Exploring the Appeal of Car-Borne Central Control Platforms Based on Driving Experience

IF 2.4 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Multimodal Technologies and Interaction Pub Date : 2023-10-29 DOI:10.3390/mti7110101
Chih-Kuan Lin, Chien-Hsiung Chen, Kai-Shuan Shen
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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.
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基于驾驶体验探索车载中控平台的吸引力
本研究探讨了驾驶员对车载中央控制平台(cbccp)的情感印象。因此,这项基于偏好的研究从Miryoku工程的角度考察了专家和司机对cbccp吸引力的看法。为此,本研究通过评价网格法(EGM)和量化理论类型i对数据进行分析。结果:驾驶员对特定CBCCP设计特征的偏好分为“易读”、“方便”和“有品位”三个因素,构成了EGM语义层次图的核心。此外,通过量化理论类型i评估了cbccp的吸引力因素和特征的重要性。本研究的发现为对cbccp设计感兴趣的设计师、制造商和研究人员提供了有价值的见解。此外,本研究结果对应用心理学、人机交互、汽车界面设计等方面的研究也有贡献。
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来源期刊
Multimodal Technologies and Interaction
Multimodal Technologies and Interaction Computer Science-Computer Science Applications
CiteScore
4.90
自引率
8.00%
发文量
94
审稿时长
4 weeks
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