Measuring Alliance Toward Embodied Virtual Therapists in the Era of Automated Treatments With the Virtual Therapist Alliance Scale (VTAS): Development and Psychometric Evaluation
Overview
Authors
Affiliations
Background: Automated virtual reality exposure therapies (VRETs) are self-help treatments conducted by oneself and supported by a virtual therapist embodied visually and/or with audio feedback. This simulates many of the nonspecific relational elements and common factors present in face-to-face therapy and may be a means of improving adherence to and efficacy of self-guided treatments. However, little is known about alliance toward the virtual therapist, despite alliance being an important predictor of treatment outcome.
Objective: In this study, we aimed to evaluate the first alliance instrument developed for use with embodied virtual therapists in an automated treatment format-the Virtual Therapist Alliance Scale (VTAS)-by (1) assessing its psychometric properties, (2) verifying the dimensionality of the scale, and (3) determining the predictive ability of the scale with treatment outcome.
Methods: A psychometric evaluation and exploratory factor analysis of the VTAS was conducted using data from two samples of spider-fearful patients treated with VRET and the help of an embodied, voice-based virtual therapist (n=70). Multiple regression models and bivariate correlations were used to assess the VTAS relationship with treatment outcome, according to self-reported fear and convergence with presence and user-friendliness process measures.
Results: The VTAS showed a sound two-factor solution composed of a primary factor covering task, goal, and copresence; adequate internal consistency; and good convergent validity, including moderate correlation (r=.310, P=.01) with outcomes over follow-up.
Conclusions: These preliminary results suggest that alliance toward a virtual therapist is a significant predictor of treatment outcome, favors the importance of a task-goal over bond-factor, and should be explored in studies with larger sample sizes and in additional forms of embodiment.
Johnson C, Egan S, Carlbring P, Shafran R, Wade T Internet Interv. 2024; 38:100795.
PMID: 39717697 PMC: 11663973. DOI: 10.1016/j.invent.2024.100795.
Mental health in the virtual world: Are we ready for the metaverse era?.
Mamede T, Lordelo P World J Methodol. 2024; 14(4):95064.
PMID: 39712569 PMC: 11287544. DOI: 10.5662/wjm.v14.i4.95064.
Mental health in the virtual world: Challenges and opportunities in the metaverse era.
Lopez Del Hoyo Y, Elices M, Garcia-Campayo J World J Clin Cases. 2024; 12(17):2939-2945.
PMID: 38898837 PMC: 11185398. DOI: 10.12998/wjcc.v12.i17.2939.
Goldberg S, Jiwani Z, Bolt D, Riordan K, Davidson R, Hirshberg M Clin Psychol Sci. 2024; 12(3):517-525.
PMID: 38863442 PMC: 11164554. DOI: 10.1177/21677026231184890.
Wei S, Freeman D, Rovira A Sci Rep. 2023; 13(1):11517.
PMID: 37460586 PMC: 10352334. DOI: 10.1038/s41598-023-38499-7.