Human Acceptance of Autonomous Social Media Agent

Abstract

On the advent of Web 2.0 online social media has emerged as a paramount vehicle for information sharing, business and entertainment. In order to harness this technology in a seamless and effective manner we need intelligent artifacts which can glue various stockholders and fulfill their information need pervasively. Hence, it is the time to design autonomous agents that would be able to take part in active social communication on social media like human beings. To this main question is whether people will accept and trust such systems in their environment or not. So, in this research an autonomous agent is designed that interacts with human beings and perform permissible social actions on the Facebook. Two types of experiments are conducted to compute the agent's expected level of acceptance by human and actual human acceptance of the agent. As the samples are collected from two different populations hence Student's T Test is performed to determine if two sets of data are significantly different from each other. 'Mean Difference' between both populations is 0.034 which shows that if an agent is capable of performing human-like social interaction it increases the human acceptance of the social agent.