Emotion and sociable humanoid robots

By Cynthia Lynn Breazeal. Int. J. Hum. Comput. Stud., 2003

1,301 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Developmental and Educational Psychology, Social Psychology

View Paper: https://www.semanticscholar.org/paper/4f59f676086cfc45cea8ba9a6239a16d3a652b6c

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Citations in the corpus

To Err Is Human(-oid): How Do Consumers React to Robot Service Failure and Recovery? (2020, background): “Second, when service robots are capable of social skills, such as displaying socially appropriate actions (e.g., saying hello) and emotions (e.g., smiling in a positive situation), consumers are more willing to interact with, and therefore, accept them (Breazeal 2003).”
A Survey of Artificial Cognitive Systems: Implications for the Autonomous Development of Mental Capabilities in Computational Agents (2007, methodology): “The Kismet cognitive architecture [173].”
Robotic Emotional Expression Generation Based on Mood Transition and Personality Model (2013, background): “Methodologies for developing emotional robotic behaviors have drawn much attention in the robotic research community [1].”
Continual Learning for Affective Robotics: Why, What and How? (2020, background): “is a challenging research topic [4], [5] still in its infancy.”
The 3 C's of anthropomorphism: Connection, comprehension, and competition (2019, background): “Because technology has the capability to create robots that can express emotions, recognize social cues, and embody other uniquely human traits (Breazeal, 2003; Breazeal & Aryananda, 2002), anthro‐ pomorphism may be one way to make consumers more comfortable with artificial minds.”
Toward a framework for levels of robot autonomy in human-robot interaction (2014, background): “Social capability has been categorized into classes of social robots (Breazeal, 2003; Fong, Nourbakhsh, & Dautenhahn, 2003): socially evocative, social interface, socially receptive, sociable, socially situated, socially embedded, and socially intelligent.”
Toward sociable robots (2003, background): “…the ability to direct the robot's attention to establish shared reference [10] [16], the ability to give readable, expressive feedback to the human [7], the ability for the robot to recognize expressive feedback such as praise and prohibition [9], the ability to take turns to structure the…”
Toward a Framework for Human-Robot Interaction (2004, background): “[Breazeal, 2003a] [Fong et al., 2003] Fong, T., Nourbakhsh, I., and Dautenhahn, K. (2003).”
The Uncanny Valley: Effect of Realism on the Impression of Artificial Human Faces (2007, background): “…of realism on facial perception and cognition, and such studies will provide clues to understand human response to artificial human-like objects (e.g., Arita et al. , 2005; Breazeal, 2003; Garau et al. , 2005; Hinds et al., 2004; Minato et al., 2004a; Minato et al., 2004b; Shinozawa et al. , 2005).”
Exploring influencing variables for the acceptance of social robots (2013, background): “Research studies in the field of human–robots interaction demonstrate that a more sociable robot will be more effective in its communication and is, therefore, expected to be easier and more pleasant to interact with [1,7,8] as well as more readily perceived as a social entity [7].”
Arousal regulation and affective adaptation to human responsiveness by a robot that explores and learns a novel environment (2014, methodology): “It has for example been used as a parameter to control the emotional displays of a robot as a function that reﬂects the levels of external stimulation received by an agent (Breazeal and Scassellati, 1999; Breazeal, 2003).”
IExpressNet: Facial Expression Recognition with Incremental Classes (2020, background): “However, facial expression recognition (FER) provides more insights for humans’ behaviors, which is essential to various human-computer interaction applications like sociable robotics [7], medical care [69], and driver fatigue surveillance [76].”
Machine intelligence (2009, methodology): “Inspired by Brooks’ thinking, Kismet [2], for instance, offers a mechanically sophisticated although visually crude example of a humanoid robot designed to learn and respond to emotional cues.”