The field of artificial intelligence, particularly in the realm of natural language processing, has seen significant advancements with the development of chatbots like ChatGPT. These AI-driven text generators have been increasingly utilized across diverse sectors such as education, science, law, and health, offering users a novel way to access information and assistance. Despite their growing popularity, there remains a paucity of empirical research examining the real-world impact of these tools on users. Key questions persist regarding how individuals perceive the utility of chatbots, the nature of their interactions, and whether these digital entities are seen as allies or adversaries. While existing studies have employed SWOT analyses to explore the strengths and weaknesses of chatbots, and others have delved into their conversational dynamics and ethical implications, there is a notable gap in understanding the user experience and the broader societal implications of chatbot integration.This research topic aims to explore the nuanced relationship between users and chatbots, focusing on the perceived utility, trust, and satisfaction associated with these AI tools. By addressing these aspects, the research seeks to uncover the factors that influence user perceptions and behaviors, and to determine whether chatbots are viewed as beneficial companions or potential threats. The objective is to answer critical questions about user trust, task satisfaction, and the role of demographic factors in shaping these perceptions.To gather further insights in the realm of user-chatbot interactions, we welcome articles addressing, but not limited to, the following themes:• the perceived usefulness of chatbots like ChatGPT, Google Bard, and Perplexity AI• user satisfaction with chatbot responses across various tasks• challenges in crafting effective prompts for desired responses• levels of trust in chatbots compared to human experts• the influence of demographic factors such as age, gender, and education on user satisfaction• behavioral responses to chatbot-generated information• cross-cultural differences in chatbot usage and perception.
The field of artificial intelligence, particularly in the realm of natural language processing, has seen significant advancements with the development of chatbots like ChatGPT. These AI-driven text generators have been increasingly utilized across diverse sectors such as education, science, law, and health, offering users a novel way to access information and assistance. Despite their growing popularity, there remains a paucity of empirical research examining the real-world impact of these tools on users. Key questions persist regarding how individuals perceive the utility of chatbots, the nature of their interactions, and whether these digital entities are seen as allies or adversaries. While existing studies have employed SWOT analyses to explore the strengths and weaknesses of chatbots, and others have delved into their conversational dynamics and ethical implications, there is a notable gap in understanding the user experience and the broader societal implications of chatbot integration.This research topic aims to explore the nuanced relationship between users and chatbots, focusing on the perceived utility, trust, and satisfaction associated with these AI tools. By addressing these aspects, the research seeks to uncover the factors that influence user perceptions and behaviors, and to determine whether chatbots are viewed as beneficial companions or potential threats. The objective is to answer critical questions about user trust, task satisfaction, and the role of demographic factors in shaping these perceptions.To gather further insights in the realm of user-chatbot interactions, we welcome articles addressing, but not limited to, the following themes:• the perceived usefulness of chatbots like ChatGPT, Google Bard, and Perplexity AI• user satisfaction with chatbot responses across various tasks• challenges in crafting effective prompts for desired responses• levels of trust in chatbots compared to human experts• the influence of demographic factors such as age, gender, and education on user satisfaction• behavioral responses to chatbot-generated information• cross-cultural differences in chatbot usage and perception.