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基于卡诺-失效模式与效应分析的智能技术驱动的服务接触点设计模型研究

Research on a Service Touchpoint Design Model Driven by Smart Technology Based on Kano-Failure Modes and Effects Analysis.

作者信息

Chen Jian, Li Zhihan, Wang Weiwei, Wang Yi, He Zhaoxuan

机构信息

School of Design and Art, Shaanxi University of Science & Technology, Xi'an 710026, China.

出版信息

Sensors (Basel). 2024 Dec 9;24(23):7854. doi: 10.3390/s24237854.

Abstract

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.

摘要

随着智能技术的发展以及日常产品种类的不断增加,影响产品服务接触点设计的因素变得更加多样和复杂。现有的服务接触点设计方法和模型往往过于狭隘地聚焦于用户研究、协同设计和风险分析,缺乏系统性方法。因此,它们难以提供符合用户需求的解决方案。这种不匹配可能导致诸如产品使用过程中认知负荷增加、用户体验下降以及产品评价较低等问题。作为回应,本文提出了一种服务接触点设计模型,即“BEDFITA”模型。它从用户行为出发,遵循一个结构化、系统化的过程,包括理解用户行为、记录用户情绪、匹配用户需求、设计产品功能、规划交互体验、设计服务接触点以及分析失败风险。在用户需求识别阶段采用卡诺模型以提供更精确的用户需求参数,而在失败风险分析阶段采用失效模式与效应分析以生成更准确的失败风险评估。这确保最终的服务接触点设计满足用户需求并提供可靠性和稳健性。最后,通过对智能书桌服务接触点设计的案例研究验证了所提出模型的可行性和有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eea9/11645028/def1e7c0381b/sensors-24-07854-g001.jpg

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