Background
Attentional bias modification (ABM) aims to reduce anxiety by attenuating bias towards threatening information. The current study incorporated virtual reality (VR) technology and 3-dimensional stimuli with a person-identity-matching (PIM) task to evaluate the effects of a VR-based ABM training on attentional bias and anxiety symptoms.
Methods
One hundred participants with elevated social anxiety were randomised to four training groups. Attentional bias was assessed at pre- and post-training, and anxiety symptoms were assessed at pre-training, post-training, 1-week follow-up, and 3-month follow-up.
Results
Change in anxiety did not correlate with change in bias (
r
= −0.08). A repeated-measures ANOVA showed no significant difference in bias from pre- to post-ABM, or between groups. For anxiety symptoms, a linear mixed-effects model analysis revealed a significant effect of time. Participants showed reduction in anxiety score at each successive assessment (
p
< .001, Nagelkerke's pseudo
r
2
= 0.65). However, no other significant main effect or interactions were found. A clinically significant change analysis revealed that 4% of participants were classified as ‘recovered’ at 3-month follow-up.
Conclusions
A single session of VR-based PIM task did not change attentional bias. The significant reduction in anxiety was not specific to active training, and the majority of participants remained clinically unchanged.
BackgroundAttentional bias modification (ABM) aims to reduce anxiety by attenuating bias toward threatening information. The current study incorporated virtual reality (VR) technology and three-dimensional stimuli with a dot-probe task to evaluate the effects of a VR-based ABM training on attentional bias and anxiety symptoms.MethodsA total of 100 participants were randomized to four training groups. Attentional bias was assessed at pre- and post-training, and anxiety symptoms were assessed at pre-training, post-training, 1-week follow-up, and 3-months follow-up.ResultsChange in anxiety did not correlate with change in bias (p = 0.24). A repeated-measures ANOVA showed no significant difference in bias from pre- to post-ABM (p = 0.144), or between groups (p = 0.976). For anxiety symptoms, a linear mixed-effects model analysis revealed a significant effect of time. Participants showed reduction in anxiety score at each successive assessment (p < 0.001). However, no other significant main effect or interactions were found. A clinically significant change analysis revealed that 9% of participants were classified as ‘recovered’ at 3-months follow-up.ConclusionA single session of VR-based ABM did not change attentional bias. The significant reduction in anxiety was not specific to active training, and the majority of participants remained clinically unchanged.
The use of virtual reality (VR) and mixed reality (MR) technology in clinical psychology is growing. Efficacious VR-based treatments for a variety of disorders have been developed. However, the field of technology-assisted psychotherapy is constantly changing with the advancement in technology. Factors such as interdisciplinary collaboration, consumer familiarity and adoption of VR products, and progress in clinical science all need to be taken into consideration when integrating virtual technologies into psychotherapies. We aim to present an overview of current expert opinions on the use of virtual technologies in the treatment of anxiety and stress-related disorders. An anonymous survey was distributed to a select group of researchers and clinicians, using an analytic framework known as Strengths, Weaknesses, Opportunities, and Threats (SWOT). Overall, the respondents had an optimistic outlook regarding the current use as well as future development and implementation of technology-assisted interventions. VR and MR psychotherapies offer distinct advantages that can overcome shortcomings associated with traditional therapy. The respondents acknowledged and discussed current limitations of VR and ARTICLE HISTORY
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