Intelligent agents interacting with humans through conversation (such as a robot, embodied
conversational agent, or chatbot) need to receive feedback from the human to make sure …

With societies growing more and more conscious of human social biases that are implicit in
most of our interactions, the development of automated robot social behavior is failing to …

Backchanneling behaviors on a robot, such as nodding, can make talking to a robot feel
more natural and engaging by giving a sense that the robot is actively listening. For …

Backchannel responses like “uh-huh”,“yeah”,“right” are used by the listener in a social
dialog as a way to provide feedback to the speaker. In the context of human-computer …

Using supporting backchannel (BC) cues can make human-computer interaction more
social. BCs provide a feedback from the listener to the speaker indicating to the speaker that …

Despite the recent advancements in robotics and machine learning (ML), the deployment of
autonomous robots in our everyday lives is still an open challenge. This is due to multiple …

While thinking aloud has been reported to positively affect problem-solving, the effects of the
presence of an embodied entity (eg, a social robot) to whom words can be directed remain …

In order to make human computer interaction more social, the use of supporting
backchannel cues can be beneficial. Such cues can be delivered in different channels like …

Existing spoken dialogue systems are typically not designed to provide natural interaction
since they impose a strict turn-taking regime in which a dialogue consists of interleaved …

This article presents the SMYLE corpus, the first multimodal corpus in French (16h) including
neuro-physiological data from 60 participants engaged in face-to-face storytelling (8.2 h) …