Visualisation to Explain Personal Health Trends in Smart Homes
Signal Processing
2021-10-01 v1
Abstract
An ambient sensor network is installed in Smart Homes to identify low-level events taking place by residents, which are then analysed to generate a profile of activities of daily living. These profiles are compared to both the resident's typical profile and to known "risky" profiles to support recommendation of evidence-based interventions. Maintaining trust presents an XAI challenge because the recommendations are not easily interpretable. Trust in the system can be improved by making the decision-making process more transparent. We propose a visualisation workflow which presents the data in clear, colour-coded graphs.
Keywords
Cite
@article{arxiv.2109.15125,
title = {Visualisation to Explain Personal Health Trends in Smart Homes},
author = {Glenn Forbes and Stewart Massie and Susan Craw},
journal= {arXiv preprint arXiv:2109.15125},
year = {2021}
}
Comments
5 pages, 3 figures, First International Workshop on eXplainable Artificial Intelligence in Healthcare