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Currently accepted at: JMIR Formative Research

Date Submitted: Feb 6, 2026
Open Peer Review Period: Feb 8, 2026 - Mar 12, 2026
Date Accepted: Mar 24, 2026
(closed for review but you can still tweet)

This paper has been accepted and is currently in production.

It will appear shortly on 10.2196/93029

The final accepted version (not copyedited yet) is in this tab.

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Enhancing the Predictive Value of Formative Evaluation in XR Adoption: Addressing the Embodiment Gap

  • José Ferrer Costa; 
  • Manuel Armayones Ruiz

ABSTRACT

Formative evaluation is widely used in implementation science to anticipate barriers and facilitators prior to the deployment of health technologies, typically relying on stakeholders’ reported beliefs collected before real-world exposure. This approach has proved informative for many digital health tools, but its application to immersive and embodied technologies such as extended reality (XR) warrants closer scrutiny. XR interventions delivered through head-mounted displays depend on spatial perception and sensorimotor engagement, meaning that implementation-relevant properties, including comfort, perceived intrusiveness, safety, and workflow disruption, often become apparent only through direct interaction. At the same time, large segments of the healthcare workforce remain XR-naïve, such that pre-use judgements are frequently shaped by anticipation rather than experience. Drawing on literature from implementation science, grounded cognition, and human–computer interaction, this viewpoint argues that perception-based formative evaluation, when applied through frameworks developed for screen-based technologies, is vulnerable to misclassifying barriers and facilitators in XR adoption. Rather than questioning formative evaluation as a methodological approach, we identify a boundary condition for its interpretability in experience-dependent technologies and propose a pragmatic refinement: incorporating brief experiential familiarisation before eliciting stakeholder perceptions to strengthen early-stage assessment and improve alignment with real-world implementation decisions.


 Citation

Please cite as:

Ferrer Costa J, Armayones Ruiz M

Enhancing the Predictive Value of Formative Evaluation in XR Adoption: Addressing the Embodiment Gap

JMIR Preprints. 06/02/2026:93029

DOI: 10.2196/preprints.93029

URL: https://preprints.jmir.org/preprint/93029

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