Human-AI Collaboration for Wearable Technology Component Standardization
Fuente:
arXiv
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| _version_ | 1866909683580665856 |
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| author | Lydner, Andrew M. |
| author_facet | Lydner, Andrew M. |
| contents | Due to the multidisciplinary nature of wearable technology, the industry faces potential limitations in innovation. The wearable technology industry is still in its infancy and increased applicable use faces stagnation despite the plethora of technologies that have been largely wrist worn. This could be a result of the lack of multidisciplinary expert knowledge disseminating through the industry. Unlike other technologies which have standardizations and processes for how they are developed, wearable technologies exist in a realm of perpetual change as given the various materials and subcomponents that continue to be developed. It is essential that expert opinions form a collaborative foundation, and even more so that intelligent systems foster that collaboration. The caveat though, is likeliness of these artificial intelligence (AI) collaboration tools to be utilized by industry experts. Mental model development for AI tool usage could be applied to wearable technology innovation in this regard, thus the goal of this paper and focus of research. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_15488 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Human-AI Collaboration for Wearable Technology Component Standardization Lydner, Andrew M. Human-Computer Interaction Due to the multidisciplinary nature of wearable technology, the industry faces potential limitations in innovation. The wearable technology industry is still in its infancy and increased applicable use faces stagnation despite the plethora of technologies that have been largely wrist worn. This could be a result of the lack of multidisciplinary expert knowledge disseminating through the industry. Unlike other technologies which have standardizations and processes for how they are developed, wearable technologies exist in a realm of perpetual change as given the various materials and subcomponents that continue to be developed. It is essential that expert opinions form a collaborative foundation, and even more so that intelligent systems foster that collaboration. The caveat though, is likeliness of these artificial intelligence (AI) collaboration tools to be utilized by industry experts. Mental model development for AI tool usage could be applied to wearable technology innovation in this regard, thus the goal of this paper and focus of research. |
| title | Human-AI Collaboration for Wearable Technology Component Standardization |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2503.15488 |