A Neuro-inspired Theory of Joint Human-Swarm Interaction
Fuente:
arXiv
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| Autori principali: | , |
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| Natura: | Preprint |
| Pubblicazione: |
2020
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| Accesso online: | |
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| _version_ | 1866914174115774464 |
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| author | Hasbach, Jonas D. Bennewitz, Maren |
| author_facet | Hasbach, Jonas D. Bennewitz, Maren |
| contents | Human-swarm interaction (HSI) is an active research challenge in the realms of swarm robotics and human-factors engineering. Here we apply a cognitive systems engineering perspective and introduce a neuro-inspired joint systems theory of HSI. The mindset defines predictions for adaptive, robust and scalable HSI dynamics and therefore has the potential to inform human-swarm loop design. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2007_04882 |
| institution | arXiv |
| publishDate | 2020 |
| record_format | arxiv |
| spellingShingle | A Neuro-inspired Theory of Joint Human-Swarm Interaction Hasbach, Jonas D. Bennewitz, Maren Human-Computer Interaction Multiagent Systems Neural and Evolutionary Computing Robotics H.1.2; I.2.9 Human-swarm interaction (HSI) is an active research challenge in the realms of swarm robotics and human-factors engineering. Here we apply a cognitive systems engineering perspective and introduce a neuro-inspired joint systems theory of HSI. The mindset defines predictions for adaptive, robust and scalable HSI dynamics and therefore has the potential to inform human-swarm loop design. |
| title | A Neuro-inspired Theory of Joint Human-Swarm Interaction |
| topic | Human-Computer Interaction Multiagent Systems Neural and Evolutionary Computing Robotics H.1.2; I.2.9 |
| url | https://arxiv.org/abs/2007.04882 |