Rethinking IDE Customization for Enhanced HAX: A Hyperdimensional Perspective
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arXiv
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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866929659865726976 |
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| author | Koohestani, Roham Izadi, Maliheh |
| author_facet | Koohestani, Roham Izadi, Maliheh |
| contents | As Integrated Development Environments (IDEs) increasingly integrate Artificial Intelligence, Software Engineering faces both benefits like productivity gains and challenges like mismatched user preferences. We propose Hyper-Dimensional (HD) vector spaces to model Human-Computer Interaction, focusing on user actions, stylistic preferences, and project context. These contributions aim to inspire further research on applying HD computing in IDE design. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_02491 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Rethinking IDE Customization for Enhanced HAX: A Hyperdimensional Perspective Koohestani, Roham Izadi, Maliheh Software Engineering Artificial Intelligence As Integrated Development Environments (IDEs) increasingly integrate Artificial Intelligence, Software Engineering faces both benefits like productivity gains and challenges like mismatched user preferences. We propose Hyper-Dimensional (HD) vector spaces to model Human-Computer Interaction, focusing on user actions, stylistic preferences, and project context. These contributions aim to inspire further research on applying HD computing in IDE design. |
| title | Rethinking IDE Customization for Enhanced HAX: A Hyperdimensional Perspective |
| topic | Software Engineering Artificial Intelligence |
| url | https://arxiv.org/abs/2501.02491 |