English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

In this study, we verify the effectiveness of a sympathy expression model for a bystander robot that we have proposed. Because the social nature of a robot is important for communicating with multiple people, we focus on a robot that is in a bystander position, which is unrelated to the communication between participants. In our proposed model, the bystander can express emotions cooperatively in a group by learning the expressiveness of others. To test this, we assume an interaction of three robots using a neural network-based emotion generation model. The bystander learns moral emotions on the basis of its emotions from the communication between a speaker and an addressee. We verify the effectiveness of the model using a psychological model to evaluate the bystander from the position of the speaker.

Effectiveness of a Sympathy Expression Model for the Bystander Robot