arXiv:2606.15601v1 Announce Type: cross Abstract: We introduce SCAN -- a human-centric decision-making framework to facilitate learners for effective task allocation with Generative Artificial Intelligence (GenAI) based on Vygotsky's Zone of Proximal Development and Metacognition. In SCAN, we systematize and formalize AI-human interaction by introducing a task-identification approach with four "sub-zones": Substitute, Complement, Aid, and Non-negotiable. After describing the four sub-zones, we demonstrate how SCAN framework can be applied for knowledge workers in the workplace and students in
The rapid advancement and integration of Generative AI into various professional and educational settings necessitate new frameworks for human-AI collaboration and task allocation.
This framework provides a structured approach to integrating GenAI, potentially optimizing human workflows and skill development, which is crucial for maximizing productivity and addressing future labor market dynamics.
The explicit systematization of AI-human interaction through 'sub-zones' offers a clearer methodology for decision-making regarding GenAI utilization, moving beyond ad-hoc adoption.
- · Knowledge workers
- · Educational institutions
- · AI-powered collaboration platforms
- · Productivity software developers
- · Companies with rigid work structures
- · Task-oriented AI solutions lacking human-centric design
Increased efficiency in tasks where GenAI can substitute or aid human effort.
Reshaping of skill requirements for both workers and students, emphasizing metacognition and AI interaction.
Emergence of new educational curricula and professional training programs focused on advanced human-AI teaming.
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Read at arXiv cs.AI