{"title":"Exploring the Appeal of Car-Borne Central Control Platforms Based on Driving Experience","authors":"Chih-Kuan Lin, Chien-Hsiung Chen, Kai-Shuan Shen","doi":"10.3390/mti7110101","DOIUrl":null,"url":null,"abstract":"This study explored drivers’ emotion-based impressions of car-borne central control platforms (CBCCPs) for personal-use vehicles. Thus, this preference-based study examined experts’ and drivers’ opinions regarding the appeal of CBCCPs from the perspective of Miryoku engineering. To this end, this study analyzed data via the EGM (evaluation grid method (EGM) and quantification theory type I. Results: Drivers’ preferences for specific CBCCP design characteristics were categorized into the factors “legible”, convenient”, and “tasteful”, which comprised the core of the EGM semantic hierarchical diagram. In addition, the importance of CBCCPs’ appeal factors and characteristics was assessed through quantification theory type I. The findings of this study provide valuable insights for designers, manufacturers, and researchers interested in the design of CBCCPs. Additionally, the results of this study can contribute to research on applied psychology, human–computer interactions, and car interface design.","PeriodicalId":52297,"journal":{"name":"Multimodal Technologies and Interaction","volume":"27 5","pages":"0"},"PeriodicalIF":2.4000,"publicationDate":"2023-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Multimodal Technologies and Interaction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/mti7110101","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0
Abstract
This study explored drivers’ emotion-based impressions of car-borne central control platforms (CBCCPs) for personal-use vehicles. Thus, this preference-based study examined experts’ and drivers’ opinions regarding the appeal of CBCCPs from the perspective of Miryoku engineering. To this end, this study analyzed data via the EGM (evaluation grid method (EGM) and quantification theory type I. Results: Drivers’ preferences for specific CBCCP design characteristics were categorized into the factors “legible”, convenient”, and “tasteful”, which comprised the core of the EGM semantic hierarchical diagram. In addition, the importance of CBCCPs’ appeal factors and characteristics was assessed through quantification theory type I. The findings of this study provide valuable insights for designers, manufacturers, and researchers interested in the design of CBCCPs. Additionally, the results of this study can contribute to research on applied psychology, human–computer interactions, and car interface design.