Project Details


Museums have long been interested in how to personalise their visitors' experiences by providing personalised art suggestions. Here we test our innovative solution that combines eye-tracking and artificial intelligence to solve the above challenge. We partnered with RWA to test out our technology. We would like to gain insight into how we can increase user-friendliness of our technology and it is critical that we understand opinions and perceptions of end-users - curators and museum visitors.

Layman's description

One of the greatest advancements of the current AI revolution is the individualisation of content: not only will searching algorithms offer more self-relevant content to users, but generative methods will enable people to further personalise their environments. We strongly believe that universities, together with cultural heritage institutions, will need to be leaders of this next stage of cultural digitisation. We now turn our focus to the development of the protocol for profiling museum visitors in real settings, working closely with user stakeholders, e.g., our partner Royal West of England Academy (RWA). Outputs include optimising time needed to profile museum visitors, space and time demands on staff during busy exhibitions, understanding and measuring interest towards the technology from museum visitors (e.g., attitudes towards AI in profiling someone’s preferences) and optimising the tool to support the needs of museum curators, with particular focus on neurologically and culturally diverse user groups currently hard to reach. This will enable us to continue the development of the technology with responsible innovation and address concerns about AI, unlocking the next steps of profiling visitors with state-of-the-art technology in a way that people find accessible and ethical.
Effective start/end date1/08/2331/07/24


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