思想与机器之间:在语言学习中对人类和聊天机器人的交互进行神经认知比较
Gamze Turun Ozel1, Semin Kazazoglu1, Burcak Yavuz2
1Yıldız Technical University, Faculty of Education, Department of Foreign Languages, English Language Education, İstanbul, Turkey.
Computers in biology and medicine
|January 21, 2026
概括
人类交互 (HHI) 比人-聊天机器人交互 (HCI) 更深入地参与大脑,在语言和社会认知领域显示出更大的神经激活. 这突出了沟通期间认知处理的关键差异.
科学领域:
- 神经科学是一个神经科学.
- 认知科学 认知科学
- 人与计算机的交互
背景情况:
- 技术介导的沟通,包括人-聊天机器人交互 (HCI),越来越普遍.
- 与传统的人与人互动 (HHI) 相比,了解HCI的神经认知基础对于优化通信技术至关重要.
研究的目的:
- 在英语任务中调查HHI和HCI之间的神经认知差异.
- 分析脑电图 (EEG) 数据,以确定大脑活动的不同模式.
主要方法:
- 在HHI和HCI条件下从事英语任务的参与者.
- 使用脑电图 (EEG) 来记录神经活动.
- 分析了区域激活和特定频段功率 (三角形,α,β) 的EEG数据.
主要成果:
- 人与人之间的交互 (HHI) 引发了显著更大的神经激活,特别是在与语言和社会认知相关的左前额 (F3) 和时 (F7,T3) 区域.
- F3部位显示了HHI和HCI之间神经激活的最明显的差异.
- 脑电图分析显示,在HCI期间,delta活性较高 (表明兴奋程度较低),而HHI在多个大脑区域中显示出更大的alpha和beta功率 (反映了增强的认知处理和情绪突出).
结论:
- 自然的人类互动导致了比与聊天机器人的沟通更深刻和更广泛的神经参与.
- 这些发现强调了技术介导的语言使用的独特的认知和情感维度.
- 该研究为通信技术的教育和社会应用提供了宝贵的见解.
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