no code implementations • 15 Jul 2022 • Sujeong Kim, Abhinav Garlapati, Jonah Lubin, Amir Tamrakar, Ajay Divakaran
We present a series of two studies conducted to understand user's affective states during voice-based human-machine interactions.
no code implementations • 14 Jul 2021 • Sujeong Kim, Amir Tamrakar
We propose a method to generate optimal natural language for block placement directives generated by a machine's planner during human-agent interactions in the blocks world.
no code implementations • 17 Jun 2021 • Anirudh Som, Sujeong Kim, Bladimir Lopez-Prado, Svati Dhamija, Nonye Alozie, Amir Tamrakar
Collaboration is identified as a required and necessary skill for students to be successful in the fields of Science, Technology, Engineering and Mathematics (STEM).
no code implementations • 2 Dec 2020 • Jihua Huang, Amir Tamrakar
We show that ACE-Net generated contours are better than contours interpolated straight from the 68 GT landmarks and ACE-Net also outperforms models trained only with full supervision from GT landmarks-based contours.
no code implementations • 13 Jul 2020 • Anirudh Som, Sujeong Kim, Bladimir Lopez-Prado, Svati Dhamija, Nonye Alozie, Amir Tamrakar
K-12 classrooms consistently integrate collaboration as part of their learning experiences.
no code implementations • NAACL 2018 • Sujeong Kim, David Salter, Luke DeLuccia, Kilho Son, Mohamed R. Amer, Amir Tamrakar
We demonstrate an intelligent conversational agent system designed for advancing human-machine collaborative tasks.
no code implementations • 21 Mar 2016 • Timothy J. Shields, Mohamed R. Amer, Max Ehrlich, Amir Tamrakar
We propose a new model that enhances the CRBM model with a factored multi-task component to become Multi-Task Conditional Restricted Boltzmann Machines (MTCRBMs).
no code implementations • 6 May 2015 • Mohamed R. Amer, Behjat Siddiquie, Amir Tamrakar, David A. Salter, Brian Lande, Darius Mehri, Ajay Divakaran
We present a novel approach to computational modeling of social interactions based on modeling of essential social interaction predicates (ESIPs) such as joint attention and entrainment.