Projects per year
Abstract
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.
Original language | English |
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Article number | 2365 |
Number of pages | 22 |
Journal | Sensors |
Volume | 18 |
Issue number | 7 |
Early online date | 20 Jul 2018 |
DOIs | |
Publication status | Published - Jul 2018 |
Research Groups and Themes
- Digital Health
- SPHERE
Keywords
- Activity logging
- Ground-truth acquisition
- Labelling
- Location
- Naturalistic data
- NFC
- Self-annotation
- Smart homes
Fingerprint
Dive into the research topics of 'Talk, text, tag? Understanding self-annotation of smart home data from a user’s perspective'. Together they form a unique fingerprint.Projects
- 1 Finished
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SPHERE (EPSRC IRC)
Craddock, I. J. (Principal Investigator), Coyle, D. T. (Principal Investigator), Flach, P. A. (Principal Investigator), Kaleshi, D. (Principal Investigator), Mirmehdi, M. (Principal Investigator), Piechocki, R. J. (Principal Investigator), Stark, B. H. (Principal Investigator), Ascione, R. (Co-Principal Investigator), Ashburn, A. M. (Collaborator), Burnett, M. E. (Collaborator), Damen, D. (Co-Principal Investigator), Gooberman-Hill, R. (Principal Investigator), Harwin, W. S. (Collaborator), Hilton, G. (Co-Principal Investigator), Holderbaum, W. (Collaborator), Holley, A. P. (Manager), Manchester, V. A. (Administrator), Meller, B. J. (Other ), Stack, E. (Collaborator) & Gilchrist, I. D. (Principal Investigator)
1/10/13 → 30/09/18
Project: Research, Parent
Datasets
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SPHERE Annotations (Medium-term Stays)
Burrows, A. (Creator), Woznowski, P. (Creator), Tonkin, E. (Creator), Laskowski, P. (Creator), Yordanova, K. Y. (Creator), Twomey, N. (Creator), Craddock, I. (Creator) & Craddock, I. (Data Manager), University of Bristol, 15 Jul 2018
DOI: 10.5523/bris.23uy4kg0al1kt2qye1y2athlr1, http://data.bris.ac.uk/data/dataset/23uy4kg0al1kt2qye1y2athlr1
Dataset
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SPHERE ADL ontology
Woznowski, P. (Creator), Dr Rachel King, U. O. R. (Contributor) & Holley, A. (Data Manager), University of Bristol, 7 Mar 2016
DOI: 10.5523/bris.1234ym4ulx3r11i2z5b13g93n7, http://data.bris.ac.uk/data/dataset/1234ym4ulx3r11i2z5b13g93n7
Dataset