Paper Type
Complete
Abstract
User engagement in digital health interventions is multidimensional, yet its measurement remains fragmented and is often reduced to only behavioral use. This paper addresses this problem in two ways. First, using a literature-based qualitative synthesis, it defines intervention engagement as goal-directed, prescribed participation in intervention tasks designed to achieve health objectives through intervention content, and distinguishes it from system engagement. Second, using the taxonomy development method of Nickerson et al. (2013), it develops a multidimensional taxonomy of user engagement measurement in digital health interventions. The taxonomy classifies measurement attributes across behavioral, cognitive, and affective dimensions, as well as antecedents and consequences, while explicitly distinguishing between system engagement and intervention engagement. By organizing engagement measurement across five components and two levels, the taxonomy supports more comprehensive assessment in digital health.
Paper Number
1891
Recommended Citation
Zhang, Lidan; Tulu, Bengisu; Jewer, Jennifer; Djamasbi, Soussan; and Kuika Watat, Josue, "When Use Is Not Enough: Intervention Engagement and a User Engagement Measurement Taxonomy in Digital Health" (2026). AMCIS 2026 Proceedings. 31.
https://aisel.aisnet.org/amcis2026/conftheme/conftheme/31
When Use Is Not Enough: Intervention Engagement and a User Engagement Measurement Taxonomy in Digital Health
User engagement in digital health interventions is multidimensional, yet its measurement remains fragmented and is often reduced to only behavioral use. This paper addresses this problem in two ways. First, using a literature-based qualitative synthesis, it defines intervention engagement as goal-directed, prescribed participation in intervention tasks designed to achieve health objectives through intervention content, and distinguishes it from system engagement. Second, using the taxonomy development method of Nickerson et al. (2013), it develops a multidimensional taxonomy of user engagement measurement in digital health interventions. The taxonomy classifies measurement attributes across behavioral, cognitive, and affective dimensions, as well as antecedents and consequences, while explicitly distinguishing between system engagement and intervention engagement. By organizing engagement measurement across five components and two levels, the taxonomy supports more comprehensive assessment in digital health.
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