The effect of targeting both quantitative and qualitative objectives in generative design tools on the design outcomes
Current generative design tools backed by artificial intelligence (AI) primarily allow for quantitative inputs while qualitative aspects of a design, in particular aesthetics, have been shown to be considered indirectly by designers. To explore this further, controlled lab experiments were conducted...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Springer London
2024
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| Online Access: | https://hdl.handle.net/1721.1/156924 |
| _version_ | 1824457961331752960 |
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| author | Saadi, Jana I. Chong, Leah Yang, Maria C. |
| author2 | MIT Morningside Academy for Design |
| author_facet | MIT Morningside Academy for Design Saadi, Jana I. Chong, Leah Yang, Maria C. |
| author_sort | Saadi, Jana I. |
| collection | MIT |
| description | Current generative design tools backed by artificial intelligence (AI) primarily allow for quantitative inputs while qualitative aspects of a design, in particular aesthetics, have been shown to be considered indirectly by designers. To explore this further, controlled lab experiments were conducted to understand how designers incorporate quantitative and qualitative objectives while using generative design tools and how their behavior may affect design performance. Thirty-four participants completed a design task with quantitative and qualitative objectives with and without generative design tools. The outcomes produced using generative design tools displayed a greater aesthetic diversity and expanded a larger portion of the objective space compared to those without using a generative design tool. Participants also expressed the ability to focus on the qualitative objectives by delegating the quantitative objective to the generative design tool. This showcases the potential for high-performing generative design tools to assist human designers by alleviating part of their cognitive load when balancing multiple objectives, giving them the bandwidth to focus on other objectives not fully incorporated by the tool. In this way, leveraging the expertise of both the human designer and the generative design tool can allow for greater consideration of various objectives throughout the design process. |
| first_indexed | 2024-09-24T10:43:18Z |
| format | Article |
| id | mit-1721.1/156924 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2025-02-19T04:18:19Z |
| publishDate | 2024 |
| publisher | Springer London |
| record_format | dspace |
| spelling | mit-1721.1/1569242025-02-13T19:41:33Z The effect of targeting both quantitative and qualitative objectives in generative design tools on the design outcomes Saadi, Jana I. Chong, Leah Yang, Maria C. MIT Morningside Academy for Design Massachusetts Institute of Technology. Department of Mechanical Engineering Current generative design tools backed by artificial intelligence (AI) primarily allow for quantitative inputs while qualitative aspects of a design, in particular aesthetics, have been shown to be considered indirectly by designers. To explore this further, controlled lab experiments were conducted to understand how designers incorporate quantitative and qualitative objectives while using generative design tools and how their behavior may affect design performance. Thirty-four participants completed a design task with quantitative and qualitative objectives with and without generative design tools. The outcomes produced using generative design tools displayed a greater aesthetic diversity and expanded a larger portion of the objective space compared to those without using a generative design tool. Participants also expressed the ability to focus on the qualitative objectives by delegating the quantitative objective to the generative design tool. This showcases the potential for high-performing generative design tools to assist human designers by alleviating part of their cognitive load when balancing multiple objectives, giving them the bandwidth to focus on other objectives not fully incorporated by the tool. In this way, leveraging the expertise of both the human designer and the generative design tool can allow for greater consideration of various objectives throughout the design process. 2024-09-23T15:54:24Z 2024-09-23T15:54:24Z 2024-09-18 2024-09-22T03:13:57Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/156924 Saadi, J.I., Chong, L. & Yang, M.C. The effect of targeting both quantitative and qualitative objectives in generative design tools on the design outcomes. Res Eng Design (2024). PUBLISHER_CC en https://doi.org/10.1007/s00163-024-00440-y Research in Engineering Design Creative Commons Attribution https://creativecommons.org/licenses/by/4.0/ The Author(s) application/pdf Springer London Springer London |
| spellingShingle | Saadi, Jana I. Chong, Leah Yang, Maria C. The effect of targeting both quantitative and qualitative objectives in generative design tools on the design outcomes |
| title | The effect of targeting both quantitative and qualitative objectives in generative design tools on the design outcomes |
| title_full | The effect of targeting both quantitative and qualitative objectives in generative design tools on the design outcomes |
| title_fullStr | The effect of targeting both quantitative and qualitative objectives in generative design tools on the design outcomes |
| title_full_unstemmed | The effect of targeting both quantitative and qualitative objectives in generative design tools on the design outcomes |
| title_short | The effect of targeting both quantitative and qualitative objectives in generative design tools on the design outcomes |
| title_sort | effect of targeting both quantitative and qualitative objectives in generative design tools on the design outcomes |
| url | https://hdl.handle.net/1721.1/156924 |
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