Research on a Service Touchpoint Design Model Driven by Smart Technology Based on Kano–Failure Modes and Effects Analysis
With the development of smart technology and the increasing variety of everyday products, factors influencing product service touchpoint design have become more diverse and complex. Existing service touchpoint design methods and models often focus narrowly on user research, co-design, and risk analy...
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MDPI AG
2024-12-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/24/23/7854 |
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| author | Jian Chen Zhihan Li Weiwei Wang Yi Wang Zhaoxuan He |
| author_facet | Jian Chen Zhihan Li Weiwei Wang Yi Wang Zhaoxuan He |
| author_sort | Jian Chen |
| collection | DOAJ |
| description | With the development of smart technology and the increasing variety of everyday products, factors influencing product service touchpoint design have become more diverse and complex. Existing service touchpoint design methods and models often focus narrowly on user research, co-design, and risk analyses, lacking a systematic approach. Consequently, they struggle to deliver solutions that align with user needs. This misalignment may result in issues such as increased cognitive load during product use, a diminished user experience, and lower evaluations of the product. In response, this paper proposes a service touchpoint design model, the “BEDFITA” model. It starts with user behavior and follows a structured, systematic process that includes understanding user behavior, recording user emotions, matching user needs, designing product functions, planning interaction experiences, designing service touchpoints, and analyzing failure risks. The Kano model is employed in the user requirement identification phase to provide more precise user requirement parameters, while FMEA is employed in the failure risk analysis phase to generate more accurate failure risk assessments. This ensures that the final service touchpoint design meets user needs and offers reliability and robustness. Finally, the feasibility and effectiveness of the proposed model are validated through a case study on the service touchpoint design of a smart desk. |
| format | Article |
| id | doaj-art-df3a834081b54d71bd46923cc032d44b |
| institution | OA Journals |
| issn | 1424-8220 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-df3a834081b54d71bd46923cc032d44b2025-08-20T02:38:42ZengMDPI AGSensors1424-82202024-12-012423785410.3390/s24237854Research on a Service Touchpoint Design Model Driven by Smart Technology Based on Kano–Failure Modes and Effects AnalysisJian Chen0Zhihan Li1Weiwei Wang2Yi Wang3Zhaoxuan He4School of Design and Art, Shaanxi University of Science & Technology, Xi’an 710026, ChinaSchool of Design and Art, Shaanxi University of Science & Technology, Xi’an 710026, ChinaSchool of Design and Art, Shaanxi University of Science & Technology, Xi’an 710026, ChinaSchool of Design and Art, Shaanxi University of Science & Technology, Xi’an 710026, ChinaSchool of Design and Art, Shaanxi University of Science & Technology, Xi’an 710026, ChinaWith the development of smart technology and the increasing variety of everyday products, factors influencing product service touchpoint design have become more diverse and complex. Existing service touchpoint design methods and models often focus narrowly on user research, co-design, and risk analyses, lacking a systematic approach. Consequently, they struggle to deliver solutions that align with user needs. This misalignment may result in issues such as increased cognitive load during product use, a diminished user experience, and lower evaluations of the product. In response, this paper proposes a service touchpoint design model, the “BEDFITA” model. It starts with user behavior and follows a structured, systematic process that includes understanding user behavior, recording user emotions, matching user needs, designing product functions, planning interaction experiences, designing service touchpoints, and analyzing failure risks. The Kano model is employed in the user requirement identification phase to provide more precise user requirement parameters, while FMEA is employed in the failure risk analysis phase to generate more accurate failure risk assessments. This ensures that the final service touchpoint design meets user needs and offers reliability and robustness. Finally, the feasibility and effectiveness of the proposed model are validated through a case study on the service touchpoint design of a smart desk.https://www.mdpi.com/1424-8220/24/23/7854industrial designservice touchpointintelligent product developmentfailure analysisintelligent product design decision |
| spellingShingle | Jian Chen Zhihan Li Weiwei Wang Yi Wang Zhaoxuan He Research on a Service Touchpoint Design Model Driven by Smart Technology Based on Kano–Failure Modes and Effects Analysis Sensors industrial design service touchpoint intelligent product development failure analysis intelligent product design decision |
| title | Research on a Service Touchpoint Design Model Driven by Smart Technology Based on Kano–Failure Modes and Effects Analysis |
| title_full | Research on a Service Touchpoint Design Model Driven by Smart Technology Based on Kano–Failure Modes and Effects Analysis |
| title_fullStr | Research on a Service Touchpoint Design Model Driven by Smart Technology Based on Kano–Failure Modes and Effects Analysis |
| title_full_unstemmed | Research on a Service Touchpoint Design Model Driven by Smart Technology Based on Kano–Failure Modes and Effects Analysis |
| title_short | Research on a Service Touchpoint Design Model Driven by Smart Technology Based on Kano–Failure Modes and Effects Analysis |
| title_sort | research on a service touchpoint design model driven by smart technology based on kano failure modes and effects analysis |
| topic | industrial design service touchpoint intelligent product development failure analysis intelligent product design decision |
| url | https://www.mdpi.com/1424-8220/24/23/7854 |
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