Massachusetts Institute of Technology
A training methodology for spatial orientation in spacecraft
Abstract
dc:description.abstractThis thesis investigates a way to use virtual reality techniques to teach space vehicle inhabitants about the configuration of their craft so that their performance in orientation and spatial memory tasks is improved. An "adjacency training" method was developed that taught connections between landmarks in two joined modules with inconsistent visual verticals by emphasizing functional relationships among adjacent surfaces within and between modules. An experiment was performed (n = 17) that compared this training with a control treatment that emphasized the rotational relationship between the two modules as a whole rather than connections between individual surfaces. On average, adjacency training was not effective in decreasing the total time to respond or increasing the accuracy in placement and orientation of module walls between the two modules. Adjacency trained subjects were significantly better in responding to a novel perspective. All subjects responded to an orienting cue surface more quickly when visually upright, suggesting their spatial knowledge of both groups remained orientation dependent.
Degree
thesis:*- Department dc:contributor.department
- Massachusetts Institute of Technology. Dept. of Aeronautics and Astronautics.
- Grantor dc:publisher
- Massachusetts Institute of Technology
- Year dc:date.issued
- 2006
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Buckland, Daniel Aaron
- Advisor dc:contributor.advisor
-
- Charles M. Oman.
Subjects
dc:subject × 1Rights
dc:rights- Statement dc:rights
-
- M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
- Licence dc:rights.uri
- Language dc:language.iso
- eng
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- http://hdl.handle.net/1721.1/37853
- OAI identifier oai:identifier
- oai:dspace.mit.edu:1721.1/37853