A micro- and macro- analysis of human-machine interfaces and systems in space

Humans and machines interact with each other on a variety of scales. Interactions can involve tightly coupled interfaces or even be socio-technical in nature. In terms of large complex systems, humans learn to interact and access these systems in the context of dierent social, political, technical, and economic environments. And yet despite this breadth, research on human-machine interactions on all scales depends on having metrics for evaluation and platforms upon which measurement can take place. This thesis investigated the utilization of new metrics for studying human-machine interfaces and systems at a micro and macro scale. At the micro scale, we investigated how humans may strategize to move their bodies in order to complete a agility-based running tasks. For a slalom course, an optimal control model was formulated to analyze the characteristics of an optimal path trajectory to complete the task as quickly as possible.

Name thesis:degree_name

Master

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Aeronautics and Astronautics

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2019

Author dc:creator

• Joseph, Christine

Advisor dc:contributor.advisor

• Leia Stirling and Danielle Wood.

• Aeronautics and Astronautics.
• Institute for Data, Systems, and Society.
• Technology and Policy Program.

Statement dc:rights

• MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/122681

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/122681