数字咨询中的信任、焦虑依恋和会话式人工智能采用意图:初步横断面问卷研究。

JMIR AI Pub Date : 2025-04-22 DOI:10.2196/68960
Xiaoli Wu, Kongmeng Liew, Martin J Dorahy
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引用次数: 0

摘要

背景:会话人工智能(CAI)越来越多地应用于各种咨询环境中,以提供心理治疗,提供心理教育内容,并提供陪伴或情感援助等支持。研究表明,如果谨慎处理相关风险,CAI有可能有效解决心理健康问题。与传统的面对面治疗相比,它可以为更广泛的人群提供心理健康支持,而且反应速度更快,成本更低。尽管人工智能在心理健康支持方面有许多优势,但潜在用户采用和使用人工智能来支持自己心理健康的意愿可能有所不同。目的:本研究特别关注人工智能和依恋类型的性格信任,并探讨它们与个体采用人工智能进行心理健康支持的意图之间的关系。方法:对239名美国成年人进行横断面调查。首先评估了参与者的依恋类型,然后展示了一个关于CAI使用的小插图,之后调查了他们对CAI咨询的性格信任和随后的采用意图。参与者以前没有使用CAI进行心理健康支持的数字咨询。结果:人工智能中的性格信任是人工智能采用意向的重要预测因子(p)。结论:较高的性格信任可能导致更强的人工智能采用意向,而较高的依恋焦虑也可能与更高的人工智能咨询采用相关。需要进一步研究使用者的依恋风格和性格信任,以了解采用CAI咨询的个体差异,从而提高CAI驱动的咨询服务和定制干预的安全性和有效性。试验注册:开放科学框架;https://osf.io/c2xqd。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Trust, Anxious Attachment, and Conversational AI Adoption Intentions in Digital Counseling: A Preliminary Cross-Sectional Questionnaire Study.

Background: Conversational artificial intelligence (CAI) is increasingly used in various counseling settings to deliver psychotherapy, provide psychoeducational content, and offer support like companionship or emotional aid. Research has shown that CAI has the potential to effectively address mental health issues when its associated risks are handled with great caution. It can provide mental health support to a wider population than conventional face-to-face therapy, and at a faster response rate and more affordable cost. Despite CAI's many advantages in mental health support, potential users may differ in their willingness to adopt and engage with CAI to support their own mental health.

Objective: This study focused specifically on dispositional trust in AI and attachment styles, and examined how they are associated with individuals' intentions to adopt CAI for mental health support.

Methods: A cross-sectional survey of 239 American adults was conducted. Participants were first assessed on their attachment style, then presented with a vignette about CAI use, after which their dispositional trust and subsequent adoption intentions toward CAI counseling were surveyed. Participants had not previously used CAI for digital counseling for mental health support.

Results: Dispositional trust in artificial intelligence emerged as a critical predictor of CAI adoption intentions (P<.001), while attachment anxiety (P=.04), rather than avoidance (P=.09), was found to be positively associated with the intention to adopt CAI counseling after controlling for age and gender.

Conclusions: These findings indicated higher dispositional trust might lead to stronger adoption intention, and higher attachment anxiety might also be associated with greater CAI counseling adoption. Further research into users' attachment styles and dispositional trust is needed to understand individual differences in CAI counseling adoption for enhancing the safety and effectiveness of CAI-driven counseling services and tailoring interventions.

Trial registration: Open Science Framework; https://osf.io/c2xqd.

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