Developing artificial intelligence based assistive systems to aid Persons with Dementia (PwD) requires large amounts of training data. However, data collection poses ethical, legal, economic, and logistic issues. Synthetic data generation tools, in this regard, provide a potential solution. However, we believe that already available such tools do not adequately reflect cognitive deficiencies in behavior simulation. To counter these issues we propose a simulation model (SimDem ) that primarily focuses on cognitive impairments suffered by PwD and can be easily configured and adapted by the users to model and evaluate assistive solutions.
@article{arxiv.2107.05346,
title = {SimDem A Multi-agent Simulation Environment to Model Persons with Dementia and their Assistance},
author = {Muhammad Salman Shaukat and Bjarne Christian Hiller and Sebastian Bader and Thomas Kirste},
journal= {arXiv preprint arXiv:2107.05346},
year = {2021}
}
Comments
5 pages, accepted in ARIAL@IJCAI 2021: 4th Workshop on AI for Aging, Rehabilitation, and Intelligent Assisted Living