AI 中文总结
本研究通过对24名参与者的真实世界数据捐赠实验，发现不同情感框架显著影响捐赠结果，其中个体-集体视角效果最佳，为数据捐赠界面设计提供了见解。
AI 中文摘要
本研究探讨不同框架方法如何影响数据捐赠决策的情感层面。尽管框架效应在慈善捐赠中已得到充分研究，但情感框架如何塑造数据捐赠，尤其是通过数据可视化实现的相关机制，仍鲜为人知。基于情感在决策中功能的理论框架，我们考察三种不同框架方法——个体捐赠者视角（A组）、个体-集体视角（B组）、集体-机构视角（C组）——如何影响参与者的情感体验及后续捐赠决策。通过一项真实世界数据捐赠研究（N=24），我们发现框架设计显著影响捐赠结果，其中个体-集体视角产生最积极的反应。我们的分析表明，情感可在决策过程中作为信息、动机及聚焦点，为设计更具信息性的数据捐赠界面与沟通方式提供见解。本研究有助于理解数据捐赠情境中框架设计、情感反应与决策结果之间的复杂相互作用。
英文摘要
This study investigates how different framing approaches influence the affective aspects of data donation decision-making. Although framing effects are well studied in charitable giving, how affective framing shapes data donation, especially through data visualization, remains poorly understood. Using a theoretical framework based on the functions of affect in decision-making, we examine how three distinct framing approaches, an individual-donor lens (Group A), an individual-collective lens (Group B), and a collective-institutional lens (Group C), shape participants' affective experiences and subsequent donation decisions. Through a real-world data donation study (N=24), we found that framing designs substantially influenced donation outcomes, with the individual-collective lens generating the most favorable responses. Our analysis illustrates how affect can functions as information, motivation, and as a spotlight during the decision-making process, providing insights for designing more informed data donation interfaces and communications. This research contributes to understanding the complex interplay between framing designs, affective responses, and decision outcomes in data donation contexts.
Comments10 pages, 2 figures, and a 10-page Supplementary Material
Journal refProceedings of the 2026 International Conference on Affective Computing and Intelligent Interaction (ACII)
