Identifying Historical Portraits with Face Recognition and Crowdsourcing.
V. Mohanty, D. Thames, S. Mehta, and K. Luther.
ACM Transactions on Interactive Intelligent Systems (TiiS), 2020. (Invited Submission)
Second Opinion: Supporting Last-Mile Person Identification with Crowdsourcing and Face Recognition
V. Mohanty, K. Abdol-Hamid, C. Ebersohl and K. Luther.
Vol 7 No 1 (2019): Proceedings of the Seventh AAAI Conference on Human Computation and Crowdsourcing (25% acceptance rate)
Photo Sleuth: Combining Human Expertise and Face Recognition to Identify Historical Portraits.
V. Mohanty, D. Thames, S. Mehta, and K. Luther.
ACM Conference on Intelligent User Interfaces (IUI 2019), Los Angeles, CA, USA, 2019. (25% acceptance rate)
🏆 Best Paper
Are 1,000 Features Worth A Picture? Combining Crowdsourcing and Face Recognition to Identify Civil War Soldiers.
V. Mohanty, D. Thames, and K. Luther.
AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2018), Zurich, Switzerland, 2018.
🏆 Best Poster/Demo
Photo Sleuth: Combining Collective Intelligence and Computer Vision to Identify Historical Portraits.
V. Mohanty, D. Thames, and K. Luther.
ACM Conference on Collective Intelligence (CI 2018), Zurich, Switzerland, 2018. (32% acceptance rate for oral presentations)
Vikram Mohanty 