A Quiet Museum? Prediction of Visitor Density at Staatliches Naturkundemuseum Karlsruhe
- Subject:A Quiet Museum? Prediction of Visitor Density at Staatliches Naturkundemuseum Karlsruhe
- Type:B.Sc./M.Sc.
- Supervisor:
Thesis Proposal for the Topic "A Quiet Museum? Prediction of Visitor Density at Staatliches Naturkundemuseum Karlsruhe"
Topic Description
For disabled people, visitor density at a museum is an access
concern. However, although museums do collect visitor numbers, it is often
not processed for public information, and cannot be used for visit planning.
This work is in collaboration with the Staatliches Naturkundemuseum Karlsruhe,
and aims to provide information about visitor density to inform potential
visitors about the anticipated business on a given day. The main goal of this thesis
is twofold: (1) It aims to develop aMachine Learning (ML) model that predicts
numbers of visitors for a given day at the Naturkundemuseum Karlsruhe. The underlying
ML model will be based on on historic data of ticket sales in conjunction
with other data such as weather information, past experiences of museum staff,
or concurrent events. (2) The thesis will visualize the data in an accessible way,
and one that adequately communicates uncertainty and ensures the prediction
is explainable.
This thesis is expected to contribute to the understanding of accessibility of
public spaces, and to improve access to leisure for disabled people. It is part of
the Real-World Lab Accessibility, also see http://www.accessibility.kit.edu.
Task Summary
- Requirements Analysis
Understand
visitor density, accessibility,
and the state of the art in prediction
and visualization thereof. - ML Model Development
Data
analysis and model development to
predicts visitor figures. - Frontend + Backend Development
Implement a web application
that displays predictions of visitor
density at the museum. - Evaluation
Evaluation of the prediction
quality. Optional: Evaluation
of the website with users (e.g., museum
visitors and staff).
Requirements
- Programming
- Data Analysis
- Machine Learning
- Web
- HCI