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Research PaperResearchia:202609.17050

Affora: A Design System for Agent-Friendly Interfaces

Jin Gao

Abstract

Computer-use agents increasingly operate software designed for people, but interfaces often leave actions or task state unclear to machine readers. We present Affora, a design system that supports both readers while preserving visual freedom and familiar human workflows. Three controlled studies examine component implementations, visual variation, and interaction-design principles. Their findings inform guidance from individual components to complete sites, supported by reusable implementations ...

Submitted: September 17, 2026Subjects: AI; Artificial Intelligence

Description / Details

Computer-use agents increasingly operate software designed for people, but interfaces often leave actions or task state unclear to machine readers. We present Affora, a design system that supports both readers while preserving visual freedom and familiar human workflows. Three controlled studies examine component implementations, visual variation, and interaction-design principles. Their findings inform guidance from individual components to complete sites, supported by reusable implementations and executable checks. Agent performance depends on the interaction meaning available through its interface representation; substantial visual variation remains possible when that meaning is preserved. Evaluation on independently authored interfaces shows gains where Affora addresses existing deficits, but limited effects where those deficits are absent or outside its coverage. A workflow case provides preliminary evidence of reduced interaction cost. Affora connects user experience and agent experience through a shared interface rather than a separate agent-only surface.


Source: arXiv:2609.19125v1 - http://arxiv.org/abs/2609.19125v1 PDF: https://arxiv.org/pdf/2609.19125v1 Original Link: http://arxiv.org/abs/2609.19125v1

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Submission Info
Date:
Sep 17, 2026
Topic:
Artificial Intelligence
Area:
AI
Comments:
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