User preferences for ChatGPT-powered conversational interfaces versus traditional methods

Abstract

This study examined user preferences for ChatGPT-powered conversational interfaces vs traditional
techniques. The study collected data from 175 selected volunteers utilizing a survey questionnaire.
Descriptive and inferential statistics were used to detect user preferences and compare them to the
literature review. The study found that 70% of users chose ChatGPT-powered conversational interfaces
over traditional techniques, citing convenience, efficiency, and personalization. Demographic data was
explored. The participants were evenly distributed between male and female (50%) and aged 18 to 55
(mean = 35 years). This study affects ChatGPT and conversational AI development. The results indicate
that users want to use these technologies in their daily lives. To improve ChatGPT, further study is needed
in this area. However, this study's tiny sample size must be considered. To confirm these findings and
investigate other factors affecting conversational interface user preferences, bigger and more diverse
samples are needed.