In this work, we research user preferences to see a chart, table, or text given a question asked by the user. This enables us to understand when it is best to show a chart, table, or text to the user for the specific question. For this, we conduct a user study where users are shown a question and asked what they would prefer to see and used the data to establish that a user's personal traits does influence the data outputs that they prefer. Understanding how user characteristics impact a user's preferences is critical to creating data tools with a better user experience. Additionally, we investigate to what degree an LLM can be used to replicate a user's preference with and without user preference data. Overall, these findings have significant implications pertaining to the development of data tools and the replication of human preferences using LLMs. Furthermore, this work demonstrates the potential use of LLMs to replicate user preference data which has major implications for future user modeling and personalization research.

本研究针对用户在特定问题下对图表、表格或文本的偏好进行了分析，揭示了用户个体特征对数据输出偏好的影响。通过用户研究，我们发现理解用户特征对偏好的影响对于提升数据工具的用户体验至关重要。此外，我们探讨了大型语言模型（LLM）在复制用户偏好方面的潜力，这对未来的用户建模和个性化研究具有重要意义。

优化数据传递：用户对图表、表格和文本的偏好洞察