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Record W4402476608 · doi:10.2196/52294

Using Digital Art and Attachment Priming in a Web-Based Serious Game to Reduce Pain and Social Disconnection in Individuals With Chronic Pain and Loneliness: Randomized Controlled Trial

2024· article· en· W4402476608 on OpenAlexvenueno aff
Jorge Peña, Ian Koebner, William Weisman

Bibliographic record

VenueJMIR Serious Games · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicArt Therapy and Mental Health
Canadian institutionsnot available
Fundersnot available
KeywordsLonelinessDisconnectionPreprintPriming (agriculture)Randomized controlled trialSocial contactChronic painPsychologyPsychotherapistClinical psychologyMedicineWorld Wide WebPsychiatryDevelopmental psychologyComputer science

Abstract

fetched live from OpenAlex

Background: Arts engagement using virtual reality and serious games represent promising nonpharmacological self-management treatment approaches to chronic pain. This study is the first randomized controlled trial to explore the impact of a web-based serious game that simulated a visit to an art museum on pain and social disconnection among individuals living with chronic pain and loneliness. Objective: This study aimed to test the joint and separate effects of exposure to digital art and attachment figure priming on pain and social disconnection among individuals living with chronic pain and loneliness. Methods: This randomized controlled trial used a 2 (digital artwork present and absent) × 2 (secure attachment and avoidant attachment prime) repeated measures factorial web-based experimental design with a hanging control condition. Mediation and moderation analyses examined how feelings about the social world triggered by the artwork and frequency of museum visits impacted the effects of the interventions on pain and social disconnection. Results: The results are based on 308 participants. Mean age of the participants was 42.78 (SD 13.11; range 18-76) years, and 60.2% (n=186) were women. Posttest pain was lower than pretest pain for the artwork present (P=.001) and absent (P=.001) conditions. Similarly, posttest pain was lower than pretest pain for the secure (P=.001) and avoidant (P=.001) attachment priming conditions. Relative to the control group, artwork present (P=.001) and absent (P=.01) conditions had decreased posttest pain. The secure (P=.001) and avoidant (P=.001) attachment priming conditions also had lower posttest pain scores relative to the control group. Moreover, social disconnection decreased from pre- to posttest for both the artwork present (P=.04) and the secure attachment priming (P=.002) conditions. Relative to the control group, posttest social disconnection was lower for the artwork present (P=.02) and secure attachment priming condition (P=.03). The artwork-secure attachment (P=.001) and artwork-avoidant attachment (P=.006) conditions had lower posttest pain scores compared with the control group. Social disconnection decreased from pre- to posttest for the artwork-secure attachment (P=.01) and no artwork-secure attachment (P=.05) conditions. Posttest social disconnection was lower for the artwork-secure attachment condition compared with the control group (P=.04). Positive feelings about the social world triggered by artwork exposure and frequency of museum visits in the last year played a mediating and moderating role in these effects. Positive feelings about the social world were associated with decreased pain (B=-.53) and social disconnection (B=-.25), and these effects operated on individuals exposed to digital artwork at low, medium, and high frequency of physical museum visits. Conclusions: Relative to a control group, visiting a web-based art museum reliably decreased pain and social disconnection among individuals living with chronic pain and loneliness. Engaging with digital artwork that triggers positive feelings about the social world may mitigate the burden of chronic pain.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.261
Threshold uncertainty score0.744

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.023
GPT teacher head0.304
Teacher spread0.281 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2024
Admission routes1
Has abstractyes

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