201. Artificial Intelligence-Based Chatbot for Anxiety and Depression in University Students: Pilot Randomized Controlled Trial
- Author
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Eduardo L. Bunge, Angela Joerin, Michiel Rauws, Maria Carolina Klos, Viviana Noemí Lemos, and Milagros Escoredo
- Subjects
Wilcoxon signed-rank test ,medicine.medical_treatment ,Population ,Psychological intervention ,Medicine (miscellaneous) ,Health Informatics ,chatbots ,law.invention ,Randomized controlled trial ,law ,Psychoeducation ,medicine ,CONVERSATIONAL AGENTS ,ANXIETY ,education ,Depression (differential diagnoses) ,purl.org/becyt/ford/5.1 [https] ,conversational agents ,education.field_of_study ,Original Paper ,purl.org/becyt/ford/5 [https] ,business.industry ,CHATBOTS ,college students ,DEPRESSION ,artificial intelligence ,anxiety ,Mental health ,Computer Science Applications ,MENTAL HEALTH ,depression ,Anxiety ,ARTIFICIAL INTELLIGENCE ,Artificial intelligence ,medicine.symptom ,Psychology ,business ,COLLEGE STUDENTS ,mental health - Abstract
Background: The use of artificial intelligence based chatbots as an instrument of psychological intervention is emerging, however no studies have been reported in Latin America. Objective: The objective of the present study was to evaluate the viability, acceptability and potential impact of Tess, a chatbot, on symptoms of depression and anxiety in university students. Methodology: This was a pilot randomized controlled trial. The experimental condition used Tess for eight weeks and the control condition was assigned to a psychoeducation book on depression. Comparisons were conducted using Mann-Whitney U and Wilcoxon tests for depression symptoms, and Independent and Paired Samples t Tests to analyze anxiety symptoms. Results: The initial sample consisted of 181 Argentinian college students (87.2% female) ages 18 to33. A total of 39 (39%) participants in the experimental condition and 34 (41%) in the control group, provided data at week eight. There was an average of 472 (SD=249.52) messages exchanged and an average of 116 (SD=73.87) of the messages were sent from the user in response to Tess. A higher number of messages exchanged with Tess was associated with positive feedback (F2, 36=4.37; p =.02). No significant intergroup differences from baseline to week eight between the experimental group and the control group were found for depression and anxiety symptoms. However, significant intragroup differences demonstrated that the experimental group showed a significant decrease in anxiety symptoms; no differences were observed for the control group. No significant differences were found for depressive symptoms within the groups. Conclusions: Students engaged a considerable amount of time exchanging messages with Tess and positive feedback was associated with higher numbers of messages exchanged. The initial results show promising evidence for the usability and acceptability of Tess in the Argentinian population. Research on chatbots is still in its initial stages and further research is needed. Fil: Klos, María Carolina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Centro Interdisciplinario de Investigaciones en Psicología Matemática y Experimental "Dr. Horacio J. A. Rimoldi". Grupo Vinculado CIIPME - Entre Ríos - Centro Interdisciplinario de Investigaciones en Psicología Matemática y Experimental "Dr. Horacio J. A. Rimoldi"; Argentina Fil: Escoredo, Milagros. X2ai Inc.; Estados Unidos Fil: Joerin, Angie. X2ai Inc.; Estados Unidos Fil: Lemos, Viviana Noemí. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Centro Interdisciplinario de Investigaciones en Psicología Matemática y Experimental "Dr. Horacio J. A. Rimoldi". Grupo Vinculado CIIPME - Entre Ríos - Centro Interdisciplinario de Investigaciones en Psicología Matemática y Experimental "Dr. Horacio J. A. Rimoldi"; Argentina Fil: Rauws, Michiel. X2ai Inc.; Estados Unidos Fil: Bunge, Eduardo L.. Palo Alto University; Estados Unidos
- Published
- 2020