功能可见性
能见度
人道主义援助
知识管理
领域(数学)
信息交流
计算机科学
业务
信息集成
创新的传播
覆盖
营销
信息系统
人道主义后勤
实地调查
事务性记忆
信息处理
信息缺口
信息技术
过程管理
信息和通信技术
灾害应对
信息处理理论
探索性研究
公共关系
人机交互
作者
Shizhen Bai,Jiamin Zhou,Chunjia Han,Yang Mu,Chen Wang,Brij B. Gupta
标识
DOI:10.1016/j.techfore.2025.124501
摘要
The advancement in AI usage and technological capabilities has provided greater convenience in the diffusion of information within humanitarian aid operations, offering aid workers expanded operational possibilities and improving the efficiency of response. Consequently, experts in the field suggest that integrating AI and HI represents the next major development in humanitarian aid. Unfortunately, there is currently a lack of research exploring the integration of AI within communication platforms as an information hub, leaving a gap for both aid workers and scholars. To address this gap, this study, based on the concept of perceived affordances and combined with affordance theory, investigates the interaction and overlay of AI and communication platforms. We conducted three studies in an online environment using real disaster relief videos and simulated communication platforms. Our findings indicate that the integration of AI (vs. Without AI) in communication platforms functioning as information hubs enhances perceived affordances. Specifically, AI improves perceived visibility and perceived editability, which in turn increases aid workers' willingness to exchange information and use the platform. Moreover, the facilitating effect of AI integration is less constrained by the actual level of affordances. Additionally, time pressure moderates these effects. Our study contributes to the field of humanitarian aid. • Examines the impact of AI-HI integration in humanitarian aid communication platforms on user willingness. • Investigates the role of AI in enhancing perceived affordance, including perceived visibility and perceived editability. • Finds that AI’s facilitating effect is less constrained by the actual level of affordances. • Analyzes the impact of time pressure on AI in humanitarian aid operations using the Conservation of Resources theory.
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