Unlocking Adaptive User Experience with Generative AI
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arXiv
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| Auteurs principaux: | , , , , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866911830587211776 |
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| author | Huang, Yutan Kanij, Tanjila Madugalla, Anuradha Mahajan, Shruti Arora, Chetan Grundy, John |
| author_facet | Huang, Yutan Kanij, Tanjila Madugalla, Anuradha Mahajan, Shruti Arora, Chetan Grundy, John |
| contents | Developing user-centred applications that address diverse user needs requires rigorous user research. This is time, effort and cost-consuming. With the recent rise of generative AI techniques based on Large Language Models (LLMs), there is a possibility that these powerful tools can be used to develop adaptive interfaces. This paper presents a novel approach to develop user personas and adaptive interface candidates for a specific domain using ChatGPT. We develop user personas and adaptive interfaces using both ChatGPT and a traditional manual process and compare these outcomes. To obtain data for the personas we collected data from 37 survey participants and 4 interviews in collaboration with a not-for-profit organisation. The comparison of ChatGPT generated content and manual content indicates promising results that encourage using LLMs in the adaptive interfaces design process. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_05442 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Unlocking Adaptive User Experience with Generative AI Huang, Yutan Kanij, Tanjila Madugalla, Anuradha Mahajan, Shruti Arora, Chetan Grundy, John Human-Computer Interaction Software Engineering Developing user-centred applications that address diverse user needs requires rigorous user research. This is time, effort and cost-consuming. With the recent rise of generative AI techniques based on Large Language Models (LLMs), there is a possibility that these powerful tools can be used to develop adaptive interfaces. This paper presents a novel approach to develop user personas and adaptive interface candidates for a specific domain using ChatGPT. We develop user personas and adaptive interfaces using both ChatGPT and a traditional manual process and compare these outcomes. To obtain data for the personas we collected data from 37 survey participants and 4 interviews in collaboration with a not-for-profit organisation. The comparison of ChatGPT generated content and manual content indicates promising results that encourage using LLMs in the adaptive interfaces design process. |
| title | Unlocking Adaptive User Experience with Generative AI |
| topic | Human-Computer Interaction Software Engineering |
| url | https://arxiv.org/abs/2404.05442 |