Hari Subramonyam

@HariSubramonyam

PhD candidate at the University of Michigan. HCI. Designing Human-AI Systems. Tools for Scientific Reasoning.

Vrijeme pridruživanja: siječanj 2009.

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  1. Prikvačeni tweet
    20. sij

    Super excited to share our work on "Active Diagramming" with and in which we extend familiar active reading techniques for diagram construction and visual note-taking Paper: 1/6

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  2. proslijedio/la je Tweet
    5. velj

    I made a tool in which you can train simple machine learning models and see beautiful visualizations! Used

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  3. 31. sij

    Really cool library for creating SVGs with a "hand-drawn" look. We used it in our recent work on visual notetaking. The sketchy look affords edits during notetaking without coming off as "finished" Paper:

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  4. proslijedio/la je Tweet
    31. sij

    😀 Excited to share our paper "Synthesized Social Signals (S3s)" w/ & Taylor! What if we can know an account is toxic *before* interacting with it online? That's currently hard on social platforms. 1/6

    Ovo je potencijalno osjetljiv multimedijski sadržaj. Saznajte više
    A profile of Bob (imaginary person), a photographer at NY with a lot of followers. The profile border is red and there are tags "toxic" and "misinfo" above the bio, indicating that Bob is likely to be toxic and misinformation (derived from history of Bob's tweets), something hard to know from cover image, profile image, bio, and number of followers.
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  5. proslijedio/la je Tweet
    29. sij

    New postdoc starting in Fall 2020, working on ML or data science approaches for combating abusive behavior in online communities:

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  6. proslijedio/la je Tweet
    28. sij

    A new documentary that features my brother's research is coming out this week!

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  7. proslijedio/la je Tweet
    23. sij

    Happy to share the pre-print of this paper with . tl;dr: ppl experience lower pressure w Stories bc of private responses. The act of viewing, when made visible, can serve as a response by signaling attention

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  8. 20. sij

    Our architecture is designed to be extensible and supports a variety of structured diagrams (causal diagrams, mind-maps, timelines) as well as freeform visual notetaking video-figure: 6/6

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  9. 20. sij

    texSketch supports all these steps from within the same reading workflow. It allows readers to flexibly switch between selection, organization, and integration tasks to meet their comprehension needs. 5/6

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  10. 20. sij

    Motivation: Learning from text is a *constructive* activity in which readers combine sentence-level information to form coherent mental-models. Current active reading tools lack support for different steps to comprehension: selection, organization, and integration. 4/6

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  11. 20. sij

    Our evaluation shows that readers are able to make coherent diagrams when using texSketch when compared to pen-and-paper approaches (see design probe section in the paper) 3/6

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  12. 20. sij

    In texSketch - a tool we developed for Active Diagramming - we combine *pen-and-ink* interactions with *NLP techniques* to quickly and effectively create diagrams without burdening the reader. 2/6

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  13. proslijedio/la je Tweet
    9. pro 2019.

    Fascinating talk by Celeste Kidd on how people come to know what they know at

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  14. proslijedio/la je Tweet
    13. pro 2019.

    I gave a 30min talk about videogames, the cognitive science of learning, and how my whole career WAS A LIE 🧠 Learning & Games: A Confession 🧠 🕹🕹 (a talk I gave at earlier this year)

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  15. proslijedio/la je Tweet

    An API has two sides: first, the mental models underlying it, which should straightforwardly map to the mental models of domain experts. Then, the actual objects/signatures of the API. API design is mostly about designing the 1st. The 2nd is just a mechanical consequence of it.

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  16. proslijedio/la je Tweet
    3. pro 2019.

    In my paper for the AI for Social Good Workshop , I argue that "good" isn't good enough. CS attempts to do good lack both a definition of good and a theory of change for how to achieve it. These attempts to do good can cause significant harm.

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  17. 28. stu 2019.

    Flight attendant: Is there a doctor onboard? Dad: *nudging me* that should've been you Me: Not now Dad Dad: Not asking for a HCI Researcher to help, are they? Me: Dad, there's a medical emergency... Dad: Go and see if talking about “ design implications" help

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  18. proslijedio/la je Tweet

    Today I want to take a break from sharing research to share a personal story instead. It’s a story about my name, why I once decided to quit academia, why I came back, what I learnt from it, and why I’m grateful to have an audience here on Twitter.

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  19. proslijedio/la je Tweet

    I will be recruiting PhD students both through Harvard Business School (TOM Unit) and Harvard CS. Focus areas include but are not limited to: Machine Learning, Interpretability, Fairness, Causal Inference, HCI

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  20. proslijedio/la je Tweet

    I am giddy to see our crowd work research cited in the New York Times: !! 📰👨‍🏭 Great to see newspapers with worldwide influence & readership give coverage to the economical struggles that novice gig workers sometimes experience How do we improve this ?🛠️

    , , i još njih 7
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