Research on a Service Touchpoint Design Model Driven by Smart Technology Based on Kano-Failure Modes and Effects
Jian Chen1, Zhihan Li1, Weiwei Wang1
1School of Design and Art, Shaanxi University of Science & Technology, Xi'an 710026, China.
Sensors (Basel, Switzerland)
|December 17, 2024
Summary
This study introduces the BEDFITA model for systematic product service touchpoint design, enhancing user experience by aligning product functions with user needs and reducing risks. It ensures reliable and robust designs through structured analysis.
Area of Science:
- Human-Computer Interaction
- Product Design
- Service Engineering
Background:
- Smart technology integration increases complexity in product service touchpoint design.
- Current methods lack a systematic approach, leading to misaligned user needs and poor product experience.
- Issues include increased cognitive load, diminished user experience, and lower product evaluations.
Purpose of the Study:
- Propose a systematic service touchpoint design model, BEDFITA, to address limitations in existing methods.
- Enhance product-service design by ensuring alignment with user needs, behavior, and emotions.
- Validate the model's effectiveness through a case study on smart desk design.
Main Methods:
- The BEDFITA model integrates user behavior understanding, emotion recording, need matching, function design, interaction planning, touchpoint design, and failure risk analysis.
- Employs the Kano model for precise user requirement identification.
- Utilizes Failure Mode and Effects Analysis (FMEA) for accurate failure risk assessment.
Main Results:
- The BEDFITA model provides a structured and systematic approach to service touchpoint design.
- Integration of Kano model and FMEA ensures designs meet user needs with reliability and robustness.
- Case study validated the model's feasibility and effectiveness in smart product design.
Conclusions:
- The BEDFITA model offers a comprehensive framework for designing effective product service touchpoints.
- Systematic integration of user-centric methods and risk analysis leads to improved user experience and product evaluation.
- The model is applicable to complex smart products, ensuring user satisfaction and design robustness.
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