[HTML][HTML] Turn-taking in conversational systems and human-robot interaction: a review
G Skantze - Computer Speech & Language, 2021 - Elsevier
The taking of turns is a fundamental aspect of dialogue. Since it is difficult to speak and listen
at the same time, the participants need to coordinate who is currently speaking and when …
at the same time, the participants need to coordinate who is currently speaking and when …
A review of eye gaze in virtual agents, social robotics and hci: Behaviour generation, user interaction and perception
A person's emotions and state of mind are apparent in their face and eyes. As a Latin
proverb states:'The face is the portrait of the mind; the eyes, its informers'. This presents a …
proverb states:'The face is the portrait of the mind; the eyes, its informers'. This presents a …
Turn-taking, feedback and joint attention in situated human–robot interaction
In this paper, we present a study where a robot instructs a human on how to draw a route on
a map. The human and robot are seated face-to-face with the map placed on the table …
a map. The human and robot are seated face-to-face with the map placed on the table …
Look me in the eyes: A survey of eye and gaze animation for virtual agents and artificial systems
A person's emotions and state of mind are apparent in their face and eyes. As a Latin
proverb states:" The face is the portrait of the mind; the eyes, its informers.". This presents a …
proverb states:" The face is the portrait of the mind; the eyes, its informers.". This presents a …
Learning backchanneling behaviors for a social robot via data augmentation from human-human conversations
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 …
more natural and engaging by giving a sense that the robot is actively listening. For …
Modeling feedback in interaction with conversational agents—a review
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 …
conversational agent, or chatbot) need to receive feedback from the human to make sure …
Training socially engaging robots: Modeling backchannel behaviors with batch reinforcement learning
A key aspect of social human-robot interaction is natural non-verbal communication. In this
work, we train an agent with batch reinforcement learning to generate nods and smiles as …
work, we train an agent with batch reinforcement learning to generate nods and smiles as …
Computational models of miscommunication phenomena
Miscommunication phenomena such as repair in dialogue are important indicators of the
quality of communication. Automatic detection is therefore a key step toward tools that can …
quality of communication. Automatic detection is therefore a key step toward tools that can …
Backchannels in conversations between autistic adults are less frequent and less diverse prosodically and lexically
Backchannels (BCs; listener signals such as 'mmhm'or 'okay') are a ubiquitous and essential
feature of spoken interaction. They are used by listeners predominantly to support the …
feature of spoken interaction. They are used by listeners predominantly to support the …
Backchannel behavior is idiosyncratic
In spoken conversations, speakers and their addressees constantly seek and provide
different forms of audiovisual feedback, also known as backchannels, which include …
different forms of audiovisual feedback, also known as backchannels, which include …