Usability Testing of a Multi-Level Modeling Framework for Just-in-Time Adaptive Interventions (JITAIs) in Mobile Health

Sebastian Gruber, Bernd Neumayr, Daniela Wurhofer, Jan David Smeddinck

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

Abstract

The JITAI is an intervention design to support health behavior change. We designed a multi-level modeling framework for JITAIs and developed a proof-of-concept prototype (POC). This study aimed at investigating the usability of the POC by conducting two usability tests with students. We assessed the usability and the students’ workload and success in completing tasks. In the second usability test, however, they faced difficulties in completing the tasks. We will work on hiding the complexity of the framework as well as improving the frontend and the instructions.
Original languageEnglish
Title of host publicationProceedings of the 17th Annual Conference on Health Informatics meets Digital Health (dHealth 2023), May 16-17, 2023, Vienna, Austria, Studies in Health Technology and Informatics
Editors B. Pfeifer et al.
PublisherIOS Press & AIT Austrian Institute of Technology
Pages121-122
Number of pages2
Volume301
ISBN (Print)978-1-64368-386-7
DOIs
Publication statusPublished - May 2023

Publication series

NameStudies in Health Technology and Informatics

Fields of science

  • 102 Computer Sciences
  • 102010 Database systems
  • 102015 Information systems
  • 102016 IT security
  • 102025 Distributed systems
  • 102027 Web engineering
  • 102028 Knowledge engineering
  • 102030 Semantic technologies
  • 102033 Data mining
  • 102035 Data science
  • 509026 Digitalisation research
  • 502050 Business informatics
  • 502058 Digital transformation
  • 503008 E-learning

JKU Focus areas

  • Digital Transformation

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