{"title":"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。","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":"{\"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}","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}
An Exploratory Study on Auditory Experience in Electric Vehicles: Understanding User Characteristics and Driving Contexts Through Real-Driving Experiments.
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.
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.