赋予数据生命：面向情感自我的数据角色设计
Bringing Data to Life: Designing Data Characters for the Emotional Self
- University of Maryland, College Park（马里兰大学帕克分校）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
针对传统日记情感分析可视化难以传递情感细微差别的问题，提出Data Characters方法，用类人角色可视化日记情感，初步验证了方法的直观性与可行性。
AI中文摘要：
写日记是一种常见的情感表达、反思与处理的实践。然而，随着日记条目不断累积，解读和比较其中的情感内容会变得困难，尤其是传统的基于文本的分析与可视化方法往往难以传递情感的细微差别。我们提出了Data Characters（数据角色），一种通过类人角色来表示日记中情感内容的可视化方法。利用可定制的Data Characters作为设计探针，我们研究了基于角色的表示方式传递情感体验的潜力，并探索了通过定制形成的视觉编码。对两名参与者的初步演示表明该方法具有直观性和可行性。本研究为探索如何通过拟人化形式对情感体验进行视觉表示与编码提供了一种探索性方法。
英文摘要：
Journaling is a common practice for emotional expression, reflection, and processing. However, as entries accumulate, it can become difficult to interpret and compare their affective content, especially since traditional text-based analyses and visualizations often struggle to convey affective nuance. We introduce Data Characters, a visualization approach that represents affective content in journaling through human-like characters. Using a customizable Data Character as a design probe, we investigate the potential of character-based representations for conveying affective experiences and explore what visual encodings emerge through customization. Preliminary walkthroughs with two participants demonstrate the intuitiveness and feasibility of the approach. This work contributes an exploratory approach to studying how affective experiences can be visually represented and encoded through anthropomorphic forms.
