Predicting Human Strategies in Simulated Search and Rescue Task

11/15/2020
by   Vidhi Jain, et al.
4

In a search and rescue scenario, rescuers may have different knowledge of the environment and strategies for exploration. Understanding what is inside a rescuer's mind will enable an observer agent to proactively assist them with critical information that can help them perform their task efficiently. To this end, we propose to build models of the rescuers based on their trajectory observations to predict their strategies. In our efforts to model the rescuer's mind, we begin with a simple simulated search and rescue task in Minecraft with human participants. We formulate neural sequence models to predict the triage strategy and the next location of the rescuer. As the neural networks are data-driven, we design a diverse set of artificial "faux human" agents for training, to test them with limited human rescuer trajectory data. To evaluate the agents, we compare it to an evidence accumulation method that explicitly incorporates all available background knowledge and provides an intended upper bound for the expected performance. Further, we perform experiments where the observer/predictor is human. We show results in terms of prediction accuracy of our computational approaches as compared with that of human observers.

READ FULL TEXT
research
09/13/2018

Imitating Human Search Strategies for Assembly

We present a Learning from Demonstration method for teaching robots to p...
research
07/19/2019

Interactive Learning of Environment Dynamics for Sequential Tasks

In order for robots and other artificial agents to efficiently learn to ...
research
03/12/2023

Traj-MAE: Masked Autoencoders for Trajectory Prediction

Trajectory prediction has been a crucial task in building a reliable aut...
research
11/08/2019

Neural Networks for Predicting Human Interactions in Repeated Games

We consider the problem of predicting human players' actions in repeated...
research
01/24/2021

Guilty Artificial Minds

The concepts of blameworthiness and wrongness are of fundamental importa...
research
09/14/2019

Towards Effective Human-AI Teams: The Case of Collaborative Packing

We focus on the problem of designing an artificial agent, capable of ass...
research
01/08/2010

Decisional Processes with Boolean Neural Network: the Emergence of Mental Schemes

Human decisional processes result from the employment of selected quanti...

Please sign up or login with your details

Forgot password? Click here to reset