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Developing a Knowledge-Based System for Lean Communications Between Designers and Clients

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Human-Computer Interaction. Design and User Experience Case Studies (HCII 2021)

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Abstract

Design is all about communication. Clients often have a difficult time expressing their needs to designers through the proper channels, leaving many designers struggling to meet the demands placed on them. The objective of this study was to improve designer-client communication by looking at the communication process with Lean Thinking, finding waste and eliminating it, and creating a knowledge base containing comprehensive product attributes that can be targeted to help designers and clients simplify the communication. An experiment was conducted to develop the children’s electric toothbrush knowledge base with four main stages. The first stage was analyzing the attributes of toothbrush from several aspects includes function, behavior and structure. The second stage was surveying 10 designers by questionnaire and the results were analyzed qualitatively and quantitatively. The third stage was to import individual cases and filter attribute elements to establish mapping relationships. The fourth stage was the use of Django project structure and presentation of knowledge base. Based on the findings of this study, an augmented children’s electric toothbrush knowledge base using the Kansei retrieval method was developed, the knowledge base contains comprehensive product attribute items and cases, which can be used by both clients and designers to improve the designer-client communication.

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Hung, YH., Liang, JB. (2021). Developing a Knowledge-Based System for Lean Communications Between Designers and Clients. In: Kurosu, M. (eds) Human-Computer Interaction. Design and User Experience Case Studies. HCII 2021. Lecture Notes in Computer Science(), vol 12764. Springer, Cham. https://doi.org/10.1007/978-3-030-78468-3_3

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  • DOI: https://doi.org/10.1007/978-3-030-78468-3_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-78467-6

  • Online ISBN: 978-3-030-78468-3

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