Design Exploration of AI-Assisted Personal Affective Physicalization.

IF 1.4 4区计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING

IEEE Computer Graphics and Applications Pub Date : 2025-09-26 DOI:10.1109/MCG.2025.3614686

Ruishan Wu, Zhuoyang Li, Charles Perin, Sheelagh Carpendale, Can Liu

引用次数: 0

Abstract

Personal Affective Physicalization is the process by which individuals express emotions through tangible forms to record, reflect on, and communicate. Yet such physical data representations can be challenging to design due to the abstract nature of emotions. Given the shown potential of AI in detecting emotion and assisting design, we explore opportunities in AI-assisted design of personal affective physicalization using a Research-through-Design method. We developed PhEmotion, a tool for embedding LLM-extracted emotion values from human-AI conversations into parametric design of physical artifacts. A lab study was conducted with 14 participants creating these artifacts based on their personal emotions, with and without AI support. We observed nuances and variations in participants' creative strategies, meaning-making processes and their perceptions of AI support in this context. We found key tensions in AI-human co-creation that provide a nuanced agenda for future research in AI-assisted personal affective physicalization.

查看原文本刊更多论文

人工智能辅助个人情感物质化的设计探索。

个人情感物质化是个体通过记录、反思和交流的有形形式表达情感的过程。然而，由于情感的抽象性，这种物理数据表示的设计可能具有挑战性。鉴于人工智能在检测情感和辅助设计方面的潜力，我们探索了使用通过设计的研究方法在人工智能辅助设计中个人情感物化的机会。我们开发了PhEmotion，这是一种工具，用于将llm从人类与人工智能对话中提取的情感值嵌入到物理工件的参数化设计中。在一项实验室研究中，14名参与者根据他们的个人情绪，在有或没有人工智能支持的情况下创造了这些人工制品。在这种情况下，我们观察到参与者的创造性策略、意义制造过程和他们对人工智能支持的看法的细微差别和变化。我们发现了人工智能与人类共同创造中的关键紧张关系，这为人工智能辅助的个人情感物质化的未来研究提供了一个微妙的议程。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

IEEE Computer Graphics and Applications 工程技术-计算机：软件工程

CiteScore

3.20

自引率

5.60%

发文量

160

审稿时长

>12 weeks

期刊介绍： IEEE Computer Graphics and Applications (CG&A) bridges the theory and practice of computer graphics, visualization, virtual and augmented reality, and HCI. From specific algorithms to full system implementations, CG&A offers a unique combination of peer-reviewed feature articles and informal departments. Theme issues guest edited by leading researchers in their fields track the latest developments and trends in computer-generated graphical content, while tutorials and surveys provide a broad overview of interesting and timely topics. Regular departments further explore the core areas of graphics as well as extend into topics such as usability, education, history, and opinion. Each issue, the story of our cover focuses on creative applications of the technology by an artist or designer. Published six times a year, CG&A is indispensable reading for people working at the leading edge of computer-generated graphics technology and its applications in everything from business to the arts.