塑造植物状可变界面作为垂直图表：最大化可读性、美观和自然性
Shaping Plant-Like Shape-Changing Interfaces as Vertical Charts: Maximizing Readability, Aesthetics, and Naturalness
AI总结：
本文探讨了设计植物状垂直图表以提升可读性、美观和自然性，通过用户测试比较不同图表原型，发现物理图表在可持续性和自然性上有优势。
摘要：
传达环境数据的兴趣增加，以促进通过数据驱动策略采用环保生活方式。本研究通过设计探索方法，最大化可读性和美观性。通过比较四种图表原型，询问用户关于可再生能源预测场景的反馈，结果表明物理图表在可持续性和自然性上优于图形图表，并且在折叠形状编码速率时具有可安装性和低技术感知性。
英文摘要：
Conveying environmental data has grown interest in encouraging the adoption of eco-friendly lifestyles through data-driven strategies. This scope appeals to data visualizations representing the environmental purpose. For example, previous work has already proposed nature-inspired counters, gauges, and bitmaps, but data series remains to be explored. Therefore, could we design and implement effective plant-like charts? This paper brings answers through a research-through-design approach that explores a design space to maximize readability and aesthetics. It then compares four prototypes of charts over modality and material dimensions by asking users about scenarios involving renewable energy forecasts. The results examine whether implementing physical charts is worth it instead of graphical charts and the advantages of using meaningful materials that evocate sustainability and enhance naturalness. The results also reexamine, with physical charts, the previous results on graphical infographics of slightly lower clarity and readability but higher aesthetics of embellishment. In addition, learnability is examined for encoding rates through folded shapes. This paper shows that physical plant-like charts are worthwhile because of promising performance and best-of-breed naturalness when materials allow low-tech aspects' perception and because being installable in public places without explanations if folded shapes encode rates ranging from 0 to a maximum value.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
