13 research outputs found
Talk, text, tag? Understanding self-annotation of smart home data from a user’s perspective
Delivering effortless interactions and appropriate interventions through pervasive systems requires making sense of multiple streams of sensor data. This is particularly challenging when these concern people’s natural behaviours in the real world. This paper takes a multidisciplinary perspective of annotation and draws on an exploratory study of 12 people, who were encouraged to use a multi-modal annotation app while living in a prototype smart home. Analysis of the app usage data and of semi-structured interviews with the participants revealed strengths and limitations regarding self-annotation in a naturalistic context. Handing control of the annotation process to research participants enabled them to reason about their own data, while generating accounts that were appropriate and acceptable to them. Self-annotation provided participants an opportunity to reflect on themselves and their routines, but it was also a means to express themselves freely and sometimes even a backchannel to communicate playfully with the researchers. However, self-annotation may not be an effective way to capture accurate start and finish times for activities, or location associated with activity information. This paper offers new insights and recommendations for the design of self-annotation tools for deployment in the real world
A Guide to the SPHERE 100 Homes Study Dataset
The SPHERE project has developed a multi-modal sensor platform for health and
behavior monitoring in residential environments. So far, the SPHERE platform
has been deployed for data collection in approximately 50 homes for duration up
to one year. This technical document describes the format and the expected
content of the SPHERE dataset(s) under preparation. It includes a list of some
data quality problems (both known to exist in the dataset(s) and potential
ones), their workarounds, and other information important to people working
with the SPHERE data, software, and hardware. This document does not aim to be
an exhaustive descriptor of the SPHERE dataset(s); it also does not aim to
discuss or validate the potential scientific uses of the SPHERE data