1 citations · 2 across the 6 of their papers we have counts for
7 papers
AI and Collective Decisions: Strengthening Legitimacy and Losers' Consent
Suyash Fulay, Prerna Ravi, Emily Kubin +3
AI is increasingly used to scale collective decision-making, but far less attention has been paid to how such systems can support procedural legitimacy, particularly the conditions…
Agora: Teaching the Skill of Consensus-Finding with AI Personas Grounded in Human Voice
Prerna Ravi, Om Gokhale, Suyash Fulay +3
Deliberative democratic theory suggests that civic competence: the capacity to navigate disagreement, weigh competing values, and arrive at collective decisions is not innate but d…
Modeling Data-Driven Dominance Traits for Virtual Characters using Gait Analysis
Tanmay Randhavane, Aniket Bera, Emily Kubin +2
We present a data-driven algorithm for generating gaits of virtual characters with varying dominance traits. Our formulation utilizes a user study to establish a data-driven domina…
Pedestrian Dominance Modeling for Socially-Aware Robot Navigation
Tanmay Randhavane, Aniket Bera, Emily Kubin +3
We present a Pedestrian Dominance Model (PDM) to identify the dominance characteristics of pedestrians for robot navigation. Through a perception study on a simulated dataset of pe…
Data-Driven Modeling of Group Entitativity in Virtual Environments
Aniket Bera, Tanmay Randhavane, Emily Kubin +3
We present a data-driven algorithm to model and predict the socio-emotional impact of groups on observers. Psychological research finds that highly entitative i.e. cohesive and uni…
The Socially Invisible Robot: Navigation in the Social World using Robot Entitativity
Aniket Bera, Tanmay Randhavane, Emily Kubin +3
We present a real-time, data-driven algorithm to enhance the social-invisibility of robots within crowds. Our approach is based on prior psychological research, which reveals that…
Identifying Driver Behaviors using Trajectory Features for Vehicle Navigation
Ernest Cheung, Aniket Bera, Emily Kubin +2
We present a novel approach to automatically identify driver behaviors from vehicle trajectories and use them for safe navigation of autonomous vehicles. We propose a novel set of…