| Autor: |
Duane, Aaron, Gurrin, Cathal, Monaghan, David |
| Přispěvatelé: |
Spink, Andrew, Riedel, Gernot, Zhou, Liting, Teekens, Lisanne, Albatal, Rami, Gurrin, Cathal |
| Jazyk: |
angličtina |
| Rok vydání: |
2016 |
| Předmět: |
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| Zdroj: |
Duane, Aaron ORCID: 0000-0002-9825-1654 , Gurrin, Cathal ORCID: 0000-0003-2903-3968 and Monaghan, David ORCID: 0000-0002-5169-9902 (2016) Dashboard visualisation of lifelog data for summarisation and pattern recognition to promote behavioural change. In: Measuring Behavior 2016, 25-27 May 2016, Dublin, Ireland. ISBN 978-1-873769-59-1 |
| Popis: |
Lifelogging is a form of pervasive computing, which is capable of recording a catalogue of the totality of an individual’s experiences. Lifelogging data can take many forms from daily step counts, sleep monitoring and heart rate data to location based information to video/image diaries from cameras embedded into glasses or clothing or worn. From the perspective of behavioural change, lifelog data is an invaluable resource that can contain many potential insights into a person's patterns and experiences. One major issue with Lifelogging is the sheer volume of user generated data and analysing this wealth of data in a coherent and efficient manner can become increasingly difficult as the datasets become larger and more varied. Through utilising data visualisation techniques in a dashboard interface, or similar, one can make high-level analyses and summarisations of this data much more achievable. This visually intuitive approach to disseminating rich datasets alongside automated and algorithmic machine-learning techniques can lead to valuable user insights and the potential to significantly promote behavioural change. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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