Continuous Error Timing in Automation: The Peak-End Effect on Human-Automation Trust
Continuous Error Timing in Automation: The Peak-End Effect on Human-Automation Trust
复制标题
自动化中的连续错误计时：对人机信任的峰终效应
DOI：
10.1080/10447318.2023.2223954
复制
发表时间：
2023
期刊：
影响因子：
--
通讯作者：
Yue Qi
中科院分区：
文献类型：
--
作者：
Kexin Wang;Jianan Lu;Shuyi Ruan;Yue Qi
本研究开发了一个具有高生态效度的实验范式（CAPTCHA识别任务），以研究自动化系统中的连续错误及其发生时间如何影响人类对自动化的信任。连续的系统错误被操纵出现在四个时间条件：任务的早期阶段，中期阶段，后期阶段，或不显示。我们的研究发现，持续的错误会破坏对自动化系统的信任。更重要的是，即使系统的平均可靠性相同，整体信任度也会随着连续错误而显著下降。与无连续错误条件相比，后期连续错误条件下的人-自动化信任显著降低，表明自动化系统中的信任符合峰-端规则。因此，用户信任主要受系统可靠性的峰值和端值的影响。这项研究为可信的人工智能设计提供了新的建议。虽然系统错误无法彻底消除，但开发人员可以通过避免连续错误并防止它们在交互后期发生来最大限度地减少它们对人类自动化信任的影响。
This study developed an experimental paradigm (CAPTCHA recognition task) with high ecological validity to investigate how continuous errors in an automatic system and the timing of their occurrence affect human-automation trust. The continuous system errors were manipulated to appear at either of the four timing conditions: the early stage, middle stage, late stage of the task, or not showing. Our research found that continuous errors undermines trust in automated systems. More importantly, even with the same average system reliability, overall trust decreases significantly with continuous errors. Human-automation trust is significantly lower in the late continuous error condition compared to the no continuous error condition, indicating that trust in automated systems accords with the peak-end rule. Thus, user trust is mainly affected by the peak and end values of the system reliability. This study provides new suggestions for a trustworthy artificial intelligence design. Although system errors cannot be eliminated thoroughly, developers can minimize their impact on human-automation trust by avoiding continuous errors and preventing them from occurring during the late stage of interaction.