Fish Eyes was first developed with the assumption that museums are lacking visitors from the millenial demographic. However, after more research and user interviews, we found that museums are not targeting any certain age groups. Their goal is to reach a wide range of people not focusing on any demographics and age groups. They have even figured ways to reach groups that their permanent exhibitions are not able through demographic-specific events and programming.
Initially, we thought our target audience would be museums curatorial staff. However, it would seem that our target audience might actually be the museums Visitor Services or the security department. Unlike the curatorial staff, the visitors services department are more likely to use visitor behavioral data in their practices of exhibition planning. They are already using observations to inform future planning and safety control. Because of this, we are also expanding to museum security. The data that we gather from surveillance video footage can be used to plan exhibitions around egress and safety codes.
Currently, we are looking at path tracking, dwell time, and age as metrics of visitor behavioral data. Path tracking will allow museums to understand how visitors are moving through the space, while a heat map showing their dwell time will give them an idea about how long and what visitors are standing in front of. We originally started out looking at age because we thought museums will care more about their demographic outreach. We are considering looking at social media footprint and pictures taken as potential metrics.
Once the AI gathers the information from the surveillance video footage, the information is then parsed and displayed for the museum staff on a comprehensive dashboard.
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