Due to the rapid development of information technology, the Internet has gradually become a part of everyday life. People would like to communicate with friends to share their opinions on social networks. The diverse behavior on socials networks is an ideal reflection of users’ personality traits. Existing behavior analysis methods for personality prediction mostly extract behavior attributes w...

We present an empirical study on the impact of linguistic and cultural tailoring of a conversational agent on its ability to change user attitudes. We designed two bilingual (English and Spanish) conversational agents to resemble members of two distinct cultures (Anglo-American and Latino) and conducted the study with participants from the two corresponding populations. Our results show that cu...

Listeners systematically extract two types of information from linguistic utterances: about the world, and speaker – i.e., their social background personality. While both varieties content have been widely investigated across different approaches to study language, research in pragmatics has mostly focused on former kind. Here we ask how listeners reason a speaker’s conversational choices form ...