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 🗺️🍜
📓 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. ⚔️📸
Heading over to @chi.acm.org means a break from online inactivity!
🚨 AI systems update constantly—but can users even tell?
In our #CHI2025 paper, we studied what happens when AI systems silently swap models under the hood. Do users notice? Do they perform better?
Spoiler: it’s complicated. 🤷
🚨 AI systems update constantly—but can users even tell?
In our #CHI2025 paper, we studied what happens when AI systems silently swap models under the hood. Do users notice? Do they perform better?
Spoiler: it’s complicated. 🤷
April 23, 2025 at 3:52 AM
Heading over to @chi.acm.org means a break from online inactivity!
🚨 AI systems update constantly—but can users even tell?
In our #CHI2025 paper, we studied what happens when AI systems silently swap models under the hood. Do users notice? Do they perform better?
Spoiler: it’s complicated. 🤷
🚨 AI systems update constantly—but can users even tell?
In our #CHI2025 paper, we studied what happens when AI systems silently swap models under the hood. Do users notice? Do they perform better?
Spoiler: it’s complicated. 🤷