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The most vulnerable are prone to use AI therapists: The role of attachment, epistemic trust, and mental health symptoms in acceptance of digital mental health interventions
16 references·1 citing·47 second hop
The most vulnerable are prone to use AI therapists: The role of attachment, epistemic trust, and mental health symptoms in acceptance of digital mental health interventions (2026)The most vulnerable are prone to use AI t…Engagement and retention in digital mental health interventions: a narrative review (2024)Engagement and retention in d…The Engagement Problem: a Review of Engagement with Digital Mental Health Interventions and Recommendations for a Path Forward (2023)The Engagement Problem: a Rev…Self-determination and attitudes toward artificial intelligence: Cross-national and longitudinal perspectives (2023)Self-determination and attitu…The General Attitudes towards Artificial Intelligence Scale (GAAIS): Confirmatory Validation and Associations with Personality, Corporate Distrust, and General Trust (2022)The General Attitudes towards…Development and validation of a self-report measure of epistemic trust (2021)Development and validation of…Barriers to and Facilitators of User Engagement With Digital Mental Health Interventions: Systematic Review (2021)Barriers to and Facilitators …Initial validation of the general attitudes towards Artificial Intelligence Scale (2020)Initial validation of the gen…Clinical review of user engagement with mental health smartphone apps: evidence, theory and improvements (2018)Clinical review of user engag…What we have changed our minds about: Part 1. Borderline personality disorder as a limitation of resilience (2017)What we have changed our mind…Three Problems With Current Digital Mental Health Research . . . and Three Things We Can Do About Them (2017)Three Problems With Current D…The experiences in close relationships—Relationship Structures Questionnaire: A method for assessing attachment orientations across relationships. (2011)The experiences in close rela…The use and reporting of cluster analysis in health psychology: A review (2005)The use and reporting of clus…User Acceptance of Information Technology: Toward A Unified View1 (2003)User Acceptance of Informatio…Trust and TAM in Online Shopping: An Integrated Model1 (2003)Trust and TAM in Online Shopp…Measuring the mental health status of the Norwegian population: A comparison of the instruments SCL-25, SCL-10, SCL-5 and MHI-5 (SF-36) (2003)Measuring the mental health s…The Hopkins Symptom Checklist (HSCL): A self-report symptom inventory (1974)The Hopkins Symptom Checklist…Generative AI as a de facto mental health provider: a policy brief and urgent call for regulation (2026)Generative AI as a de facto m…Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives (1999)Common Method Variance in IS Research: A Comparison of Alternative Approaches and a Reanalysis of Past Research (2006)Understanding knowledge sharing in virtual communities: An integration of social capital and social cognitive theories (2006)A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents (2007)Two Factor Index of Social Position (1957)The Social Desirability Variable in Personality Assessment and Research. 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References

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  • 2003Trust and TAM in Online Shopping: An Integrated Model18,618 cited
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224 cited
  • 2021Development and validation of a self-report measure of epistemic trust206 cited
  • 2023Self-determination and attitudes toward artificial intelligence: Cross-national and longitudinal perspectives205 cited
  • 2024Engagement and retention in digital mental health interventions: a narrative review186 cited
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    • 2026Generative AI as a de facto mental health provider: a policy brief and urgent call for regulation5 cited