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Affora: A Design System for Agent-Friendly Interfaces

Paper recorded by Signals 4 on 2026-09-16 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-16 on arXiv · recorded by Signals 4 on 2026-09-17

Category: cs.AI · 人工智能 · first seen 2026-09-17

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

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#25 most recent of 300 cs.AI papers we have recorded · ↑ newer: Cognitive Extensions for Dual-Process Language Agents: Memory and Self · ↓ older: Flag Game: A Toy Model for Mechanistic Swarm Interpretability
Cite this page: Affora: A Design System for Agent-Friendly Interfaces: the #25 most recent of 300 cs.AI papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/affora-a-design-system-for-agent-friendly-interfaces.html
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