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Gamified Adaptive Approach Bias Modification on Individuals With Methamphetamine Use History

NCT05794438 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 139

Last updated 2023-07-18

No results posted yet for this study

Summary

A randomized controlled trial will be conducted to investigate whether a proposed algorithm that adjusts the congruency ratio based on the user's performance and difficulty can enhance the effectiveness of approach bias modification. Methamphetamine users will be recruited and randomized into an algorithm group, a standard group, and a control group.

Conditions

  • Addiction, Substance

Interventions

BEHAVIORAL

Static Approach Bias Modification

In the static approach bias modification, users were instructed to swipe upward when they see portrait format images and swipe downward when they see landscape format images. A shrinking animation comes after swiping upward to simulate the visual effect of moving away (approach), and a growing animation comes after swiping downward to simulate the visual effect of moving towards (avoidance). Two types of images, namely drug-related and non-drug-related, were used in the training. The drug-related images were related to methamphetamine (methamphetamine crystals, powders, and paraphernalia), and the non-drug-related images were related to healthy lifestyles (wealth, sports, gourmet, family activities, etc).

BEHAVIORAL

Adaptive Approach Bias Modification

In the adaptive approach bias modification, users were instructed to swipe upward when they see portrait format images and swipe downward when they see landscape format images. A shrinking animation comes after swiping upward to simulate the visual effect of moving away (approach), and a growing animation comes after swiping downward to simulate the visual effect of moving towards (avoidance). Two types of images, namely drug-related and non-drug-related, were used in the training. The drug-related images were related to methamphetamine (methamphetamine crystals, powders, and paraphernalia), and the non-drug-related images were related to healthy lifestyles (wealth, sports, gourmet, family activities, etc). An algorithm continuously monitors the performance of the user and adjusts the ratio of congruent and incongruent trials accordingly to attain a desired difficulty curve.

Sponsors & Collaborators

  • Adai Technology (Beijing) Co., Ltd.

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
18 Years
Max Age
55 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-03-10
Primary Completion
2023-07-15
Completion
2023-07-15

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05794438 on ClinicalTrials.gov