Arribas Velasco, A.; McGrory, J.; Berry, D. An Evaluation Study on the Analysis of People’s Domestic Routines Based on Spatial, Temporal and Sequential Aspects. Appl. Sci.2023, 13, 10608.
Arribas Velasco, A.; McGrory, J.; Berry, D. An Evaluation Study on the Analysis of People’s Domestic Routines Based on Spatial, Temporal and Sequential Aspects. Appl. Sci. 2023, 13, 10608.
Arribas Velasco, A.; McGrory, J.; Berry, D. An Evaluation Study on the Analysis of People’s Domestic Routines Based on Spatial, Temporal and Sequential Aspects. Appl. Sci.2023, 13, 10608.
Arribas Velasco, A.; McGrory, J.; Berry, D. An Evaluation Study on the Analysis of People’s Domestic Routines Based on Spatial, Temporal and Sequential Aspects. Appl. Sci. 2023, 13, 10608.
Abstract
The concept of collecting data of people using a domestic space is not novel. However, the methods and processes used to decipher this raw data and transform it into useful and appropriate information (i.e., sequence, duration, and timing derived from domestic activities) have been challenging and the focus of many research groups. But how are the results of the decoded transposition received, interpreted and used by the various professionals (e.g., occupational therapists and architects) who consume the information? This paper describes the inclusive evaluation process undertaken, which involved architects, engineers and end-users (not the occupant, but the care team managing the occupant). Finally, our study evidence the importance of making accessible to a multidisciplinary audience spatial, temporal and sequential aspects derived from people's domestic routines. Shedding light on how a systematic approach to collecting, processing and mapping low-level sensor data into higher forms and representations can be a valuable source of knowledge for improving the domestic living experience.
Keywords
Behaviour analysis; domestic environments; activities of daily living; knowledge discovery in databases
Subject
Engineering, Other
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
