Document Type
Thesis
Date of Award
12-31-2024
Degree Name
Master of Science in Data Science - (M.S.)
Department
Data Science
First Advisor
Aritra Dasgupta
Second Advisor
James Geller
Third Advisor
Akshay Rangamani
Abstract
Humans and machines both possess their unique capabilities and have their strengths and weaknesses, which can be complementary to one another and allow them to achieve a common goal. Teaming in the modern era involves text prompts, voice commands, gesture recognition, touch interfaces, and the latest visualization techniques that allow parties/agents to interact. Communication through visualization plays a vital role in allowing robust insights to be gained through a glance. Using visualization as a medium between humans and machines can increase the communication bandwidth. Human-machine teaming has witnessed much progress, with many theories and practical examples emerging. In the report, the goal is to provide a systematic analysis of theories, techniques, and methods used to approach the human-machine interface. This review also presents some limitations and open challenges in the literature of Human-Machine Teaming and Interactions using multiple view visualizations.
Recommended Citation
Battula, Naga Datha Saikiran, "Surveying the role of visual analytics in human-machine teaming" (2024). Theses. 2946.
https://digitalcommons.njit.edu/theses/2946
Included in
Artificial Intelligence and Robotics Commons, Graphics and Human Computer Interfaces Commons
