Designing for Digital Wellbeing: From Theory to Practice a Scoping Review
Table 2
A descriptive representation of the data extraction and classification sheet.
(1) Problematic issue
(2) Aim and sought outcome
(3) Foundation theory
Problem to be solved within the paper – can give an indication of whether wellbeing is addressed directly or indirectly
The purpose of the study is important to identify its context
To support information on the aim sought in this paper and whether it is supported by a theoretical foundation in psychology-some papers clearly state this, others you can infer from the discussion/intro
These information are useful for setting the contextual element
(4) Main parameter to measure/discuss/review
(5) Scale
(6) Framework/guidelines
To identify the representation of WB, if addressed directly, or the proxy used to represent it when addressed indirectly
The scale used to measure the main parameter(s)
To identify if this measuring is part of an existing framework or specific guidelines for a design process
Direct: intended to measure WB (or a representation for it, i.e, autonomy, connectedness, and happiness) Indirect: intended to measure problematic use of technology
Quan = quantitative/qualt = qualitative Sub = subjective/obj = objective
“Name of framework” or none (to identify if part of a well-established design process or not)
(7) Intervention
(8) Type of intervention
(9) Intervention orientation
A suggested artifact or tool proposed by the authors to test its accuracy and efficiency in solving a problem
The description of the intervention will help in understanding its orientation
To identify whether it is directed towards the users (i.e., educational booklets), or towards the design (adjusting/adding a design feature to a mobile application)
Name/and Indication if created by the research team
