Computers that care: investigating the effects of orientation of emotion exhibited by an embodied computer agent
By Scott Brave, Clifford Nass, Kevin Hutchinson. Int. J. Hum. Comput. Stud., 2005
531 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Social Psychology
View Paper: https://www.semanticscholar.org/paper/0d02686296773fe5c70cff03eed434e816eea836
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
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- Emily Mower Provost
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- Chi-Chun Lee
In Social Psychology
- Shrikanth S. Narayanan
- Lebogang Wame Molefi
- Mohammad Soleymani
- Mun Yong Yi
- Hyojin Chin
- Hana Boukricha
- Iolanda Leite
- Ipke Wachsmuth
Citations in the corpus
- Short-term emotion assessment in a recall paradigm (2009, background): “2 can be achieved by enabling avatars or simpler agents to have facial expressions, different tones of voice, and empathic behaviours (Brave et al., 2005; Xu et al., 2006).”
- Making Social Robots More Attractive: The Effects of Voice Pitch, Humor and Empathy (2013, background): “[43] showed that modeling empathetic emotion in an agent was found to”
- Empathy in Virtual Agents and Robots (2017, background): “Research on empathic virtual agents has shown, among other things, that these agents are perceived as more likeable, trustworthy, and caring (Brave et al. 2005) and that they can build and sustain long-term socioemotional relationships with human partners (Bickmore and Picard 2005).”
- Empathy Is All You Need: How a Conversational Agent Should Respond to Verbal Abuse (2020, background): “An empathetic agent was found to lead to more positive ratings by a user, including greater likability and trustworthiness [13].”
- The influence of empathy in human-robot relations (2013, background): “Previous work showed that empathic agents are perceived as more caring, likeable, and trustworthy than agents without empathic capabilities (Brave et al., 2005) and that empathic agents can foster empathic feelings in users (Paiva et al.”
- Emotion recognition using a hierarchical binary decision tree approach (2011, background): “These systems must be able to accurately identify a child’s emotional state to foster long-term interactions and positive evaluations [5, 6, 7].”
- Trust in AI: progress, challenges, and future directions (2024, unknown): “Empathic accuracy, as an essential element of empathy, has an impact on the agent ’ s credibility and trust (Brave et al., 2005).”