  The design and evaluation of assisting technologies to support behavior
change processes have become an essential topic within the field of
human-computer interaction research in general and the field of immersive
intervention technologies in particular. The mechanisms and success of behavior
change techniques and interventions are broadly investigated in the field of
psychology. However, it is not always easy to adapt these psychological
findings to the context of immersive technologies. The lack of theoretical
foundation also leads to a lack of explanation as to why and how immersive
interventions support behavior change processes. The Behavioral Framework for
immersive Technologies (BehaveFIT) addresses this lack by (1) presenting an
intelligible categorization and condensation of psychological barriers and
immersive features, by (2) suggesting a mapping that shows why and how
immersive technologies can help to overcome barriers, and finally by (3)
proposing a generic prediction path that enables a structured, theory-based
approach to the development and evaluation of immersive interventions. These
three steps explain how BehaveFIT can be used, and include guiding questions
and one example for each step. Thus, the present paper contributes to guidance
for immersive intervention design and evaluation, showing that immersive
interventions support behavior change processes and explain and predict 'why'
and 'how' immersive interventions can bridge the intention-behavior-gap.
