Subjectivity and Cognitive Biases Modeling for a Realistic and Efficient Assisting Conversational Agent

Bouchet, François; Sansonnet, Jean-Paul

doi:10.1109/wi-iat.2009.152

Cited by 7 publications

(1 citation statement)

References 9 publications

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“…Our efforts include the generation of humorous dialogue from internet news articles. Numerous studies have examined conversational agents, such as those reported by Bouchet and Sansonnet (2009) and Ishii et al (2013). In almost all such studies, CG characters communicate with humans based on dialogue.…”

Section: Related Workmentioning

confidence: 99%

Implicit communication robots based on automatic scenario generation using web intelligence

Mashimo

Kitamura

Umetani

et al. 2016

IJWIS

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Purpose This paper aims to propose a system that generates dialogue scenarios automatically in real time from Web news articles. Then, the authors used the Manzai metaphor, a form of Japanese traditional humorous comedy, in the system. The generated Manzai scenario consists of snappy patter and a humorous misunderstanding of dialogue based on the gap of our structure of funny points. The authors create communication robots to amuse people with the generated humorous robot dialogue scenarios. Design/methodology/approach The authors propose the following: how to generate funny dialogue-based scenario from Web news and Web intelligence, automatically? How to create direction of robots based on the pre-experiment? The authors conducted experiments from three viewpoints, namely, effectiveness of Manzai scenarios as content, effectiveness of Manzai-Robots as a medium and familiarity of Manzai-Robots. Findings In this paper, the authors find two points, namely, the new communication style called “human–robots implicit communication-and bridging the knowledge gap using Web intelligence, to communicate smoothly between humans and robots. Originality/value Numerous studies have examined communication robots that mutually communicate with people. However, for several reasons, communicating smoothly with people is difficult for robots. One reason is the problem of communication style. Another is knowledge gaps separating humans and robots. The authors propose a new communication style to solve the problems and designate the communication style based on dialogue between robots as “human-robot implicit communication”. The authors then create communication robots to communicate with people naturally, smoothly and with familiarity according to their dialogue.

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Section: Related Workmentioning

confidence: 99%