Emotions-Responsive Audiences for VR Public Speaking Simulators Based on the Speakers' Voice
| Autor: | Manuel Gonzalez-Riojo, Alejandro Romero-Hernandez, Borja Manero, Meriem El-Yamri |
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| Rok vydání: | 2019 |
| Předmět: |
education.field_of_study
Computer science 05 social sciences Population Virtual reality Tone (literature) 050105 experimental psychology 03 medical and health sciences Public speaking 0302 clinical medicine Order (business) Human–computer interaction 0501 psychology and cognitive sciences education 030217 neurology & neurosurgery |
| Zdroj: | ICALT |
| Popis: | Oratory or the art of public speaking with eloquence has been cultivated since ancient times. However, the fear of speaking in public -a disproportionate reaction to the threatening situation of facing an audience-affects a very important part of the population. This work arises from the need to help alleviate this fear through a tool where to train the ability of public speaking. To this purpose, we built a virtual reality system that offers the speaker a safe environment to practice presentations. Since the audience is the only way to receive feedback when giving a speech, our system offers a virtual audience that reacts and gives real-time feedback based on the emotions conveyed by three parameters: voice tone, speech content and speaker's gaze. In this paper, we detail the modelling of the audience just focusing on the speakers' voice tone: 1) by presenting an algorithm that controls the audience' reactions based on the emotions beamed by the speaker, and 2) by carrying out an experiment comparing the reactions generated by the agents with those of a real audience to the same speech, in order to refine the given algorithm. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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