LABORATORY FOR ARTIFICIAL INTELLIGENCE IN DESIGN
LIMITED (AiDLab) PROJECTS
Big data analytics for product and service design
:
RP2-1
:
- To extract latent customer needs and product/service features based on online reviews
- To model the relationships between customer preferences and product/service attributes
- To establish the relationships between the facial expression and body gestures of customers and their satisfaction on products/services
- To develop an intelligent system for product and service design
:
- Converting speeches into texts and conducting of sentiment analysis
- Extraction of latent customer needs and product/service features based on online reviews
- Determination of the importance of customer needs and product/service features
- Dynamic analysis of customer preferences on product/service attributes
- Modeling of the relationships between customer preferences and product/service attributes
- Preparation of data sets of customers’ facial expression and body gestures
- Modeling of the relationships between the facial expression and body gestures of customers and their satisfaction on products/services
- Determination of the optimal setting of design attributes of a new product/service
- Development a prototype intelligent system for product and service design
- Conducting of case studies for evaluating the effectiveness of the intelligent system
A cyber physical system for sustainable design by using evolutionary algorithms for eco-innovation
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RP2-2
:
- To define and analyze the targets and selection criteria of eco-innovation idea
- To structure the framework and workflow of the proposed system
- To formulate the screening and selection process of optimal solution in the system
:
- Determination and analysis of the targets and attributes of optimal eco-innovation ideas
- Determination of the importance of optimal eco-innovation targets and attributes
- Construction of framework and workflow of the cyber physical system
- Development of a prototype using IoT device and related smart service to analyze the eco-innovative and practical design solutions and GA to find the optimal solution considering both environmental and economic aspects
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