most citedExploration of Self-Propelling Droplets Using a Curiosity Driven Robotic Assistant

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2022

IFTT-PIN: A PIN-Entry Method Leveraging the Self-Calibration Paradigm

Jonathan Grizou

IFTT-PIN is a self-calibrating version of the PIN-entry method introduced in Roth et al. (2004) [1]. In [1], digits are split into two sets and assigned a color respectively. To co…

cs.AI2022

Metaversal Learning Environments: Measuring, predicting and improving interpersonal effectiveness

Arjun Nagendran, Scott Compton, William Follette +3

Experiential learning has been known to be an engaging and effective modality for personal and professional development. The Metaverse provides ample opportunities for the creation…

cs.HC2022

IFTT-PIN: Demonstrating the Self-Calibration Paradigm on a PIN-Entry Task

Jonathan Grizou

We demonstrate IFTT-PIN, a self-calibrating version of the PIN-entry method introduced in Roth et al. (2004) [1]. In [1], digits are split into two sets and assigned a color respec…

cs.HC2019

The Open Vault Challenge -- Learning how to build calibration-free interactive systems by cracking the code of a vault

Jonathan Grizou

This demo takes the form of a challenge to the IJCAI community. A physical vault, secured by a 4-digit code, will be placed in the demo area. The author will publicly open the vaul…

cond-mat.soft20191 cited

Exploration of Self-Propelling Droplets Using a Curiosity Driven Robotic Assistant

Jonathan Grizou, Laurie J. Points, Abhishek Sharma +1

We describe a chemical robotic assistant equipped with a curiosity algorithm (CA) that can efficiently explore the state a complex chemical system can exhibit. The CA-robot is desi…