Zenggen Ren, Fu Guo, Mingming Li, Wei Lyu, Vincent G. Duffy
{"title":"车载代理体现对驾驶员感知可用性和认知工作量的影响:来自主观报告、心电图和 fNIRS 的证据","authors":"Zenggen Ren, Fu Guo, Mingming Li, Wei Lyu, Vincent G. Duffy","doi":"10.1002/hfm.21030","DOIUrl":null,"url":null,"abstract":"<p>To improve the interaction between drivers and the in-vehicle information system (IVIS), various intelligent agents, such as robot agents, virtual agents, and voice-only agents, have been integrated into vehicles. However, it is not yet clear which type of in-vehicle agent is best suited to the driving context. This study aims to investigate the effect of in-vehicle agent embodiment on drivers' perceived usability and cognitive workload. In a within-subject simulated driving experiment, 22 participants interacted with three different in-vehicle agents (smartphone agent, robot agent, and virtual agent). Functional near-infrared spectroscopy and electrocardiogram (ECG) were used to record prefrontal cortex activation and electrical changes associated with cardiac activity during simulated driving, respectively. The results show that the smartphone agent had the lowest perceived usability scores, oxygenated hemoglobin concentration variation (ΔHbO), and maximum ECG signal variation compared to baseline. There were no statistical differences in cognitive workload, perceived usability scores, brain area activation, and ECG signals between the robot agent and the virtual agent. The research findings demonstrate the positive effects of the anthropomorphic appearance of in-vehicle agents on perceived usability and contribute to improving the design of in-vehicle intelligent agents.</p>","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":"34 4","pages":"325-337"},"PeriodicalIF":2.2000,"publicationDate":"2024-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The effect of in-vehicle agent embodiment on drivers' perceived usability and cognitive workload: Evidence from subjective reporting, ECG, and fNIRS\",\"authors\":\"Zenggen Ren, Fu Guo, Mingming Li, Wei Lyu, Vincent G. Duffy\",\"doi\":\"10.1002/hfm.21030\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>To improve the interaction between drivers and the in-vehicle information system (IVIS), various intelligent agents, such as robot agents, virtual agents, and voice-only agents, have been integrated into vehicles. However, it is not yet clear which type of in-vehicle agent is best suited to the driving context. This study aims to investigate the effect of in-vehicle agent embodiment on drivers' perceived usability and cognitive workload. In a within-subject simulated driving experiment, 22 participants interacted with three different in-vehicle agents (smartphone agent, robot agent, and virtual agent). Functional near-infrared spectroscopy and electrocardiogram (ECG) were used to record prefrontal cortex activation and electrical changes associated with cardiac activity during simulated driving, respectively. The results show that the smartphone agent had the lowest perceived usability scores, oxygenated hemoglobin concentration variation (ΔHbO), and maximum ECG signal variation compared to baseline. There were no statistical differences in cognitive workload, perceived usability scores, brain area activation, and ECG signals between the robot agent and the virtual agent. The research findings demonstrate the positive effects of the anthropomorphic appearance of in-vehicle agents on perceived usability and contribute to improving the design of in-vehicle intelligent agents.</p>\",\"PeriodicalId\":55048,\"journal\":{\"name\":\"Human Factors and Ergonomics in Manufacturing & Service Industries\",\"volume\":\"34 4\",\"pages\":\"325-337\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2024-02-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Human Factors and Ergonomics in Manufacturing & Service Industries\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/hfm.21030\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, MANUFACTURING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Human Factors and Ergonomics in Manufacturing & Service Industries","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/hfm.21030","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, MANUFACTURING","Score":null,"Total":0}
The effect of in-vehicle agent embodiment on drivers' perceived usability and cognitive workload: Evidence from subjective reporting, ECG, and fNIRS
To improve the interaction between drivers and the in-vehicle information system (IVIS), various intelligent agents, such as robot agents, virtual agents, and voice-only agents, have been integrated into vehicles. However, it is not yet clear which type of in-vehicle agent is best suited to the driving context. This study aims to investigate the effect of in-vehicle agent embodiment on drivers' perceived usability and cognitive workload. In a within-subject simulated driving experiment, 22 participants interacted with three different in-vehicle agents (smartphone agent, robot agent, and virtual agent). Functional near-infrared spectroscopy and electrocardiogram (ECG) were used to record prefrontal cortex activation and electrical changes associated with cardiac activity during simulated driving, respectively. The results show that the smartphone agent had the lowest perceived usability scores, oxygenated hemoglobin concentration variation (ΔHbO), and maximum ECG signal variation compared to baseline. There were no statistical differences in cognitive workload, perceived usability scores, brain area activation, and ECG signals between the robot agent and the virtual agent. The research findings demonstrate the positive effects of the anthropomorphic appearance of in-vehicle agents on perceived usability and contribute to improving the design of in-vehicle intelligent agents.
期刊介绍:
The purpose of Human Factors and Ergonomics in Manufacturing & Service Industries is to facilitate discovery, integration, and application of scientific knowledge about human aspects of manufacturing, and to provide a forum for worldwide dissemination of such knowledge for its application and benefit to manufacturing industries. The journal covers a broad spectrum of ergonomics and human factors issues with a focus on the design, operation and management of contemporary manufacturing systems, both in the shop floor and office environments, in the quest for manufacturing agility, i.e. enhancement and integration of human skills with hardware performance for improved market competitiveness, management of change, product and process quality, and human-system reliability. The inter- and cross-disciplinary nature of the journal allows for a wide scope of issues relevant to manufacturing system design and engineering, human resource management, social, organizational, safety, and health issues. Examples of specific subject areas of interest include: implementation of advanced manufacturing technology, human aspects of computer-aided design and engineering, work design, compensation and appraisal, selection training and education, labor-management relations, agile manufacturing and virtual companies, human factors in total quality management, prevention of work-related musculoskeletal disorders, ergonomics of workplace, equipment and tool design, ergonomics programs, guides and standards for industry, automation safety and robot systems, human skills development and knowledge enhancing technologies, reliability, and safety and worker health issues.