Automating the Path: An R&D Agenda for Human-Centered AI and Visualization
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arXiv
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| Auteurs principaux: | , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866911269302304768 |
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| author | Elmqvist, Niklas Klokmose, Clemens Nylandsted |
| author_facet | Elmqvist, Niklas Klokmose, Clemens Nylandsted |
| contents | The emergence of generative AI, large language models (LLMs), and foundation models is fundamentally reshaping computer science, and visualization and visual analytics are no exception. We present a systematic framework for understanding how human-centered AI (HCAI) can transform the visualization discipline. Our framework maps four key HCAI tool capabilities -- amplify, augment, empower, and enhance -- onto the four phases of visual sensemaking: view, explore, schematize, and report. For each combination, we review existing tools, envision future possibilities, identify challenges and pitfalls, and examine ethical considerations. This design space can serve as an R\&D agenda for both visualization researchers and practitioners to integrate AI into their work as well as understanding how visualization can support HCAI research. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_07529 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Automating the Path: An R&D Agenda for Human-Centered AI and Visualization Elmqvist, Niklas Klokmose, Clemens Nylandsted Human-Computer Interaction H.5.2 The emergence of generative AI, large language models (LLMs), and foundation models is fundamentally reshaping computer science, and visualization and visual analytics are no exception. We present a systematic framework for understanding how human-centered AI (HCAI) can transform the visualization discipline. Our framework maps four key HCAI tool capabilities -- amplify, augment, empower, and enhance -- onto the four phases of visual sensemaking: view, explore, schematize, and report. For each combination, we review existing tools, envision future possibilities, identify challenges and pitfalls, and examine ethical considerations. This design space can serve as an R\&D agenda for both visualization researchers and practitioners to integrate AI into their work as well as understanding how visualization can support HCAI research. |
| title | Automating the Path: An R&D Agenda for Human-Centered AI and Visualization |
| topic | Human-Computer Interaction H.5.2 |
| url | https://arxiv.org/abs/2504.07529 |