Open Access. Powered by Scholars. Published by Universities.®

Engineering Commons

Open Access. Powered by Scholars. Published by Universities.®

Articles 1 - 4 of 4

Full-Text Articles in Engineering

Improving Human-Machine Collaboration Through Transparency-Based Feedback – Part I: Human Trust And Workload Model, Kumar Akash, Katelyn Polson, Neera Jain Feb 2019

Improving Human-Machine Collaboration Through Transparency-Based Feedback – Part I: Human Trust And Workload Model, Kumar Akash, Katelyn Polson, Neera Jain

School of Mechanical Engineering Faculty Publications

In this paper, we establish a partially observable Markov decision process(POMDP) model framework that captures dynamic changes in human trust and workload for contexts that involve interactions between humans and intelligent decision-aid systems. We use a reconnaissance mission study to elicit a dynamic change in human trust and workload with respect to the system’s reliability and user interface transparency as well as the presence or absence of danger. We use human subject data to estimate transition and observation probabilities of the POMDP model and analyze the trust-workload behavior of humans. Our results indicate that higher transparency is more likely to …


Improving Human-Machine Collaboration Through Transparency-Based Feedback – Part Ii: Control Design And Synthesis, Kumar Akash, Tahira Reid, Neera Jain Feb 2019

Improving Human-Machine Collaboration Through Transparency-Based Feedback – Part Ii: Control Design And Synthesis, Kumar Akash, Tahira Reid, Neera Jain

School of Mechanical Engineering Faculty Publications

To attain improved human-machine collaboration, it is necessary for autonomous systems to infer human trust and workload and respond accordingly. In turn, autonomous systems require models that capture both human trust and workload dynamics. In a companion paper, we developed a trust-workload partially observable Markov decision process (POMDP) model framework that captured changes in human trust and workload for contexts that involve interaction between a human and an intelligent decision-aid system. In this paper, we defne intuitive reward functions and show that these can be readily transformed for integration with the proposed POMDP model. We synthesize a near-optimal control policy …


A Detailed Modeling Study Of Radiative Heat Transfer In A Heavy-Duty Diesel Engine, Chandan Paul, Sebastian Ferreyro Fernandez, Daniel C. Haworth, Somesh Roy, Michael F. Modest Feb 2019

A Detailed Modeling Study Of Radiative Heat Transfer In A Heavy-Duty Diesel Engine, Chandan Paul, Sebastian Ferreyro Fernandez, Daniel C. Haworth, Somesh Roy, Michael F. Modest

Mechanical Engineering Faculty Research and Publications

In recent years, the importance of radiative heat transfer in combustion has been increasingly recognized. Detailed models have become available that accurately represent the complex spectral radiative properties of reacting gas mixtures and soot particles, and new methods have been developed to solve the radiative transfer equation (RTE). At the same time, the trends toward higher operating pressures and higher levels of exhaust-gas recirculation in compression-ignition engines, together with the demand for higher quantitative accuracy from in-cylinder CFD models, has led to renewed interest in radiative transfer in engines. Here an in-depth investigation of radiative heat transfer is performed for …


Modeling Electric Vehicle Energy Demand And Regional Electricity Generation Dispatch For New England And New York, Sarah E. Howerter Jan 2019

Modeling Electric Vehicle Energy Demand And Regional Electricity Generation Dispatch For New England And New York, Sarah E. Howerter

Graduate College Dissertations and Theses

The transportation sector is a largest emitter of greenhouse gases in the U.S., accounting for 28.6% of all 2016 emissions, the majority of which come from the passenger vehicle fleet [1,2]. One major technology that is being investigated by researchers, planners, and policy makers to help lower the emissions from the transportation sector is the plug-in electric vehicle (PEV). The focus of this work is to investigate and model the impacts of increased levels of PEVs on the regional electric power grid and on the net change in CO2 emissions due to the decrease tailpipe emissions and the increase in …