Investigating user intentions regarding diabetes technology adoption with theory-based models: Application at an example of self-management of hypoglycemia

Abstract

The aim of this research is to demonstrate how a theory-based model helps to investigate user intentions in early stages of product development. We conducted a quantitative survey based on behavioral reasoning theory with 150 individuals with Type 1 diabetes. The data was analyzed with a structural equation model. The results show that behavioral reasoning theory provides a relevant means to analyze and identify relevant reasons for the intended behavior using a causal model. On the applied level, they have a significant effect on the intention to adopt the system presented via the global motives attitude and social norms while reasons against the behavior have no effect. Behavioral reasoning theory shows to be relevant to explain the intention for an initial evaluation of technology-based solutions. Applied to the exemplary solution, the conclusion is that especially social norms should be considered with the adoption of new systems. The theory should be used with other technology-based solutions to understand important causal factors with adoption behavior in early conceptual stages. • Theoretical models are required to analyze user intentions for novel diabetes systems. • We are first in showing how behavioural reasoning theory can be used to analyze user intentions. • The article demonstrates the use of the theory at the example of an innovative system to support hypoglycaemia. • The results show the relevance of behavioural reasoning theory at the example of a novel system. • We highlight the increasing awareness of theory-based analysis of behavioural aspects.