What Emotions and Personalities Determine Acceptance of Generative AI?: Focusing on the CASA Paradigm
Jinmi Seok, B. Lee, Dongmi Kim, Sunyoung Bak, S. U. Kim, Sung-Tae Kim, So-Min Park
Abstract
This study investigates the intent to use ChatGPT, focusing on user characteristics. As an ‘interactive’ technology, generative AI emphasizes user characteristics and emotions, going beyond traditional technology acceptance models that prioritize ease of use and utility. Using hierarchical regression analysis, this study examines key variables, including demographic characteristics, personality traits, satisfaction, trust, friendliness, and intention to use. Findings reveal that higher trust and satisfaction significantly increased willingness to use the free version, particularly among younger users. In contrast, during the transition to the paid version, Resistance to Pay (RTP) was lower for users with more open personalities or high trust, while it remained stable for those with high satisfaction. These results highlight the need for more research on how user traits influence the acceptance of AI. Insights can inform policies that account for user emotions when integrating AI into social and business contexts. This study supports the evolving CASA paradigm, highlighting generative AI's interactive and emotional features.