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Artificial Intelligence in Design Creativity - Exploring the Use of Artificial Intelligence to Support Designers in Creative Idea Generation of Evaluation

Project Description

Background: Artificial Intelligence (AI) has become a ‘hot’ topic across many industries in recent years. Many industries have employed AI technologies, such as machine learning, natural language processing and computer vision, to help them achieve innovation and business success. Design jobs are often described as creative and intelligence, which require designers to possess highly creative thinking skills comparing with many other disciplines. However, it is very challenging for designers to produce creative ideas for product design and development, due to issues such as numerous existing ideas and time pressure. This ability to generate creative ideas that are novel, useful and surprising is often known as design creativity. It is an integral part of design, which supports problem-solving, initiates innovation, closely relates to business commercial performance and increases a firm’s market share. Numerous data exist in the design filed, such as patents, design descriptions and images, which has created a successful foundation for AI. Therefore, there is a big opportunity for AI to support designers in design creativity, which will lead to significant impacts.
Aim and Scope: The overall research aim of this doctoral research project is to explore the use of AI technologies to assist designers in design creativity. You will need to investigate the characteristics of creative thinking in the process of producing and evaluating new ideas; study theories of creativity, cognitions of creativity, and how the human mind and memory work. You will then need to investigate how to apply AI technologies to support designers in idea generation and evaluation. The outcome of this research will provide designers with new and efficient AI approaches to support design creativity in new product design and development. It will provide new insights into design research as well as design industries.
Required Skills: We are seeking candidates with a minimum of 2:1 (or equivalent) first degree in Design, Mechanical Engineering, Computer Science & IT or a related subject. Experience in coding with Python and JavaScript is expected. Knowledge of Artificial Intelligence, Machine Learning and Natural Language Processing is preferred. Good team-working and communication skills are essential.

To apply isit our website:

Funding Notes

Self-funded students are welcome to apply. The successful applicant will be expected to provide the funding for tuition fees and all living expenses. Details of the cost of study can be found on the University website. There is NO funding attached to this project.
We have a thriving international researcher community and encourage applications from students of any nationality able to fund their own studies (Government scholarship), or who wish to apply for their own funding (e.g. China Scholarship Council).

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