Early conversational agents (CAs) focused on dyadic human-AI interaction between humans
and the CAs, followed by the increasing popularity of polyadic human-AI interaction, in …

This study examined the use of deliberately anthropomorphic automation on younger and
older adults' trust, dependence and performance on a diabetes decision-making task …

Data visualization has been used extensively to inform users. However, little research has
been done to examine the effects of data visualization in influencing users or in making a …

Visual, behavioral and verbal cues for gender are often used in designing virtual agents to
take advantage of their stereotypical effects on the users. However, recent studies point …

The rise of increasingly more powerful chatbots offers a new way to collect information
through conversational surveys, where a chatbot asks open-ended questions, interprets a …

The present study draws on theories of attribution, social comparison, and social facilitation
to investigate how computers might use principles of motivation and persuasion to provide …

Critiquing-based recommender systems aim to elicit more accurate user preferences from
users' feedback toward recommendations. However, systems using a graphical user …

Embodied conversational agents are often included in health behaviour change
applications as intelligent virtual coaches. A major challenge in their development is …

Virtual humans can be used to deliver persuasive arguments; yet, those with synthetic text-to-
speech (TTS) have been perceived less favorably than those with recorded human speech …

Background Virtual humans (VH) are computer-generated characters that appear humanlike
and simulate face-to-face conversations using verbal and nonverbal cues. Unlike formless …