Conversational agents (CAs) are software-based systems designed to interact with humans
using natural language and have attracted considerable research interest in recent years …

Exploring Intercultural Communication investigates the role of language in intercultural
communication, paying particular attention to the interplay between cultural diversity and …

Appropriate human likeness for social robots is said to increase trust and acceptance.
Whether this applies to human communication features like dialog initiative needs to be …

This paper presents an empirical study of linguistic formality. We perform an analysis of
humans' perceptions of formality in four different genres. These findings are used to develop …

Automatic perception of human affective behaviour from facial expressions and recognition
of intentions and social goals from dialogue contexts would greatly enhance natural human …

Social cues (eg, gender, age) are important design features of chatbots. However, choosing
a social cue design is challenging. Although much research has empirically investigated …

Recommendation agents (or decision aids) are prevalent in technology-mediated
environments. Evidence suggests that people prefer to interact with anthropomorphic …

While most research has focused on one-on-one interactions, Socially Interactive Agents
(SIAs) for multiparty interaction have received increasingly more atten tion in the past years …

In this paper, culture-related behaviors are investigated on several channels of
communication for virtual characters. Prototypical behaviors were formalized in …

Both dialogue systems and chatbots aim at putting into action communication between
humans and computers. However, instead of focusing on sophisticated techniques to …