Vikram Mohanty

According to our database, Vikram Mohanty authored at least 19 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Past Meets Future: Human-AI Interaction for Digital History and Cultural Heritage.

Kurt Luther, Vikram Mohanty, Benjamin Charles Germain Lee, Ioanna Lykourentzou

Proceedings of the Companion Proceedings of the 29th International Conference on Intelligent User Interfaces, 2024

Can LLMs Infer Domain Knowledge from Code Exemplars? A Preliminary Study.

Jiajing Guo, Vikram Mohanty, Hongtao Hao, Liang Gou, Liu Ren

Proceedings of the Companion Proceedings of the 29th International Conference on Intelligent User Interfaces, 2024

Sustaining Scalable Sustainability: Human-Centered Green Technology for Community-wide Carbon Reduction.

Vikram Mohanty, Jingchao Fang, Song Mi Lee-Kan, Hamed S. Alavi, Joaquín Salas, Genevieve Patterson, Elizabeth F. Churchill, Charlene C. Wu, David A. Shamma

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

Investigating Interaction Modes and User Agency in Human-LLM Collaboration for Domain-Specific Data Analysis.

Jiajing Guo, Vikram Mohanty, Jorge Henrique Piazentin Ono, Hongtao Hao, Liang Gou, Liu Ren

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

2023

DoubleCheck: Designing Community-based Assessability for Historical Person Identification.

Vikram Mohanty, Kurt Luther

ACM Journal on Computing and Cultural Heritage, December, 2023

Designing Human-AI Collaborative Systems for Historical Photo Identification.

Vikram Mohanty

PhD thesis, 2023

What Lies Beneath? Exploring the Impact of Underlying AI Model Updates in AI-Infused Systems.

Vikram Mohanty, Jude Lim, Kurt Luther

CoRR, 2023

Photo Steward: A Deliberative Collective Intelligence Workflow for Validating Historical Archives.

Vikram Mohanty, Kurt Luther

Proceedings of The ACM Collective Intelligence Conference, 2023

Save A Tree or 6 kg of CO2? Understanding Effective Carbon Footprint Interventions for Eco-Friendly Vehicular Choices.

Vikram Mohanty, Alexandre L. S. Filipowicz, Nayeli Suseth Bravo, Scott A. Carter, David A. Shamma

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

Promoting Sustainable Charging Through User Interface Interventions.

Alexandre L. S. Filipowicz, Nayeli Suseth Bravo, Rumen Iliev, Vikram Mohanty, Charlene C. Wu, David A. Shamma

Proceedings of the 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2023

2022

Pick Your CARbon: User Perceptions of Equivalencies for Carbon Emissions when Selecting Rideshares.

Vikram Mohanty, Alexandre L. S. Filipowicz, Nayeli Suseth Bravo, Rumen Iliev, Scott A. Carter, David A. Shamma

Proceedings of the AutomotiveUI '22: 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications - Adjunct Proceedings, Seoul, Republic of Korea, September 17, 2022

Civil War Twin: Exploring Ethical Challenges in Designing an Educational Face Recognition Application.

Manisha Kusuma, Vikram Mohanty, Marx Wang, Kurt Luther

Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022

2021

SleuthTalk: Identifying Historical Photos with Intelligent Shortlists, Private Collaboration, and Structured Feedback.

Liling Yuan, Vikram Mohanty, Kurt Luther

Proceedings of the Companion Publication of the 2021 ACM Conference on Computer Supported Cooperative Work and Social Computing, 2021

2020

Photo Sleuth: Identifying Historical Portraits with Face Recognition and Crowdsourced Human Expertise.

Vikram Mohanty, David Thames, Sneha Mehta, Kurt Luther

ACM Trans. Interact. Intell. Syst., 2020

Supporting Historical Photo Identification with Face Recognition and Crowdsourced Human Expertise (Extended Abstract).

Vikram Mohanty, David Thames, Sneha Mehta, Kurt Luther

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Photo sleuth: combining human expertise and face recognition to identify historical portraits.

Vikram Mohanty, David Thames, Sneha Mehta, Kurt Luther

Proceedings of the 24th International Conference on Intelligent User Interfaces, 2019

Second Opinion: Supporting Last-Mile Person Identification with Crowdsourcing and Face Recognition.

Vikram Mohanty, Kareem Abdol-Hamid, Courtney Ebersohl, Kurt Luther

Proceedings of the Seventh AAAI Conference on Human Computation and Crowdsourcing, 2019

2018

Are 1, 000 Features Worth A Picture? Combining Crowdsourcing and Face Recognition to Identify Civil War Soldiers.

Vikram Mohanty, David Thames, Kurt Luther

Proceedings of the HCOMP 2018 Works in Progress and Demonstration Papers Track of the sixth AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2018), 2018

2016

DeepVO: A Deep Learning approach for Monocular Visual Odometry.

Vikram Mohanty, Shubh Agrawal, Shaswat Datta, Arna Ghosh, Vishnu Dutt Sharma, Debashish Chakravarty

CoRR, 2016