敌对推论:注意力经济中的预测性思维
1Center for Subjectivity Research, Department of Communication, University of Copenhagen, Karen Blixens Plads 8, Copenhagen 2300, Denmark.
Neuroscience of consciousness
|August 28, 2023
概括
数字技术的挑战来自于易于访问的行动,而不仅仅是信息过载. 积极推断模型解释了持续的新性和轻松的导航如何破坏用户的注意力和动机.
科学领域:
- 认知科学 认知科学
- 人与计算机的交互
- 神经科学是一个神经科学.
背景情况:
- 主导的"注意力经济"叙述将用户的分心归因于信息丰富.
- 这种观点不充分地解释了与数字信息来源互动的突然,不经意间的冲动.
- 现有的模型未能捕捉到数字环境中动机和控制之间的微妙相互作用.
研究的目的:
- 挑战信息丰富理论的分散在数字技术的使用.
- 提出使用主动推理对用户注意力困难的替代解释.
- 确定有助于用户分心和动机转移的特定技术特征.
主要方法:
- 利用主动推断和预期的自由能量最小化模型进行行动选择.
- 分析了数字技术的结构特征,包括新性,导航方便性和上下文独立性.
- 纳入了动机控制的最新模型,以解释动机状态的动态变化.
主要成果:
- 仅仅信息丰富并不能完全解释用户的分心或突然的参与冲动.
- 积极推断识别出有问题的技术特征:无限的新性,简单的机动导航和无处不在的访问.
- 动机控制模型解释了动机和行动突出性的突然变化,导致分心.
结论:
- 使用数字技术处理重要事项的困难主要是由于不断可用的轻松行动.
- 数字接口的设计,提供无处不在和简单的交互路径,显著影响用户的注意力和控制.
- 未来的研究应该集中在技术设计,动机控制和积极推断的相互作用上,以了解用户参与.
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