The Metacognitive Demands and Opportunities of Generative AI
Fuente:
arXiv
Gespeichert in:
| Hauptverfasser: | , , , , , , |
|---|---|
| Format: | Preprint |
| Veröffentlicht: |
2023
|
| Schlagworte: | |
| Online-Zugang: | |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| _version_ | 1866929410064515072 |
|---|---|
| author | Tankelevitch, Lev Kewenig, Viktor Simkute, Auste Scott, Ava Elizabeth Sarkar, Advait Sellen, Abigail Rintel, Sean |
| author_facet | Tankelevitch, Lev Kewenig, Viktor Simkute, Auste Scott, Ava Elizabeth Sarkar, Advait Sellen, Abigail Rintel, Sean |
| contents | Generative AI (GenAI) systems offer unprecedented opportunities for transforming professional and personal work, yet present challenges around prompting, evaluating and relying on outputs, and optimizing workflows. We argue that metacognition$\unicode{x2013}$the psychological ability to monitor and control one's thoughts and behavior$\unicode{x2013}$offers a valuable lens to understand and design for these usability challenges. Drawing on research in psychology and cognitive science, and recent GenAI user studies, we illustrate how GenAI systems impose metacognitive demands on users, requiring a high degree of metacognitive monitoring and control. We propose these demands could be addressed by integrating metacognitive support strategies into GenAI systems, and by designing GenAI systems to reduce their metacognitive demand by targeting explainability and customizability. Metacognition offers a coherent framework for understanding the usability challenges posed by GenAI, and provides novel research and design directions to advance human-AI interaction. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2312_10893 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | The Metacognitive Demands and Opportunities of Generative AI Tankelevitch, Lev Kewenig, Viktor Simkute, Auste Scott, Ava Elizabeth Sarkar, Advait Sellen, Abigail Rintel, Sean Human-Computer Interaction Generative AI (GenAI) systems offer unprecedented opportunities for transforming professional and personal work, yet present challenges around prompting, evaluating and relying on outputs, and optimizing workflows. We argue that metacognition$\unicode{x2013}$the psychological ability to monitor and control one's thoughts and behavior$\unicode{x2013}$offers a valuable lens to understand and design for these usability challenges. Drawing on research in psychology and cognitive science, and recent GenAI user studies, we illustrate how GenAI systems impose metacognitive demands on users, requiring a high degree of metacognitive monitoring and control. We propose these demands could be addressed by integrating metacognitive support strategies into GenAI systems, and by designing GenAI systems to reduce their metacognitive demand by targeting explainability and customizability. Metacognition offers a coherent framework for understanding the usability challenges posed by GenAI, and provides novel research and design directions to advance human-AI interaction. |
| title | The Metacognitive Demands and Opportunities of Generative AI |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2312.10893 |