Chatbots are mainly text-based conversational agents that simulate conversations with users. This study aims to investigate drivers of users’ satisfaction and continuance intention toward chatbot- based customer service. We propose an analytical framework combining the expectation-con- firmation model (ECM), information system success (ISS) model, TAM, and the need for inter- action wit…
Chatbots are used frequently in business to facilitate various processes, particularly those related to customer service and personalization. In this article, we propose novel methods of tracking human-chatbot interactions and measuring chatbot performance that take into consideration ethical concerns, particularly trust. Our proposed methodology links neuroscientific methods, text mining, …
Amid an era of rapid globalization and technological advancement, translation technologies stand as valuable assets for college students to enhance accuracy and efficiency in the translation process. However, the adoption and acceptance of these technologies are contingent on several psychological factors, which are underexplored in the academic field. This study, populated by a cohort of …
By applying a natural language processing approach, the present study aims to reveal what features of brand posts (i.e., post type, vividness, interactivity, and valence) may impact consumers’ behavioral, cognitive, and emotional engagement respectively. After collecting brand posts data from a microblog website, multilevel mixed-effects regression models were utilized to analyze the pan…