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Fine-Grained Satisfaction Analysis of In-Vehicle Infotainment Systems Using Improved Kano Model and Cumulative Prospect Theory | IEEE Journals & Magazine | IEEE Xplore

Fine-Grained Satisfaction Analysis of In-Vehicle Infotainment Systems Using Improved Kano Model and Cumulative Prospect Theory


Abstract:

In-vehicle infotainment system (IVIS) plays an increasingly important role in vehicle intelligence. New energy vehicles have sufficient power, and their IVIS is developin...Show More

Abstract:

In-vehicle infotainment system (IVIS) plays an increasingly important role in vehicle intelligence. New energy vehicles have sufficient power, and their IVIS is developing in the direction of large size and multiple functions. By using online comments, thirteen attributes of IVIS were extracted through data clustering. Then, the attribute types and their corresponding contributions to the improvement of satisfaction and the reduction of dissatisfaction were determined by structured data transformation, correlation analysis, dual satisfaction analysis, and fine-grained satisfaction analysis using Kano model. Then, satisfaction and dissatisfaction influence indexes (IFIs) were calculated by combining attention, correlation coefficient and sentimental intensity. An improved cumulative prospect theory was then adopted to calculate the overall IFIs of different attributes. Sensitivity analyses of risk aversion and attention tendency were then conducted, and specific satisfaction optimization suggestions were then discussed. The results of the study have a guiding role in the optimization design of IVIS and the effectiveness of marketing promotion. The research methods contribute theoretically to improving the identification accuracy of online comments, coordinating the influence of sentimental tendency, integrating the analysis of attention’s influence and testing the effect of risk attitudes.
Published in: IEEE Transactions on Intelligent Transportation Systems ( Volume: 25, Issue: 11, November 2024)
Page(s): 15547 - 15561
Date of Publication: 14 October 2024

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Funding Agency:

Author image of Dianfeng Zhang
School of Management, Qufu Normal University, Rizhao, Shandong, China
Dianfeng Zhang received the bachelor’s degree from the Qilu University of Technology in 2010, the master’s degree from Shandong University in 2017, and the Ph.D. degree from Liaoning University in 2023. He is currently a Lecturer with the School of Management, Qufu Normal University. He contributed to the writing-original draft and editing, date curation, visualization, methodology, and conceptualization. His research int...Show More
Dianfeng Zhang received the bachelor’s degree from the Qilu University of Technology in 2010, the master’s degree from Shandong University in 2017, and the Ph.D. degree from Liaoning University in 2023. He is currently a Lecturer with the School of Management, Qufu Normal University. He contributed to the writing-original draft and editing, date curation, visualization, methodology, and conceptualization. His research int...View more
Author image of Yanfeng Li
School of Business Department, Faculty of Economics, Liaoning University, Shenyang, Liaoning, China
Yanfeng Li received the bachelor’s degree from Hebei University of Economics and Business in 2020, and the master’s degree from Liaoning University in 2023. He is currently with the School of Business, Liaoning University. He contributed to the data mining and formal analysis. His research interests include data mining, machine learning, and service operation management.
Yanfeng Li received the bachelor’s degree from Hebei University of Economics and Business in 2020, and the master’s degree from Liaoning University in 2023. He is currently with the School of Business, Liaoning University. He contributed to the data mining and formal analysis. His research interests include data mining, machine learning, and service operation management.View more
Author image of Yanlai Li
School of Business Department, Faculty of Economics, Liaoning University, Shenyang, Liaoning, China
Yanlai Li received the master’s and Ph.D. degrees from Southwest Jiaotong University in 2003 and 2006, respectively. He is currently a Professor and a Ph.D. Supervisor with the School of Business, Liaoning University. He contributed to the funding acquisition, supervision, project administration, and writing-review. His research interests include data-driven product service systems, product design and optimization, data-d...Show More
Yanlai Li received the master’s and Ph.D. degrees from Southwest Jiaotong University in 2003 and 2006, respectively. He is currently a Professor and a Ph.D. Supervisor with the School of Business, Liaoning University. He contributed to the funding acquisition, supervision, project administration, and writing-review. His research interests include data-driven product service systems, product design and optimization, data-d...View more

Author image of Dianfeng Zhang
School of Management, Qufu Normal University, Rizhao, Shandong, China
Dianfeng Zhang received the bachelor’s degree from the Qilu University of Technology in 2010, the master’s degree from Shandong University in 2017, and the Ph.D. degree from Liaoning University in 2023. He is currently a Lecturer with the School of Management, Qufu Normal University. He contributed to the writing-original draft and editing, date curation, visualization, methodology, and conceptualization. His research interests include big data analysis, product and service design, decision theory and method, and consumer behavior.
Dianfeng Zhang received the bachelor’s degree from the Qilu University of Technology in 2010, the master’s degree from Shandong University in 2017, and the Ph.D. degree from Liaoning University in 2023. He is currently a Lecturer with the School of Management, Qufu Normal University. He contributed to the writing-original draft and editing, date curation, visualization, methodology, and conceptualization. His research interests include big data analysis, product and service design, decision theory and method, and consumer behavior.View more
Author image of Yanfeng Li
School of Business Department, Faculty of Economics, Liaoning University, Shenyang, Liaoning, China
Yanfeng Li received the bachelor’s degree from Hebei University of Economics and Business in 2020, and the master’s degree from Liaoning University in 2023. He is currently with the School of Business, Liaoning University. He contributed to the data mining and formal analysis. His research interests include data mining, machine learning, and service operation management.
Yanfeng Li received the bachelor’s degree from Hebei University of Economics and Business in 2020, and the master’s degree from Liaoning University in 2023. He is currently with the School of Business, Liaoning University. He contributed to the data mining and formal analysis. His research interests include data mining, machine learning, and service operation management.View more
Author image of Yanlai Li
School of Business Department, Faculty of Economics, Liaoning University, Shenyang, Liaoning, China
Yanlai Li received the master’s and Ph.D. degrees from Southwest Jiaotong University in 2003 and 2006, respectively. He is currently a Professor and a Ph.D. Supervisor with the School of Business, Liaoning University. He contributed to the funding acquisition, supervision, project administration, and writing-review. His research interests include data-driven product service systems, product design and optimization, data-driven logistics, and supply chain management.
Yanlai Li received the master’s and Ph.D. degrees from Southwest Jiaotong University in 2003 and 2006, respectively. He is currently a Professor and a Ph.D. Supervisor with the School of Business, Liaoning University. He contributed to the funding acquisition, supervision, project administration, and writing-review. His research interests include data-driven product service systems, product design and optimization, data-driven logistics, and supply chain management.View more
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