Intentional or Designed? The Impact of Stance Attribution on Cognitive Processing of Generative AI Service Failures.

IF 2.7 3区医学 Q3 NEUROSCIENCES Brain Sciences Pub Date : 2024-10-17 DOI:10.3390/brainsci14101032

Dong Lv, Rui Sun, Qiuhua Zhu, Jiajia Zuo, Shukun Qin, Yue Cheng

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引用次数: 0

Abstract

Background: 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.

Methods: 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.

Results: 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.

Conclusions: This study found that stance attribution explanations profoundly affect users' mental models of AI, which determine their responses to service failure.

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故意还是设计？姿态归因对生成式人工智能服务失败认知处理的影响。

背景：随着生成式人工智能市场的迅速扩大，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人工智能系统的交互质量至关重要。然而，现有研究对人机交互设计中用户认知冲突的作用和立场归因的解释探索不足：本研究以心理模型理论为基础，采用改进版的奇数范式，利用事件相关频谱扰动（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影响用户在服务失败时的无意识认知处理机制：结果表明，在设计姿态解释下，情感任务失败时θ频段的ERSP和锁相值（PLV）明显低于机械任务失败时的ERSP和锁相值。在情感任务失败的情况下，有意姿态解释所诱发的ERSP和PLV在θ频段上明显高于设计姿态解释所诱发的ERSP和PLV：本研究发现，立场归因解释会深刻影响用户的人工智能心理模型，从而决定他们对服务失败的反应。

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来源期刊

Brain Sciences Neuroscience-General Neuroscience

CiteScore

4.80

自引率

9.10%

发文量

1472

审稿时长

18.71 days

期刊介绍： Brain Sciences (ISSN 2076-3425) is a peer-reviewed scientific journal that publishes original articles, critical reviews, research notes and short communications in the areas of cognitive neuroscience, developmental neuroscience, molecular and cellular neuroscience, neural engineering, neuroimaging, neurolinguistics, neuropathy, systems neuroscience, and theoretical and computational neuroscience. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced. Electronic files or software regarding the full details of the calculation and experimental procedure, if unable to be published in a normal way, can be deposited as supplementary material.