Core Concepts
GenAI systems impose high metacognitive demands on users, requiring self-awareness, task decomposition, confidence adjustment, and metacognitive flexibility.
Abstract
Generative AI systems offer transformative potential but also pose challenges in prompting, evaluating outputs, and automation strategy. Users must exhibit metacognitive abilities to interact effectively with GenAI. The extensiveness of output and non-intuitive failure modes complicate evaluation.
Stats
GenAI systems offer unprecedented opportunities for transforming professional and personal work.
Recent user studies reveal challenges around prompting, evaluating outputs, and deciding on automation strategies.
Metacognition offers a valuable lens to understand usability challenges posed by GenAI.
Users need self-awareness, task decomposition skills, confidence adjustment, and metacognitive flexibility to interact effectively with GenAI.
Metacognition research can help improve users' ability to prompt GenAI systems effectively.
Integrating metacognitive support strategies into GenAI systems can address the demands imposed on users.
Designing task-appropriate approaches to explainability and customizability can reduce the metacognitive demand of GenAI systems.