Robots

Scientists try to teach robot to laugh at the right time

Laughter comes in many forms, from a polite chuckle to a contagious howl of mirth. Scientists are now developing an AI system that aims to recreate these nuances of humour by laughing in the right way at the right time.

The team behind the laughing robot, which is called Erica, say that the system could improve natural conversations between people and AI systems.

“We think that one of the important functions of conversational AI is empathy,” said Dr Koji Inoue, of Kyoto University, the lead author of the research, published in Frontiers in Robotics and AI. “So we decided that one way a robot can empathise with users is to share their laughter.”

Inoue and his colleagues have set out to teach their AI system the art of conversational laughter. They gathered training data from more than 80 speed-dating dialogues between male university students and the robot, who was initially teleoperated by four female amateur actors.

The dialogue data was annotated for solo laughs, social laughs (where humour isn’t involved, such as in polite or embarrassed laughter) and laughter of mirth. This data was then used to train a machine learning system to decide whether to laugh, and to choose the appropriate type.

It might feel socially awkward to mimic a small chuckle, but empathetic to join in with a hearty laugh. Based on the audio files, the algorithm learned the basic characteristics of social laughs, which tend to be more subdued, and mirthful laughs, with the aim of mirroring these in appropriate situations.

“Our biggest challenge in this work was identifying the actual cases of shared laughter, which isn’t easy because as you know, most laughter is actually not shared at all,” said Inoue. “We had to carefully categorise exactly which laughs we could use for our analysis and not just assume that any laugh can be responded to.”

Read more

Mots-clés : cybersécurité, sécurité informatique, protection des données, menaces cybernétiques, veille cyber, analyse de vulnérabilités, sécurité des réseaux, cyberattaques, conformité RGPD, NIS2, DORA, PCIDSS, DEVSECOPS, eSANTE, intelligence artificielle, IA en cybersécurité, apprentissage automatique, deep learning, algorithmes de sécurité, détection des anomalies, systèmes intelligents, automatisation de la sécurité, IA pour la prévention des cyberattaques.

Veille-cyber

Share
Published by
Veille-cyber

Recent Posts

Bots et IA biaisées : menaces pour la cybersécurité

Bots et IA biaisées : une menace silencieuse pour la cybersécurité des entreprises Introduction Les…

13 heures ago

Cloudflare en Panne

Cloudflare en Panne : Causes Officielles, Impacts et Risques pour les Entreprises  Le 5 décembre…

13 heures ago

Alerte sur le Malware Brickstorm : Une Menace pour les Infrastructures Critiques

Introduction La cybersécurité est aujourd’hui une priorité mondiale. Récemment, la CISA (Cybersecurity and Infrastructure Security…

14 heures ago

Cloud Computing : État de la menace et stratégies de protection

  La transformation numérique face aux nouvelles menaces Le cloud computing s’impose aujourd’hui comme un…

1 jour ago

Attaque DDoS record : Cloudflare face au botnet Aisuru – Une analyse de l’évolution des cybermenaces

Les attaques par déni de service distribué (DDoS) continuent d'évoluer en sophistication et en ampleur,…

2 jours ago

Poèmes Pirates : La Nouvelle Arme Contre Votre IA

Face à l'adoption croissante des technologies d'IA dans les PME, une nouvelle menace cybersécuritaire émerge…

2 jours ago

This website uses cookies.