Previously submitted to: Journal of Medical Internet Research (no longer under consideration since Jul 05, 2022)
Date Submitted: Feb 3, 2022
Warning: This is an author submission that is not peer-reviewed or edited.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.
Interpretations of Innovation: The intersection of technological advancement and psychosis
ABSTRACT
Background:
The prominence of technology in modern life cannot be understated. However, for some people these innovations or their related plausible advancements, can be associated with perceptual misinterpretation and/or incorporation into delusional concepts.
Objective:
This paper aims to explore the intersection of technological advancement and experiencing psychosis. We present a discussion about the explanation seeking that incorporates the concept, that for some people, of technological innovation becoming intertwined with delusional symptoms over the past 100 years.
Methods:
A longitudinal review of the literature was conducted to synthesise and draw these concepts together, mapping them to a timeline that aligns computing science and healthcare expertise and presents the significant technological changes of the modern era charted against mental health milestones and reports of technology-related delusions.
Results:
It is possible for technology to be incorporated in the content of delusions with evidence supporting a link between the rate of technological change, the content of delusions and the use of technology as a way of seeking an explanation. Moreover, analysis suggests a need to better understand how innovations may impact the mental health of people at risk of psychosis and other mental health conditions.
Conclusions:
Clinical experts and lived experience experts need to be informed about and collaborate with future research and development of technology, specifically artificial intelligence and machine learning, early in the development cycle. This concurs with other artificial intelligence research recommendations calling for design attention to the development and implementation of technological innovation applied in a mental health context.
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.