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Las percepciones de los adolescentes de un chatbot de seguridad en línea: encuesta estudio estudio estudio
Meriel Charles1, James D Sauer1, Erin Roehrer2
1School of Psychological Sciences, University of Tasmania, Hobart, Australia.
JMIR human factors
|February 12, 2026
Resumen
Los chatbots pueden ayudar a los adolescentes a acceder a recursos de seguridad en línea. Construir la confianza de los usuarios en estas herramientas es crucial para que puedan conectar efectivamente a los jóvenes con servicios de apoyo vitales.
Área de la Ciencia:
- Salud mental de los adolescentes.
- Interacción humano-computadora es la interacción entre el hombre y la computadora.
- Seguridad en línea seguridad en línea.
Sus antecedentes:
- Los adolescentes se enfrentan a riesgos significativos en línea, incluido el material ilegal, el acoso cibernético y la sextorsión.
- Las líneas de ayuda existentes ofrecen apoyo para los daños en línea y fuera de línea que enfrentan los jóvenes.
Objetivo del estudio:
- Evaluar un prototipo de chatbot como herramienta complementaria para los adolescentes en riesgo de daños en línea.
- Evaluar la confianza del usuario en el chatbot, centrándose en la usabilidad y el valor percibido de su soporte.
Principales métodos:
- 224 adolescentes (edad media de 16,8 años) interactuaron con chatbots conversacionales y basados en menús.
- La confianza del usuario se midió por la usabilidad percibida y la utilidad de los recursos de soporte proporcionados.
Principales resultados:
- La mayoría de los participantes (63%) estaban dispuestos a hacer clic en los enlaces de soporte recomendados por el chatbot.
- Una mayor confianza en los chatbots está fuertemente correlacionada con hacer clic en los enlaces de soporte y reportar decisiones positivas.
- Ambos tipos de chatbot mostraron una confianza y efectividad percibidas similares.
Conclusiones:
- Los chatbots muestran potencial como un recurso adicional para los adolescentes que buscan apoyo de salud mental en línea.
- El establecimiento de la confianza del usuario es un factor crítico para el éxito de los chatbots en el tratamiento de daños en línea.
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