Utkarsh Dwivedi

Learn More
When crowdsourcing systems are used in combination with machine inference systems in the real world, they benefit the most when the machine system is deeply integrated with the crowd workers. However, if researchers wish to integrate the crowd with " off-the-shelf " machine classifiers, this deep integration is not always possible. This work explores two(More)
Math word problems are difficult for students to start with since they involve understanding the problem?s context and abstracting out its underlying mathematical operations. A visual understanding of the problem at hand can be very useful for the comprehension of the problem. We present a system VisualMath that uses machine learning tools and crafted(More)
Gaze based navigation with digital screens offer a hands-free and touchless interaction, which is often useful in providing a hygienic interaction experience in a public kiosk scenario. The goodness of such a navigation system depends not only on the accuracy of detecting the eye gaze but also on the ability to determine whether a user is interested in(More)
This paper introduces {it EyamKayo}, a first-of-its-kind interactive CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart), using eye gaze and facial expression based human interactions, to better distinguish humans from software robots. Our system generates a sequence of instructions, asking the user to follow a controlled(More)
We present the design of Note Code -- a music programming puzzle game designed as a tangible device coupled with a Graphical User Interface (GUI). Tapping patterns and placing boxes in proximity enables programming these "note-boxes" to store sets of notes, play them back and activate different sub-components or neighboring boxes. This system provides users(More)
  • 1