通过增加语音输出,增加对自动驾驶功能的拟人化和信任

Yannick Forster, Frederik Naujoks, A. Neukum
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引用次数: 63

摘要

有条件自动驾驶(CAD)功能需要仔细检查驾驶员的相关态度,如信任和可用性,以提高其在未来系统用户中的接受度。通过在现有的视听人机界面(HMI)中添加语音输出,由于语义信息和语音和性别等拟人化特征的应用,人们对自动化的信任程度被怀疑有所提高。为了测试这一假设,N = 17个驱动程序完成了两个模拟器驱动,一次有(“语音+通用”),一次没有额外的语音输出(“通用”)。在不同的场景中与自动系统进行交互(即,让系统执行机动与从车辆手中接管控制权),司机完成了关于信任、拟人化和可用性的比较问卷。自动化信任应用问卷是在借鉴前人对自动化信任研究的基础上构建而成的。结果显示,与“一般”系统相比,“语音+一般”系统在所有三个态度测量中都被评为优越。此外,本研究描述了全面检查车辆自动化信任的第一种方法。我们提出的证据表明,语音输出是高度相关的,以改善司机的态度,影响接受自动系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Increasing anthropomorphism and trust in automated driving functions by adding speech output
Conditionally Automated Driving (CAD) functions need to be carefully examined regarding related driver attitudes such as trust and usability to increase their acceptance among future system users. By adding speech output to an existing audio-visual Human-Machine Interface (HMI), the level of trust in automation was suspected to be increased due to semantic information and the application of anthropomorphic features such as voice and gender. To test this assumption, N = 17 drivers completed two simulator drives, once with ('Speech + generic') and once without additional speech output (‘Generic’). Having interacted with the automated system in different scenarios (i.e., letting the system execute a maneuver vs. taking over control from the vehicle), drivers completed comparative questionnaires on trust, anthropomorphism and usability. The applied questionnaire on trust in automation was structured after theoretical implications and derived from previous research on trust in automation. Results showed that the ‘Speech + generic’ system was rated as superior for all three attitude measures compared to the ‘Generic’ system. Furthermore, the present study describes a first approach on comprehensively examining trust in vehicle automation. We brought forth evidence that speech output is highly relevant in order to improve driver attitudes that affect acceptance of automated systems.
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