Formalization of computational human behavior models for contextual persuasive technology

Tylar Murray, Eric Hekler, Donna Spruijt-Metz, Daniel Rivera, Andrew Raij

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

2 Scopus citations

Abstract

In theory, Just-in-Time Adaptive Interventions (JiTAIs) are a persuasive technology which promise to empower personal behavioral goals by optimizing treatments to situational context and user behaviors. This paper outlines open challenges facing the development of JiTAIs and discusses the use of modeling as a common ground between behavioral scientists designing interventions and software engineers building applications. We propose that Computational Human Behavior Modeling (CHBM) has the potential to (1) help create better behavioral theories, (2) enable real-time ideographic intervention optimization, and (3) facilitate more robust data analysis techniques. First, a small set of definitions are presented to clarify ambiguities and mismatches in terminology between these two areas. Next, existing modeling concepts are used to formalize a modeling paradigm designed to fit the needs JiTAI development methodology. Last, potential benefits and open challenges of this modeling paradigm are highlighted through examination of the model-development methodology, run-time user modeling, and modelbased data analysis.

Original languageEnglish (US)
Title of host publicationPersuasive Technology - 11th International Conference, PERSUASIVE 2016, Proceedings
PublisherSpringer Verlag
Pages150-161
Number of pages12
Volume9638
ISBN (Print)9783319315096
DOIs
StatePublished - 2016
Event11th International Conference on Persuasive Technology, PERSUASIVE 2016 - Salzburg, Austria
Duration: Apr 5 2016Apr 7 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9638
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other11th International Conference on Persuasive Technology, PERSUASIVE 2016
CountryAustria
CitySalzburg
Period4/5/164/7/16

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Keywords

  • Adaptive
  • Computational human behavior modeling
  • JiTAI
  • Just-in-time
  • Modeling
  • Persusasive

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Murray, T., Hekler, E., Spruijt-Metz, D., Rivera, D., & Raij, A. (2016). Formalization of computational human behavior models for contextual persuasive technology. In Persuasive Technology - 11th International Conference, PERSUASIVE 2016, Proceedings (Vol. 9638, pp. 150-161). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9638). Springer Verlag. https://doi.org/10.1007/978-3-319-31510-2_13