DoubleCheck: Designing Community-based Assessability for Historical Person Identification.
V. Mohanty and K. Luther
ACM Journal on Computing and Cultural Heritage (JOCCH) [to appear]

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.
In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI ’23), April 23–28, 2023, Hamburg, Germany.
[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]

Sedition Hunters: Countering Extremism with Collective Action.
S. Venkatagiri, V. Mohanty, T. Yu, and K. Luther.
CSCW 2021 Workshop on Addressing Challenges and Opportunities in Online Extremism Research: An Interdisciplinary Perspective (Virtual Workshop), 2021

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]

Find Your Twin in History: Exploring Ethical Design Challenges in Facial Recognition.
V. Mohanty, M. Wang, M. Kusuma, and K. Luther.
CSCW 2021 Workshop on Ethics in Design (Virtual Workshop), 2021

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), 10(4), 1-36 (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)