"You don't need a university degree to comprehend data protection this way": LLM-Powered Interactive Privacy Policy Assessment
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | , , |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
| _version_ | 1866916644437098496 |
|---|---|
| author | Freiberger, Vincent Fleig, Arthur Buchmann, Erik |
| author_facet | Freiberger, Vincent Fleig, Arthur Buchmann, Erik |
| contents | Protecting online privacy requires users to engage with and comprehend website privacy policies, but many policies are difficult and tedious to read. We present the first qualitative user study on Large Language Model (LLM)-driven privacy policy assessment. To this end, we build and evaluate an LLM-based privacy policy assessment browser extension, which helps users understand the essence of a lengthy, complex privacy policy while browsing. The tool integrates a dashboard and an LLM chat. In our qualitative user study (N=22), we evaluate usability, understandability of the information our tool provides, and its impacts on awareness. While providing a comprehensible quick overview and a chat for in-depth discussion improves privacy awareness, users note issues with building trust in the tool. From our insights, we derive important design implications to guide future policy analysis tools. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_03587 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | "You don't need a university degree to comprehend data protection this way": LLM-Powered Interactive Privacy Policy Assessment Freiberger, Vincent Fleig, Arthur Buchmann, Erik Human-Computer Interaction Protecting online privacy requires users to engage with and comprehend website privacy policies, but many policies are difficult and tedious to read. We present the first qualitative user study on Large Language Model (LLM)-driven privacy policy assessment. To this end, we build and evaluate an LLM-based privacy policy assessment browser extension, which helps users understand the essence of a lengthy, complex privacy policy while browsing. The tool integrates a dashboard and an LLM chat. In our qualitative user study (N=22), we evaluate usability, understandability of the information our tool provides, and its impacts on awareness. While providing a comprehensible quick overview and a chat for in-depth discussion improves privacy awareness, users note issues with building trust in the tool. From our insights, we derive important design implications to guide future policy analysis tools. |
| title | "You don't need a university degree to comprehend data protection this way": LLM-Powered Interactive Privacy Policy Assessment |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2503.03587 |