A Mixed Reality System for Kansei-Based Co-Design of Highly-Customized Products
A Mixed Reality System for Kansei-Based Co-Design of Highly-Customized Products
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DOI：
10.3233/jid-2016-0013
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发表时间：
2016-01-01
影响因子：
0.6
通讯作者：
Mougenot, Celine
中科院分区：
文献类型：
--
作者：
Arrighi, Pierre-Antoine;Maurya, Santosh;Mougenot, Celine
我们设计了一个新的计算机辅助设计工具，可以很容易地和直观地使用非专家设计师，如用户的产品正在设计。目标应用是与最终用户一起设计高度定制的产品，更具体地说是为行动不便的人设计行走辅助设备。该工具已同时开发了一个特设协议，通过问卷调查和心理生理测量准确评估用户的满意度。事实上，昂贵而复杂的技术产品，如步行辅助设备，需要专门的设计过程来满足每个用户的特定需求。在设计的早期阶段，由于用户和设计师之间的主观和沟通差距，用户需求的表征仍然很困难。为了克服这些问题，我们提出了一个新的模块化数字工具箱，允许用户和设计师之间的协同设计。该工具是混合现实硬件/软件系统和感性（或情感）工程技术的组合。硬件由模块化的TUI用户界面（TUI）组成，由3D打印定制，并由3D游戏引擎提供动力。交互式内容在混合现实中同时向用户和设计师显示。在多个协作阶段，通过问卷调查和心理物理测量收集用户的感性数据。
We designed a new Computer-Aided Design tool that can be easily and intuitively used by non-expert designers, like users of the products being designed. The target application is the design of highly-customized products together with the final users, more specifically the design of walking assistive devices with mobility-impaired people. The tool has simultaneously been developed with an ad-hoc protocol for an accurate evaluation of the satisfaction of users, through questionnaires and psychophysiological measurements. In fact, costly and complex technical products such as walking assistance devices require ad-hoc design processes to address the specific needs of each user. The characterization of user requirements in the early stage of design remains difficult due to their subjective and communication gap between the user and the designer. To overcome these issues, we propose a new modular digital toolbox that allows co-design between users and designers. The tool is a combination of a mixed reality hardware/software system and kansei (or affective) engineering techniques. The hardware consists of modular Tangible User Interfaces (TUIs), custom-made by 3D printing and powered by a 3D game engine. The interactive content is displayed in mixed reality, simultaneously to the user and the designer. Kansei data of the users are collected through questionnaires and psychophysical measurements, during multiple collaboration phases.