Vikram Mohanty
@vikram.phd
Postdoc @ CMU HCII | Crowdsourcing | Human-AI Collaboration | Online Communities | PhD @VT_CS @CHCI_VT | Prev: @boschusa @ToyotaResearch @VSCO @Dataminr @IITKgp
https://vikrammohanty.com/
https://vikrammohanty.com/
This trip also marks 🇯🇵 800 days of Japanese on Duolingo! 😂Can confidently order 🥤 & 🍚
Looking forward to meeting y’all at #CHI2025! 👋
Would love to chat about HAI collaboration, startups, new career adventures, or just swap chaotic ✈️ stories and explore Yokohama 🗺️🍜
Looking forward to meeting y’all at #CHI2025! 👋
Would love to chat about HAI collaboration, startups, new career adventures, or just swap chaotic ✈️ stories and explore Yokohama 🗺️🍜
April 23, 2025 at 3:52 AM
This trip also marks 🇯🇵 800 days of Japanese on Duolingo! 😂Can confidently order 🥤 & 🍚
Looking forward to meeting y’all at #CHI2025! 👋
Would love to chat about HAI collaboration, startups, new career adventures, or just swap chaotic ✈️ stories and explore Yokohama 🗺️🍜
Looking forward to meeting y’all at #CHI2025! 👋
Would love to chat about HAI collaboration, startups, new career adventures, or just swap chaotic ✈️ stories and explore Yokohama 🗺️🍜
Excited to present this work done with Jude Lim &
@kurtluther.bsky.social
🗓 Talk: Tues, April 29 — Human-Agent Interaction @ #CHI2025
📍 Annex Hall F204
@kurtluther.bsky.social
🗓 Talk: Tues, April 29 — Human-Agent Interaction @ #CHI2025
📍 Annex Hall F204
April 23, 2025 at 3:52 AM
Excited to present this work done with Jude Lim &
@kurtluther.bsky.social
🗓 Talk: Tues, April 29 — Human-Agent Interaction @ #CHI2025
📍 Annex Hall F204
@kurtluther.bsky.social
🗓 Talk: Tues, April 29 — Human-Agent Interaction @ #CHI2025
📍 Annex Hall F204
Across both studies, users struggled to notice model updates — even when the changes shaped their behavior and perception!
People formed folk theories, misattributed differences, and often preferred models based on feel over facts.
📄 Learn more here: arxiv.org/abs/2311.10652
People formed folk theories, misattributed differences, and often preferred models based on feel over facts.
📄 Learn more here: arxiv.org/abs/2311.10652
What Lies Beneath? Exploring the Impact of Underlying AI Model Updates in AI-Infused Systems
AI models are constantly evolving, with new versions released frequently. Human-AI interaction guidelines encourage notifying users about changes in model capabilities, ideally supported by thorough b...
arxiv.org
April 23, 2025 at 3:52 AM
Across both studies, users struggled to notice model updates — even when the changes shaped their behavior and perception!
People formed folk theories, misattributed differences, and often preferred models based on feel over facts.
📄 Learn more here: arxiv.org/abs/2311.10652
People formed folk theories, misattributed differences, and often preferred models based on feel over facts.
📄 Learn more here: arxiv.org/abs/2311.10652
📓 Study 2:
A 2-week diary study with active Photo Sleuth users.
This time, users could toggle between the two models.
Which model did they prefer? Why?
How did they make sense of the differences?
And what folk theories did they build to explain what the AI was doing? 🧠🤖
A 2-week diary study with active Photo Sleuth users.
This time, users could toggle between the two models.
Which model did they prefer? Why?
How did they make sense of the differences?
And what folk theories did they build to explain what the AI was doing? 🧠🤖
April 23, 2025 at 3:52 AM
📓 Study 2:
A 2-week diary study with active Photo Sleuth users.
This time, users could toggle between the two models.
Which model did they prefer? Why?
How did they make sense of the differences?
And what folk theories did they build to explain what the AI was doing? 🧠🤖
A 2-week diary study with active Photo Sleuth users.
This time, users could toggle between the two models.
Which model did they prefer? Why?
How did they make sense of the differences?
And what folk theories did they build to explain what the AI was doing? 🧠🤖
👥 Study 1:
An online experiment with 252 participants.
Across 8 trials, users interacted with two different facial recognition models—but were NOT told if (or when) the model had changed.
Could they tell the difference? Did it affect their behavior or performance?
An online experiment with 252 participants.
Across 8 trials, users interacted with two different facial recognition models—but were NOT told if (or when) the model had changed.
Could they tell the difference? Did it affect their behavior or performance?
April 23, 2025 at 3:52 AM
👥 Study 1:
An online experiment with 252 participants.
Across 8 trials, users interacted with two different facial recognition models—but were NOT told if (or when) the model had changed.
Could they tell the difference? Did it affect their behavior or performance?
An online experiment with 252 participants.
Across 8 trials, users interacted with two different facial recognition models—but were NOT told if (or when) the model had changed.
Could they tell the difference? Did it affect their behavior or performance?
To explore this question, we ran two studies using Civil War Photo Sleuth (civilwarphotosleuth.com), a real-world historical photo ID platform, as our testbed.
The system uses facial recognition + human expertise to ID Civil War-era portraits. ⚔️📸
The system uses facial recognition + human expertise to ID Civil War-era portraits. ⚔️📸
April 23, 2025 at 3:52 AM
To explore this question, we ran two studies using Civil War Photo Sleuth (civilwarphotosleuth.com), a real-world historical photo ID platform, as our testbed.
The system uses facial recognition + human expertise to ID Civil War-era portraits. ⚔️📸
The system uses facial recognition + human expertise to ID Civil War-era portraits. ⚔️📸
Thanks Mia! :) We’re really excited to bring some more cool stuff out in the coming months!
March 13, 2025 at 8:51 AM
Thanks Mia! :) We’re really excited to bring some more cool stuff out in the coming months!
The course website is soooo cool!! 😍
December 7, 2024 at 12:52 AM
The course website is soooo cool!! 😍