Wearable IoT health sensing beyond functional utility: Identity-expressive and hedonic determinants of user acceptance in intimate physiological monitoring devices — A sequential FA–ANP mixed-methods investigation with digital health policy implications - Summary - MDSpire
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Wearable IoT health sensing beyond functional utility: Identity-expressive and hedonic determinants of user acceptance in intimate physiological monitoring devices — A sequential FA–ANP mixed-methods investigation with digital health policy implications
To identify and prioritize the sensing material design characteristics that govern anticipated user acceptance of IMSU-enabled intimate physiological health monitoring devices and to determine the contribution of behavioral, hedonic, and identity-expressive acceptance pathways to overall adoption orientation.
Approach:
Research Framework: The study integrates three theoretical frameworks: TAM for functional adoption mechanisms, UTAUT2 for hedonic motivation, and HDTB for user response dimensions.
Methodology: A sequential FA–ANP mixed-methods design is employed to evaluate user acceptance.
Key Findings:
User acceptability is a critical driver of wearable health technology adoption.
Hedonic motivation is particularly relevant for intimate health monitoring devices.
Existing frameworks (TAM and UTAUT2) require domain-specific extensions for intimate health contexts to enhance their applicability.
Interpretation:
The study highlights the need for user-centered design evidence and regulatory benchmarks in the development of intimate health monitoring devices.
Limitations:
The existing literature lacks empirical accounts of how specific design characteristics shape acceptance outcomes.
There is a tripartite deficit affecting patients, clinicians, and policymakers due to insufficient user-centered design evidence.
Conclusion:
The research aims to fill the knowledge gap regarding user acceptance of wearable health technologies, particularly in intimate health monitoring contexts.
Nearly 90% of patients who met algorithmic criteria for postacute sequelae of SARS-CoV-2 infection had at least 1 chronic or potentially chronic condition requiring ongoing clinical management.