pith:XGPVHZO6
StreetDesignAI: Broadening Designer Perspectives Through Multi-Persona Evaluation of Cycling Infrastructure
Structured feedback from multiple AI-simulated cyclist personas helps transportation designers identify and address conflicting user needs more effectively than general-purpose chatbots.
arxiv:2601.15671 v3 · 2026-01-22 · cs.HC · cs.AI
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Claims
A within-subjects study with 26 transportation professionals comparing StreetDesignAI against a general-purpose AI chatbot demonstrates that structured multi-perspective feedback significantly broadens designers' understanding of various cyclists' perspectives, ability to identify diverse persona needs, and confidence in translating those needs into design decisions.
That the AI-simulated cyclist personas, derived from crowdsourced assessments, accurately and reliably represent the real experiential differences across diverse user groups in actual street environments.
StreetDesignAI uses multi-persona AI feedback to help designers identify and resolve experiential conflicts in cycling infrastructure through structured evaluation and iterative modification.
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| First computed | 2026-05-22T01:03:17.332190Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
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· · · · ·Agent API
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Canonical record JSON
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