Event Type
Research Presentation
Academic Department
Psychology
Location
Dana Science Building, 2nd floor
Start Date
25-4-2025 1:00 PM
End Date
25-4-2025 2:30 PM
Description
Under the direction of Dr. Bonnie Bowers and Dr. Richard Michalski
This study investigates the relationships among AI chatbot usage (e.g., ChatGPT), attitudes toward AI, Big Five personality traits, depression, anxiety, and support-seeking behaviors in college students. While prior research suggests that personality influences attitudes toward AI (Park & Woo, 2022; Stein et al., 2024; Wang et al., 2024), less is known about how these traits shape actual usage patterns. This ongoing study employs a correlational design, with college students completing surveys to explore these associations. Given the growing shortage of mental health professionals, AI chatbots have shown potential in alleviating short-term symptoms of depression and anxiety (Dosovitsky et al., 2020; Zhong et al., 2024). However, limited research has examined how individuals use these tools for self-help. By replicating and extending previous findings, this study aims to offer insights that may inform the development of AI-based interventions to support student well-being and academic success.
AI Chatbot User Characteristics: Personality, Mental Health, and Attitudes
Dana Science Building, 2nd floor
Under the direction of Dr. Bonnie Bowers and Dr. Richard Michalski
This study investigates the relationships among AI chatbot usage (e.g., ChatGPT), attitudes toward AI, Big Five personality traits, depression, anxiety, and support-seeking behaviors in college students. While prior research suggests that personality influences attitudes toward AI (Park & Woo, 2022; Stein et al., 2024; Wang et al., 2024), less is known about how these traits shape actual usage patterns. This ongoing study employs a correlational design, with college students completing surveys to explore these associations. Given the growing shortage of mental health professionals, AI chatbots have shown potential in alleviating short-term symptoms of depression and anxiety (Dosovitsky et al., 2020; Zhong et al., 2024). However, limited research has examined how individuals use these tools for self-help. By replicating and extending previous findings, this study aims to offer insights that may inform the development of AI-based interventions to support student well-being and academic success.