DeskCraft: Benchmarking Desktop Agents on Professional Workflows and Human-in-the-Loop Collaboration
arXiv:2606.03103v1 Announce Type: new Abstract: Real-world professional desktop workflows in specialized creative and engineering software unfold over long horizons and often require human-in-the-loop coordination, where agents proactively seek necessary information and users provide additional instructions, clarifications, feedback, or corrections as the task progresses. Yet existing desktop GUI benchmarks mostly reduce this setting to short, simplified tasks with all user instructions provided upfront. To address this issue, we introduce DeskCraft, a desktop GUI benchmark targeting long hori
The rapid advancement in AI models necessitates more sophisticated benchmarks that reflect real-world, complex human-computer interaction, especially in professional environments.
This benchmark addresses a critical gap in assessing AI agents' capabilities in long-horizon, human-in-the-loop professional workflows, which are key to unlocking significant productivity gains.
The focus for AI agent development will shift towards handling complex, multi-step tasks requiring human collaboration, moving beyond simplified, upfront-instruction scenarios.
- · AI agent developers
- · Productivity software companies
- · Knowledge workers
- · Outdated GUI benchmark providers
- · Companies with simple AI automation strategies
Improved, more robust AI agents capable of handling professional desktop tasks collaboratively with humans.
Accelerated automation of complex white-collar workflows, leading to significant changes in task allocation and job roles.
Enhanced overall economic productivity as AI agents become integrated into a wider array of specialized professions, potentially reshaping the future of work.
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Read at arXiv cs.AI