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Understanding the Relationship Between Behaviours Using Semantic Technologies

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HCI International 2023 Posters (HCII 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1834))

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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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References

  1. Gómez-Pérez, A., Fernández-López, M., Corcho, O.: Ontological Engineering: with examples from the areas of Knowledge Management, e-Commerce and the Semantic Web. Springer Science & Business Media, London (2006). https://doi.org/10.1007/b97353

  2. Bechhofer, S., et al.: OWL web ontology language reference. W3C Recommend. 10(2), 1–53 (2004)

    Google Scholar 

  3. Bleumers, L., et al.: Towards ontology co-creation in institutionalized care settings. In: 2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops, pp. 559–562. IEEE, May 2011

    Google Scholar 

  4. Schuler, D., Namioka, A. (Eds.) Participatory Design: Principles and Practices. CRC Press (1993)

    Google Scholar 

  5. Noy, N., McGuinness, D.L.: Ontology Development 101. Stanford University, Knowledge Systems Laboratory (2001)

    Google Scholar 

  6. The Legal APA ontology. https://bioportal.bioontology.org/ontologies/LEGALAPA. Accessed 5 May 2022

  7. Education Cluster ontology. https://bioportal.bioontology.org/ontologies/

  8. APAEDUCLUSTER. Accessed 5 May 2022

    Google Scholar 

  9. International Classification for Nursing Practice. https://bioportal.bioontology.org/ontologies/ICNP. Last accessed 5 May 2022

  10. Physical Activity Ontology, https://bioportal.bioontology.org/ontologies/PACO. Last accessed 5 May 2022

  11. The Neuro Behaviour Ontology. https://bioportal.bioontology.org/ontologies/NBO. Accessed 5 May 2022

  12. Nudelman, G., Shiloh, S.: Mapping health behaviors: Constructing and validating a common-sense taxonomy of health behaviors. Soc. Sci. Med. 146, 1–10 (2015)

    Article  Google Scholar 

  13. Consumer Wearable Devices Ontology, https://bioportal.bioontology.org/ontologies/CWD. Accessed 5 May 2022

  14. Norris, E., et al.: Development of an intervention setting ontology for behaviour change: specifying where interventions take place. Welcome Open Res. 5, 124 (2020). https://doi.org/10.12688/wellcomeopenres.15904.1

    Article  Google Scholar 

  15. Shum, S.B., Motta, E., Domingue, J.: ScholOnto: an ontology-based digital library server for research documents and discourse. Int. J. Digit. Libr. 3(3), 237–248 (2000)

    Article  Google Scholar 

  16. Liakata, M., Teufel, S., Siddharthan, A., Batchelor, C.R.: Corpora for the conceptualisation and zoning of scientific papers. In: Proceedings of the International Conference on Language Resources and Evaluation. (2010)

    Google Scholar 

  17. Liakata, M., Saha, S., Dobnik, S., Batchelor, C., RebholzSchuhmann, D.: Automatic recognition of conceptualization zones in scientific articles and two life science applications. Bioinformatics 28(7), 991–1000 (2012)

    Article  Google Scholar 

  18. Kossmeier, M., Tran, U.S., Voracek, M.: Charting the landscape of graphical displays for meta-analysis and systematic reviews: a comprehensive review, taxonomy, and feature analysis. BMC Med. Res. Methodol. 20(1), 1–24 (2020)

    Article  Google Scholar 

  19. Ahmed, W., VidalAlaball, J., Downing, J., Seguí, F.L.: COVID-19 and the 5G conspiracy theory: social network analysis of Twitter data. J. Med. Internet Res. 22(5), e19458 (2020)

    Article  Google Scholar 

  20. Di Donato, V., Patrignani, M., Squarcella, C.: Netfork: Mapping time to space in network visualization. In: Proceedings of the International Working Conference on Advanced Visual Interfaces, pp. 92–99, June 2016

    Google Scholar 

  21. Akinlolu, M., Haupt, T.C., Edwards, D.J., Simpeh, F.: A bibliometric review of the status and emerging research trends in construction safety management technologies. Int. J. Constr. Manag. 22(14), 2699–2711 (2022)

    Google Scholar 

  22. Smoot, M.E., Ono, K., Ruscheinski, J., Wang, P.L., Ideker, T.: Cytoscape 2.8: new features for data integration and network visualization. Bioinformatics 27(3), 431–432 (2011)

    Google Scholar 

  23. Gou, L., Zhang, X.L.: Treenetviz: revealing patterns of networks over tree structures. IEEE Trans. Visual Comput. Graph. 17(12), 2449–2458 (2011)

    Article  Google Scholar 

  24. Geissmann, Q., Garcia Rodriguez, L., Beckwith, E.J., Gilestro, G.F.: Rethomics: an R framework to analyse high-throughput behavioural data. PLoS ONE 14(1), e0209331 (2019)

    Article  Google Scholar 

  25. Garnier, E.M., Fouret, N., Descoins, M.: ViSiElse: an innovative R-package to visualize raw behavioral data over time. PeerJ 8, e8341 (2020)

    Article  Google Scholar 

  26. Ostinelli, E.G., et al.: Vitruvian plot: a visualisation tool for multiple outcomes in network meta-analysis. BMJ Ment. Health 25(e1), e65–e70 (2022)

    Google Scholar 

  27. Kiran, A., Crespillo, A.P., Rahimi, K.: Graphics and statistics for cardiology: data visualisation for meta-analysis. Heart 103(1), 19–23 (2017)

    Article  Google Scholar 

  28. Nevill, C.R., Cooper, N.J., Sutton, A.J.: A multifaceted graphical display, including treatment ranking, was developed to aid interpretation of network meta-analysis. J. Clin. Epidemiol. 157, 83–91 (2023)

    Google Scholar 

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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.

Author information

Authors and Affiliations

  1. Information School, University of Sheffield, Sheffield, UK

    Suvodeep Mazumdar

  2. Department of Computer Science, University of Sheffield, Sheffield, UK

    Fatima Maikore, Vitaveska Lanfranchi & Sneha Roychowdhury

  3. School of Health and Related Research, University of Sheffield, Sheffield, UK

    Richard Webber

  4. Department of Psychology, University of Sheffield, Sheffield, UK

    Harriet M. Baird, Muhammad Basir, Vyv Huddy, Paul Norman, Richard Rowe & Thomas L. Webb

  5. School of Psychology, Keele University, Keele, UK

    Alexander J. Scott

Authors
  1. Suvodeep Mazumdar
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  2. Fatima Maikore
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  3. Vitaveska Lanfranchi
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  4. Sneha Roychowdhury
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  5. Richard Webber
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  6. Harriet M. Baird
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  7. Muhammad Basir
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  8. Vyv Huddy
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  9. Paul Norman
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  10. Richard Rowe
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  11. Alexander J. Scott
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  12. Thomas L. Webb
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Corresponding author

Correspondence to Suvodeep Mazumdar .

Editor information

Editors and Affiliations

  1. University of Crete and Foundation for Research and Technology - Hellas (FORTH), Heraklion, Crete, Greece

    Constantine Stephanidis

  2. Foundation for Research and Technology - Hellas (FORTH), Heraklion, Crete, Greece

    Margherita Antona

  3. Foundation for Research and Technology - Hellas (FORTH), Heraklion, Crete, Greece

    Stavroula Ntoa

  4. University of Central Florida, Orlando, FL, USA

    Gavriel Salvendy

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© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

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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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  • DOI: https://doi.org/10.1007/978-3-031-35998-9_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-35997-2

  • Online ISBN: 978-3-031-35998-9

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