What type of intelligent cockpit can help more in traffic accident scenarios? Considering the effects of gender and anthropomorphism in voice interface, and their interaction with text length

IF 4.4 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour Pub Date : 2025-08-05 DOI:10.1016/j.trf.2025.07.037

Jinjin Mo , Jingjing Chen , Tianjiao Shi , Zhe Chen

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引用次数: 0

Abstract

The increasing automation of vehicles has reduced traffic accidents. However, accidents cannot be entirely eliminated, so postaccident assistance is critical for minimizing casualties. Voice interaction with intelligent cockpits (ICs) can offer crucial emergency support. Limited research has focused on the design of ICs for traffic accident scenarios, particularly concerning voice features and linguistic content. In accident scenarios, this study investigated the effects of gender (female, male), anthropomorphism (human-like, machine-like) in the voice interface of IC on comprehension performance (comprehensibility, intelligibility), user experience (persuasion, trust, attractiveness, usefulness, acoustics quality and calmness), and their interaction with text length (short, medium, long). A driving simulator experiment with a three-factor repeated measures design revealed that ICs with female voice interfaces significantly enhanced comprehension performance (comprehensibility increased 5.3%, intelligibility increased 4.7%) and user experience (increases across dimensions: 3.1–8.1%). ICs with human-like voice interfaces significantly enhanced comprehension performance (comprehensibility increased 7.6%, intelligibility increased 3.8%) and user experience (increases across dimensions: 6.0–16.3%). ICs with short text significantly enhanced comprehension performance (comprehensibility increased 14.7%, intelligibility increased 36.5%) and user experience (increases across dimensions: 4.7–8.7%). Additionally, interaction effects were observed. ICs with female voice interfaces mitigated the negative impact of increased text length, whereas ICs with male voice interfaces amplified it. ICs with human-like voice interfaces performed better in short text, although this advantage diminished with longer text. The findings suggest prioritizing ICs with female and human-like voice interfaces and optimizing the match between voice features and text length. The design implications of ICs for accident scenarios are discussed.

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哪种类型的智能驾驶舱在交通事故场景中更有帮助？考虑语音界面中性别和拟人化的影响，以及它们与文本长度的交互作用

车辆自动化程度的提高减少了交通事故。然而，事故不可能完全消除，因此事故后援助对于尽量减少伤亡至关重要。与智能驾驶舱（ic）的语音交互可以提供关键的应急支持。有限的研究集中在交通事故场景的集成电路设计上，特别是关于语音特征和语言内容。在事故场景下，本研究考察了IC语音界面中性别（女性、男性）、拟人化（类人、类机器）对理解性能（可理解性、可理解性）、用户体验（说服、信任、吸引力、有用性、音质、冷静）的影响，以及它们与文本长度（短、中、长）的交互作用。一项采用三因素重复测量设计的驾驶模拟器实验显示，带有女性语音接口的集成电路显著提高了理解性能（可理解性提高了5.3%，可理解性提高了4.7%）和用户体验（跨维度提高了3.1-8.1%）。具有类人语音界面的集成电路显著提高了理解性能（可理解性提高了7.6%，可理解性提高了3.8%）和用户体验（跨维度提高了6.0-16.3%）。短文本集成电路显著提高了理解性能（可理解性提高14.7%，可理解性提高36.5%）和用户体验（跨维度提高：4.7-8.7%）。此外，还观察到相互作用效应。带有女性语音接口的ic减轻了文本长度增加的负面影响，而带有男性语音接口的ic则放大了它。具有类似人类语音界面的ic在短文本中表现更好，尽管这种优势在长文本中减弱。研究结果建议优先使用女性和人类语音界面的集成电路，并优化语音特征和文本长度之间的匹配。讨论了事故场景下集成电路的设计含义。

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来源期刊

Transportation Research Part F-Traffic Psychology and Behaviour Multiple-

CiteScore

7.60

自引率

14.60%

发文量

239

审稿时长

71 days

期刊介绍： Transportation Research Part F: Traffic Psychology and Behaviour focuses on the behavioural and psychological aspects of traffic and transport. The aim of the journal is to enhance theory development, improve the quality of empirical studies and to stimulate the application of research findings in practice. TRF provides a focus and a means of communication for the considerable amount of research activities that are now being carried out in this field. The journal provides a forum for transportation researchers, psychologists, ergonomists, engineers and policy-makers with an interest in traffic and transport psychology.