An Exploratory Study on Auditory Experience in Electric Vehicles: Understanding User Characteristics and Driving Contexts Through Real-Driving Experiments.

IF 3.3 3区 心理学 Q1 BEHAVIORAL SCIENCES
Yein Song, Dain Kim, Jane Lee, Myung Hwan Yun
{"title":"An Exploratory Study on Auditory Experience in Electric Vehicles: Understanding User Characteristics and Driving Contexts Through Real-Driving Experiments.","authors":"Yein Song, Dain Kim, Jane Lee, Myung Hwan Yun","doi":"10.1177/00187208251335149","DOIUrl":null,"url":null,"abstract":"<p><p>ObjectiveThis study investigated how user characteristics and driving context influence auditory experiences (AX) in electric vehicles (EVs), identifying distinct user types and their specific auditory needs and evaluation.BackgroundElectric vehicles (EVs) present unique opportunities for designing auditory experiences (AX) due to their quiet operation characteristics and acoustic vehicle alert systems (AVAS).MethodForty participants conducted real-driving experiments with an EV, experiencing sounds at low, medium, and high speeds. We applied systematic analysis combining topic modeling (BERTopic) and qualitative coding of think-aloud interviews and statistical analysis of questionnaire responses.ResultsFour user types were segmented by attitude (Dynamic vs. Conservative) and car type (EV vs. ICV owners). Text analysis revealed varying frequencies of concerns across user types regarding driving contexts, functional aspects, and affective aspects of AX. Statistical analysis showed significant differences among user types in sporty preferences and perceptions of affective properties (Sporty, Stylish, Comfort, and Calm). Driving contexts significantly influenced perceived Stylish and Calm characteristics.ConclusionThis study provides empirical evidence and design implications for customized AX in EVs design based on user characteristics and driving contexts.ApplicationThe findings can guide the development of personalized AX systems in EVs, enhancing both user satisfaction and safety through context-aware and user-centered design approaches.</p>","PeriodicalId":56333,"journal":{"name":"Human Factors","volume":" ","pages":"187208251335149"},"PeriodicalIF":3.3000,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Human Factors","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1177/00187208251335149","RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BEHAVIORAL SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

ObjectiveThis study investigated how user characteristics and driving context influence auditory experiences (AX) in electric vehicles (EVs), identifying distinct user types and their specific auditory needs and evaluation.BackgroundElectric vehicles (EVs) present unique opportunities for designing auditory experiences (AX) due to their quiet operation characteristics and acoustic vehicle alert systems (AVAS).MethodForty participants conducted real-driving experiments with an EV, experiencing sounds at low, medium, and high speeds. We applied systematic analysis combining topic modeling (BERTopic) and qualitative coding of think-aloud interviews and statistical analysis of questionnaire responses.ResultsFour user types were segmented by attitude (Dynamic vs. Conservative) and car type (EV vs. ICV owners). Text analysis revealed varying frequencies of concerns across user types regarding driving contexts, functional aspects, and affective aspects of AX. Statistical analysis showed significant differences among user types in sporty preferences and perceptions of affective properties (Sporty, Stylish, Comfort, and Calm). Driving contexts significantly influenced perceived Stylish and Calm characteristics.ConclusionThis study provides empirical evidence and design implications for customized AX in EVs design based on user characteristics and driving contexts.ApplicationThe findings can guide the development of personalized AX systems in EVs, enhancing both user satisfaction and safety through context-aware and user-centered design approaches.

电动汽车听觉体验的探索性研究:通过真实驾驶实验了解用户特征和驾驶情境。
目的研究用户特征和驾驶环境对电动汽车听觉体验的影响,识别不同类型的用户及其特定的听觉需求和评价。电动汽车(ev)由于其安静的运行特性和声学车辆警报系统(AVAS),为设计听觉体验(AX)提供了独特的机会。方法40名受试者驾驶电动汽车,分别体验低速、中速和高速下的声音。我们将话题建模(BERTopic)与有声思考访谈的定性编码相结合,并对问卷回答进行统计分析。结果根据态度(动态与保守)和汽车类型(电动汽车与ICV车主)划分出4种用户类型。文本分析揭示了不同用户类型对驾驶上下文、功能方面和情感方面的不同关注频率。统计分析显示,用户类型在运动偏好和情感属性(运动、时尚、舒适和平静)的感知上存在显著差异。驾驶环境对感知到的时尚和冷静特征有显著影响。结论本研究为基于用户特征和驾驶情境的电动汽车定制化设计提供了实证依据和设计启示。研究结果可以指导电动汽车个性化AX系统的开发,通过情境感知和以用户为中心的设计方法提高用户满意度和安全性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Human Factors
Human Factors 管理科学-行为科学
CiteScore
10.60
自引率
6.10%
发文量
99
审稿时长
6-12 weeks
期刊介绍: Human Factors: The Journal of the Human Factors and Ergonomics Society publishes peer-reviewed scientific studies in human factors/ergonomics that present theoretical and practical advances concerning the relationship between people and technologies, tools, environments, and systems. Papers published in Human Factors leverage fundamental knowledge of human capabilities and limitations – and the basic understanding of cognitive, physical, behavioral, physiological, social, developmental, affective, and motivational aspects of human performance – to yield design principles; enhance training, selection, and communication; and ultimately improve human-system interfaces and sociotechnical systems that lead to safer and more effective outcomes.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信