结构方程建模
技术接受模型
可用性
个性化
社会化媒体
Python(编程语言)
感知
计算机科学
算法
心理学
适度
社会心理学
万维网
机器学习
人机交互
神经科学
操作系统
标识
DOI:10.1016/j.actpsy.2025.105383
摘要
Algorithm awareness enhances perceived utility but also intensifies skepticism, underscoring the need for transparent, user-controllable recommendation systems to sustain engagement while preserving trust. Altogether, these insights offer useful direction for making recommendation systems more transparent and better tuned to user needs.
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