GUI vs. CLI: Execution Bottlenecks in Screen-Only and Skill-Mediated Computer-Use Agents
📰 ArXiv cs.AI
Learn how to identify execution bottlenecks in GUI vs. CLI agents and optimize computer-use agents' performance by understanding the differences in interaction modalities
Action Steps
- Configure a benchmarking environment to compare GUI and CLI agents
- Run identical tasks on both GUI and CLI agents to identify execution bottlenecks
- Analyze the results to determine the impact of interaction modality on task execution
- Optimize agent performance by selecting the most suitable interaction modality for each task
- Compare the performance of screen-only GUI agents and skill-mediated CLI agents
Who Needs to Know This
Software engineers, AI researchers, and DevOps teams can benefit from understanding the trade-offs between GUI and CLI agents to improve the efficiency of their computer-use agents
Key Insight
💡 Understanding the differences in execution bottlenecks between GUI and CLI agents can help optimize computer-use agents' performance
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🤖 GUI vs. CLI: Which interaction modality is best for computer-use agents? 📊
Key Takeaways
Learn how to identify execution bottlenecks in GUI vs. CLI agents and optimize computer-use agents' performance by understanding the differences in interaction modalities
Full Article
Title: GUI vs. CLI: Execution Bottlenecks in Screen-Only and Skill-Mediated Computer-Use Agents
Abstract:
arXiv:2606.24551v1 Announce Type: new Abstract: Computer-use agents can execute software tasks through either graphical interfaces or programmatic command interfaces, but existing evaluations confound interaction modality with differences in tasks, initial states, verifiers, and permitted actions. We introduce a matched execution-layer benchmark of 440 desktop tasks across 18 applications and 12 workflow categories, where screen-only GUI agents and skill-mediated CLI agents receive identical goa
Abstract:
arXiv:2606.24551v1 Announce Type: new Abstract: Computer-use agents can execute software tasks through either graphical interfaces or programmatic command interfaces, but existing evaluations confound interaction modality with differences in tasks, initial states, verifiers, and permitted actions. We introduce a matched execution-layer benchmark of 440 desktop tasks across 18 applications and 12 workflow categories, where screen-only GUI agents and skill-mediated CLI agents receive identical goa
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