Abstract
While a growing number of studies report on relationships between behaviours (e.g. alcohol consumption, political behaviours, sleep, recycling), there is a need for a shared understanding of behaviour (e.g. how to characterise and differentiate between behaviours) and the ability to integrate insights on the relations between behaviours. Semantic technologies and ontologies can help in formalising the behaviour domain in a structured approach to support sharing, reuse and interoperability in a manner that can allow future researchers to build on activities in this space. In this work-in-progress paper, we describe the semantic technologies (ontology, data capture tool and visualisations) that are currently being developed by the TURBBO (Tools for Understanding the Relationship between Behaviours using Ontologies) project to support researchers in understanding relations between behaviours and reason upon the existent data. In this paper, we also describe our future plans to evaluate the technologies being developed as a part of the project.
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Acknowledgements
This work is done as part of the TURBBO project which is funded by the ESRC (Award #ES/T009179/1). We would also like to thank our participants for their valuable insights and contributions during the co-design workshops.
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Mazumdar, S. et al. (2023). Understanding the Relationship Between Behaviours Using Semantic Technologies. In: Stephanidis, C., Antona, M., Ntoa, S., Salvendy, G. (eds) HCI International 2023 Posters. HCII 2023. Communications in Computer and Information Science, vol 1834. Springer, Cham. https://doi.org/10.1007/978-3-031-35998-9_15
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