Abstract
<p style="margin-bottom: 0px; font-stretch: normal; font-size: 13px; line-height: normal; font-family: "Helvetica Neue";">Conversational AI agents (CAs) are computer programs with the ability to interpret and respond to users’ natural language and communicate with users as humans would do with another human. CAs are being used more frequently as enterprise assistants, sales and marketing agents, customer care representatives, and data collection tools. The need to comprehend how they affect consumer trust or distrust in CAs has arisen as a result of the expansion of the CA market and the increasing roles that CAs play in consumption decisions. In order to meet this demand, this paper makes propositions regarding how user information requirements and CA interaction style may affect consumer trust and distrust in CAs as well as the mechanisms through which these influences take place based on the <span style="font-family: "Helvetica Neue"; font-size: 13px;">trust-distrust theory, social response theory, construal level theory, and cognitive load theory.</span>
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
