Designing for Digital Wellbeing: From Theory to Practice a Scoping Review

<table class="table-group" id="tab5"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Appeared in:</td><td class="align_center">Framework</td><td class="align_center">Description</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">[<a href="/journals/hbet/2023/9924029/#B67" target="_blank">67</a>] Peters and Ahmadpour (2020)<br/>[<a href="/journals/hbet/2023/9924029/#B100" target="_blank">100</a>] Chaudhary et al. (2022)</td><td class="align_center">“Motivation, engagement and thriving in user experience” METUX model [<a href="/journals/hbet/2023/9924029/#B101" target="_blank">101</a>]</td><td class="align_center">Applying SDT within six spheres of technology experience (adoption, interface, task, behaviour, life, and society) that technology has impact on</td></tr><tr><td class="align_left">[<a href="/journals/hbet/2023/9924029/#B102" target="_blank">102</a>] Hakami and Leo (2021)</td><td class="align_center">IEEE P7010 well-being impact assessment [<a href="/journals/hbet/2023/9924029/#B103" target="_blank">103</a>]</td><td class="align_center">Context-based well-being metrics aimed to proactively safeguard and increase human well-being throughout the lifecycle of autonomous and intelligent systems (A/IS)</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Frameworks to measure DWB used in the reviewed papers.</div>

Human Behavior and Emerging Technologies

tab5

Table 5

Table 5: Designing for Digital Wellbeing: From Theory to Practice a Scoping Review 