DevicesWorld: Benchmarking Cross-Device Agents in Heterogeneous Environments

LLM-based agents have rapidly improved at operating individual digital environments such as mobile applications, desktop systems, and smart homes. However, real-world user goals often span multiple devices: information may come from a phone, be processed on a desktop, and the result may need to appear on another device. Most existing benchmarks center on a single dominant execution environment, making it difficult to evaluate whether agents can acquire and integrate information across heterogene

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ethics.ai (15 July 2026), “DevicesWorld: Benchmarking Cross-Device Agents in Heterogeneous Environments,” evidence record 10926, https://ethics.ai/record/10926 (originally published by arXiv cs.HC).

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