Computational creativity is a subfield of AI that aims at studying theoretical and practical issues of creative behaviour by computational agents. A common approach to the implementation of creative systems is for these to analyse existing knowledge bases by applying AI algorithms to this data for generating new content. In this project, you will explore what will happen to the created content if we restrict the knowledge base contents so that they would include only some or none of the visual information and relationships. This will emulate a low vision or a blind person’s perspective on the output. With this project we are aiming to improve the awareness of vision impairment in the general public.
In the project you will be using knowledge bases such as ConceptNet, and extending them with new information based on the feedback from people who are blind or have low vision (BLV). You will also prepare surveys and conduct online interviews with BLV. Once this information is collected you will extend a creative system, using common AI frameworks, to generate content using this data.
The student should have programming skills and a background on machine learning.