‘reward/punishment’ (drawing on our previous work in this area (Lyngs 2018 a)). 2013 Orji and Moffatt 2018), with the prior expectation that the relevantįeatures would be usefully classified as subcategories of the mainįeature clusters ‘block/removal’, ‘self-tracking’, ‘goal advancement’ and Iteratively developed a coding sheet of feature categories (cf. Stawarz, Cox, and Blandford 2014, 2015 Stawarz et al. 4.3 Using the model directly to guide intervention research and designįollowing similar reviews, we coded functionality based on theĭescriptions, screenshots, and videos available on a tool’s store page.4.2 Gaps identified by the dual systems model.4.1 Research opportunities prompted by widely used or theoretically interesting design features.3.2.4 Mapping identified tool features to theory.3.1.3 Identifying Apps and Extensions to Analyse.3.1.2 Identifying Potentially Relevant Apps and Extensions.3.1.1 Initial Keyword Search and Data Clean Up.3 A review and analysis of current digital self-control tools.2.5 Self-control limitations and the Expected Value of Control.2 An Integrative Dual Systems Approach to Digital Self-Control.1.2.2 Digital Behaviour Change Interventions.1.1 Evidence on Self-Control Challenges.
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