Well-being's predictive value a gamified approach to managing smart communities

Margeret Hall, Simon Caton, Christof Weinhardt

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

Well-being is a multifaceted concept, having intellectual origins in philosophy, psychology, economics, political science, and other disciplines. Its presence is correlated with a variety of institutional and business critical indicators. To date, methods to assess well-being are performed infrequently and superficially; resulting in highly aggregated observations. In this paper, we present well-being as a predictive entity for the management of a smart community. Our vision is a low latency method for the observation and measurement of well-being within a community or institution that enables different resolutions of data, e.g. at the level of an individual, a social or demographic group, or an institution. Using well-being in this manner enables realistic, faster and less expensive data collection in a smart system. However, as the data needed for assessing well-being is highly sensitive personal information, constituents require incentives and familiar settings to reveal this information, which we establish with Facebook and gamification. To evaluate the predictive value of well-being, we conducted a series of surveys to observe different self-reported psychological aspects of participants. Our key findings were that neuroticism and extroversion seem to have the highest predictive value of self-reported well-being levels. This information can be used to create expected trends of well-being for smart community management.

Original languageEnglish (US)
Title of host publicationOnline Communities and Social Computing - 5th International Conference, OCSC 2013, Held as Part of HCI International 2013, Proceedings
Pages13-22
Number of pages10
DOIs
StatePublished - Aug 5 2013
Event5th International Conference on Online Communities and Social Computing, OCSC 2013, Held as Part of 15th International Conference on Human-Computer Interaction, HCI International 2013 - Las Vegas, NV, United States
Duration: Jul 21 2013Jul 26 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8029 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other5th International Conference on Online Communities and Social Computing, OCSC 2013, Held as Part of 15th International Conference on Human-Computer Interaction, HCI International 2013
CountryUnited States
CityLas Vegas, NV
Period7/21/137/26/13

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Keywords

  • Smart community management
  • gamification
  • human flourishing
  • social computing
  • well-being

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Hall, M., Caton, S., & Weinhardt, C. (2013). Well-being's predictive value a gamified approach to managing smart communities. In Online Communities and Social Computing - 5th International Conference, OCSC 2013, Held as Part of HCI International 2013, Proceedings (pp. 13-22). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8029 LNCS). https://doi.org/10.1007/978-3-642-39371-6-2

Well-being's predictive value a gamified approach to managing smart communities. / Hall, Margeret; Caton, Simon; Weinhardt, Christof.

Online Communities and Social Computing - 5th International Conference, OCSC 2013, Held as Part of HCI International 2013, Proceedings. 2013. p. 13-22 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8029 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hall, M, Caton, S & Weinhardt, C 2013, Well-being's predictive value a gamified approach to managing smart communities. in Online Communities and Social Computing - 5th International Conference, OCSC 2013, Held as Part of HCI International 2013, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8029 LNCS, pp. 13-22, 5th International Conference on Online Communities and Social Computing, OCSC 2013, Held as Part of 15th International Conference on Human-Computer Interaction, HCI International 2013, Las Vegas, NV, United States, 7/21/13. https://doi.org/10.1007/978-3-642-39371-6-2
Hall M, Caton S, Weinhardt C. Well-being's predictive value a gamified approach to managing smart communities. In Online Communities and Social Computing - 5th International Conference, OCSC 2013, Held as Part of HCI International 2013, Proceedings. 2013. p. 13-22. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-39371-6-2
Hall, Margeret ; Caton, Simon ; Weinhardt, Christof. / Well-being's predictive value a gamified approach to managing smart communities. Online Communities and Social Computing - 5th International Conference, OCSC 2013, Held as Part of HCI International 2013, Proceedings. 2013. pp. 13-22 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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