- Title
- AN EMPIRICAL STUDY MEASURING THE EFFECTS OF GENERATIVE AI ON EARLY-STAGE ENGINEERING DESIGN AND NEUROCOGNITION
- Creators
- Avinash Aruon - Virginia TechTripp Shealy - Virginia TechJohn Gero - University of North Carolina at Charlotte
- Publication Details
- Proceedings of ASME 2025 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC-CIE 2025, v 4, v004t06a048
- Grant note
- 2128039; 2128026 / National Science Foundation (http://data.elsevier.com/vocabulary/SciValFunders/100000001) National Science Foundation (http://data.elsevier.com/vocabulary/SciValFunders/100000001)
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Psychological and Brain Sciences (Psychology)
- Scopus ID
- 2-s2.0-105024064809
- Other Identifier
- 991022157477404721
Conference proceeding
AN EMPIRICAL STUDY MEASURING THE EFFECTS OF GENERATIVE AI ON EARLY-STAGE ENGINEERING DESIGN AND NEUROCOGNITION
Proceedings of ASME 2025 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC-CIE 2025, v 4, v004t06a048
2025
Abstract
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