Choosing methods and metrics for design feedback
Thesis: S.B., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2019
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Format: | Thesis |
Language: | eng |
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Massachusetts Institute of Technology
2019
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Online Access: | https://hdl.handle.net/1721.1/123267 |
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author | Steindl, Riley M. |
author2 | Maria Yang. |
author_facet | Maria Yang. Steindl, Riley M. |
author_sort | Steindl, Riley M. |
collection | MIT |
description | Thesis: S.B., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2019 |
first_indexed | 2024-09-23T13:11:05Z |
format | Thesis |
id | mit-1721.1/123267 |
institution | Massachusetts Institute of Technology |
language | eng |
last_indexed | 2024-09-23T13:11:05Z |
publishDate | 2019 |
publisher | Massachusetts Institute of Technology |
record_format | dspace |
spelling | mit-1721.1/1232672019-12-14T03:15:27Z Choosing methods and metrics for design feedback Steindl, Riley M. Maria Yang. Massachusetts Institute of Technology. Department of Mechanical Engineering. Massachusetts Institute of Technology. Department of Mechanical Engineering Mechanical Engineering. Thesis: S.B., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2019 Cataloged from PDF version of thesis. Includes bibliographical references (pages 18-19). Collecting feedback is an invaluable part of the design process because it helps inform useful and effective changes to products. With a multitude of different methods for gathering feedback and metrics for evaluation, it can be difficult to select the method and/or metrics that will provide the most useful feedback for a given stage of design. There is currently no condensed guide for selecting methods and metrics for feedback on the bases of stage of design, effort level, and data type. This study filled this gap through a literature review of 9 academic papers related to design evaluation methods and metrics. Following review, the information in these papers was analyzed to establish how evaluation methods and metrics relate to different stages of design, different data types, and relative effort levels. The result is description of the relationships between stage of design and suitability, evaluation method and data type, evaluation method and effort level, and evaluation metric vs data type. In all, this study provides useful information for designers to use when selecting the right evaluation methods and metrics to collect feedback on their designs. by Riley M. Steindl. S.B. S.B. Massachusetts Institute of Technology, Department of Mechanical Engineering 2019-12-13T18:58:27Z 2019-12-13T18:58:27Z 2019 2019 Thesis https://hdl.handle.net/1721.1/123267 1130062121 eng 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. http://dspace.mit.edu/handle/1721.1/7582 19 pages application/pdf Massachusetts Institute of Technology |
spellingShingle | Mechanical Engineering. Steindl, Riley M. Choosing methods and metrics for design feedback |
title | Choosing methods and metrics for design feedback |
title_full | Choosing methods and metrics for design feedback |
title_fullStr | Choosing methods and metrics for design feedback |
title_full_unstemmed | Choosing methods and metrics for design feedback |
title_short | Choosing methods and metrics for design feedback |
title_sort | choosing methods and metrics for design feedback |
topic | Mechanical Engineering. |
url | https://hdl.handle.net/1721.1/123267 |
work_keys_str_mv | AT steindlrileym choosingmethodsandmetricsfordesignfeedback |