[论文解读] From Performers to Creators: Understanding Retired Women's Perceptions of Technology-Enhanced Dance Performance

Danlin Zheng, Xiaoying Wei+5 more|arXiv (Cornell University)|Jan 31, 2026

Social Robot Interaction and HRI被引用 0

一句话总结

简述：本研究为退休中国女性设计了适龄互动舞蹈工具，通过基于大型语言模型的场景生成和AI视频合成实现舞台视觉的共创，并通过两场工作坊进行验证。

ABSTRACT

Over 100 million retired women in China engage in dance, but their performances are constrained by limited resources and age-related decline. While interactive dance technologies can enhance artistic expression, existing systems are largely inaccessible to non-professional older dancers. This paper explores how interactive dance technologies can be designed with an age-sensitive approach to support retired women in enhancing their stage performance. We conducted two workshops with community-based retired women dancers, employing interactive dance and LLM-powered video generation probes in co-design activities. Findings indicate that age-sensitive adaptations, such as low-barrier keyword input, motion-aligned visual effects, and participatory scaffolds, lowered technical barriers and fostered a sense of authorship. These features enabled retired women to empower their stage, transitioning from passive recipients of stage design to empowered co-creators of performance. We outline design implications for incorporating interactive dance and artificial intelligence-generated content (AIGC) into the cultural practices of retired women, offering broader strategies for age-sensitive creative technologies.

研究动机与目标

• 设计可访问、适龄的技术，以帮助退休女性从被动参与者转变为舞台表演的共创者。
• 探究如何将互动舞蹈技术适配以应对这一人群的资源约束和年龄相关变化。
• 检视AI生成内容与对话式界面如何影响社区舞蹈中的创造性自主与协作。
• 开发和评估 StageTailor 系统，该系统整合基于LLM的场景生成、AI视频合成背景，以及实时动作捕捉特效。

提出的方法

• 以退休女性舞者为对象进行两场工作坊（工作坊I：15名参与者；工作坊II：16名参与者），使用共创探针与 StageTailor。
• 基于文献综述整理的互动舞蹈类型分类学进行共创活动。
• StageTailor 结合大型语言模型进行场景生成、AI视频合成用于背景、以及动作捕捉用于实时特效。
• 通过问卷、访谈、观察和半结构化焦点小组收集数据，采用反思性主题分析进行分析。
• 对年龄敏感的改编和参与性支架进行迭代设计与评估（如低门槛的关键词输入、与动作对齐的视效等）。

Figure 1 . (a) A traditional stage setup for retired women’s dance performances, using generic, static backdrops.(b) Our probe in workshop II, StageTailor, enables dynamic co-creation: artificial intelligence (AI) generates semantically aligned backgrounds from keywords, while motion-triggered effec

实验结果

研究问题

• RQ1 RQ1：如何在资源约束和年龄因素的情境下，以适龄方式设计互动舞蹈技术，帮助退休女性提升舞台表现。
• RQ2 RQ2：如何将AIGC与LLM驱动的输入整合进互动舞蹈系统，以降低技术门槛并提升退休女性的创造性参与？

主要发现

• 适龄改编如低门槛关键词输入和动作对齐的视觉效果降低了认知障碍并促进了创作自主。
• 参与者对AI生成的输出反应积极，但希望对时间、情感和风格等细微之处有更丰富的控制。
• 互动视觉效果获得热烈反响，但参与者希望实现更好的情境整合和与叙事的一致风格。
• 总体而言，共创体验被积极感知，使参与者从被动消费者转变为更有主人翁感的共创者，拥有更强的归属感。
• 研究结果支持一个设计框架——适龄创意AI调解，用于在舞台表演中将审美控制权重新分配给年长者。

Figure 2 . Procedure of the Workshop I with 15 participants divided into four groups (3-4 participants per group) to understand retired women’s perspectives on current stage performances and interactive dance. The study followed a four-phase structure: (i) a preliminary questionnaire and background