Evidence map›Paper›PMID 33780323›Full record

ArticleAJOB neuroscience

Is Virtually Everything Possible? The Relevance of Ethics and Human Rights for Introducing Extended Reality in Forensic Psychiatry.

Sjors Ligthart, Gerben Meynen, Nikola Biller-Andorno, Tijs Kooijmans, Philipp Kellmeyer

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Article in AJOB neuroscience. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Sjors LigthartTilburg University.ORCID 0000-0001-6458-4058
Gerben MeynenUtrecht University and Vrije Universiteit Amsterdam.
Nikola Biller-AndornoInstitute of Biomedical Ethics and History of Medicine (IBME), University of Zurich.
Tijs KooijmansTilburg University.
Philipp KellmeyerInstitute of Biomedical Ethics and History of Medicine (IBME), University of Zurich.ORCID 0000-0001-5538-373X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extended Reality (XR) systems, such as Virtual Reality (VR) and Augmented Reality (AR), provide a digital simulation either of a complete environment, or of particular objects within the real world. Today, XR is used in a wide variety of settings, including gaming, design, engineering, and the military. In addition, XR has been introduced into psychology, cognitive sciences and biomedicine for both basic research as well as diagnosing or treating neurological and psychiatric disorders. In the context of XR, the simulated 'reality' can be controlled and people may safely learn to cope with their feelings and behavior. XR also enables to simulate environments that cannot easily be accessed or created otherwise. Therefore, Extended Reality systems are thought to be a promising tool in the resocialization of criminal offenders, more specifically for purposes of risk assessment and treatment of forensic patients. Employing XR in forensic settings raises ethical and legal intricacies which are not raised in case of most other healthcare applications. Whereas a variety of normative issues of XR have been discussed in the context of medicine and consumer usage, the debate on XR in forensic settings is, as yet, straggling. By discussing two general arguments in favor of employing XR in criminal justice, and two arguments calling for caution in this regard, the present paper aims to broaden the current ethical and legal debate on XR applications to their use in the resocialization of criminal offenders, mainly focusing on forensic patients.

Indexed as

CriminalsMental DisordersCriminal LawForensic PsychiatryHuman RightsHumansBioethicscriminalitylawmental healthtechnology

Identifiers

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.