Bidirectional Human-AI Learning in Real-Time Disoriented Balancing
Fuente:
arXiv
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| Autores principales: | , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Acceso en línea: | |
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| _version_ | 1866909419382505472 |
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| author | Mannan, Sheikh Krishnaswamy, Nikhil |
| author_facet | Mannan, Sheikh Krishnaswamy, Nikhil |
| contents | We present a real-time system that enables bidirectional human-AI learning and teaching in a balancing task that is a realistic analogue of disorientation during piloting and spaceflight. A human subject and autonomous AI model of choice guide each other in maintaining balance using a visual inverted pendulum (VIP) display. We show how AI assistance changes human performance and vice versa. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_05802 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Bidirectional Human-AI Learning in Real-Time Disoriented Balancing Mannan, Sheikh Krishnaswamy, Nikhil Human-Computer Interaction We present a real-time system that enables bidirectional human-AI learning and teaching in a balancing task that is a realistic analogue of disorientation during piloting and spaceflight. A human subject and autonomous AI model of choice guide each other in maintaining balance using a visual inverted pendulum (VIP) display. We show how AI assistance changes human performance and vice versa. |
| title | Bidirectional Human-AI Learning in Real-Time Disoriented Balancing |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2412.05802 |