This study explored associations between the five-factor personality traits of human subjects and their feelings of rapport when they interacted with a virtual agent or real humans. The agent, the Rapport Agent, responded to real human speakers’ storytelling behavior, using only nonverbal contingent (i.e., timely) feedback. We further investigated how interactants’ personalities were related to...

In this article I discuss an excerpt from a group discussion between five 15year-old boys who, in the presence of an adult moderator, engaged in the act of ‘slut bashing’ while telling a minimal story about an incident of female promiscuity. The analysis proceeds microanalytically in a three-step procedure that details the positions taken by the young participants during the interaction. First,...

This study investigates the use of emoji by Japanese learners English in discussion forums. Specifically, forums refer to online conversations on LINE smartphone application. The investigations answer research question: “What is effect closeness learners’ rate discussion?”. aims are pursued gauging perceived with each other via a questionnaire five levels from one five; rating closest and most ...

This paper examines the role of spatial behaviours in building human-robot relationships. A group of 8 participants, involved in a long-term HRI study, interacted with an artificial agent using different embodiments over a period of one and a half months. The robot embodiments had similar interactional and expressive capabilities, but only one embodiment was capable of moving. Participants repo...

Nonverbal behavior is a very important part of human interactions; and how this behavior is tracked and rendered is also key to establishing social presence. Tracking nonverbal behavior is useful not only for rendering signals via avatar, but also for providing clues about interactants. In this paper we describe a novel method of determining identity (i.e., gender) using machine learning with i...

We present a computational model for interpreting nonverbal signals of a user during an interaction with a virtual character in order to obtain a representation of his interpersonal stance. Our model starts, on the one hand, from the analysis of multimodal signals. On the other hand, it takes into account the temporal patterns of the interactants behaviors. That is it analyses signals and react...

This chapter examines contemporary research in computer-mediated communication (CMC) with regard to a specific question: How does attempting to influence individuals via CMC affect the social influence process? Over the past 15 years, the use of the Internet has shifted from an exhaustive information store, to another means with which to create and maintain group and individual social relations...

Does gender affect reactions to violations of expected conversational behavior? This study examined ratings of interactants involved in interruptive exchanges. Audio recordings of two-person interactions that varied in gender composition but were identical in script features were rated by judges on several scales, including the degree to which participants were seen to be argumentative, rude, a...

Interpersonal stances are expressed by non-verbal behaviors on a variety of different modalities. The perception of these behaviors is influenced by the context of the interaction, how they are sequenced with other behaviors from the same person and behaviors from other interactants. In this paper, we introduce a framework considering the expressions of stances on different layers during an int...