Lv Dong, Sun Rui, Zhu Qiuhua, Zuo Jiajia, Qin Shukun, Cheng Yue
School of Business Administration, Huaqiao University, Quanzhou 362021, China.
Eastern Enterprise Management Research Center, Huaqiao University, Quanzhou 362021, China.
Brain Sci. 2024 Oct 17;14(10):1032. doi: 10.3390/brainsci14101032.
With the rapid expansion of the generative AI market, conducting in-depth research on cognitive conflicts in human-computer interaction is crucial for optimizing user experience and improving the quality of interactions with AI systems. However, existing studies insufficiently explore the role of user cognitive conflicts and the explanation of stance attribution in the design of human-computer interactions.
This research, grounded in mental models theory and employing an improved version of the oddball paradigm, utilizes Event-Related Spectral Perturbations (ERSP) and functional connectivity analysis to reveal how task types and stance attribution explanations in generative AI influence users' unconscious cognitive processing mechanisms during service failures.
The results indicate that under design stance explanations, the ERSP and Phase Locking Value (PLV) in the theta frequency band were significantly lower for emotional task failures than mechanical task failures. In the case of emotional task failures, the ERSP and PLV in the theta frequency band induced by intentional stance explanations were significantly higher than those induced by design stance explanations.
This study found that stance attribution explanations profoundly affect users' mental models of AI, which determine their responses to service failure.
随着生成式人工智能市场的迅速扩张，深入研究人机交互中的认知冲突对于优化用户体验和提高与人工智能系统的交互质量至关重要。然而，现有研究对用户认知冲突的作用以及人机交互设计中立场归因的解释探讨不足。
本研究以心智模型理论为基础，采用改进版的oddball范式，利用事件相关谱扰动（ERSP）和功能连接分析，揭示生成式人工智能中的任务类型和立场归因解释如何在服务失败期间影响用户的无意识认知加工机制。
结果表明，在设计立场解释下，情感任务失败时θ频段的ERSP和锁相值（PLV）显著低于机械任务失败时。在情感任务失败的情况下，有意立场解释诱发的θ频段的ERSP和PLV显著高于设计立场解释诱发的。
本研究发现立场归因解释深刻影响用户对人工智能的心智模型，而心智模型决定了他们对服务失败的反应。
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