Person:
Romero Hernández, Alejandro

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First Name
Alejandro
Last Name
Romero Hernández
URI
https://hdl.handle.net/20.500.14352/78619
Affiliation
Universidad Complutense de Madrid
Faculty / Institute
Informática
Department
Ingeniería del Software e Inteligencia Artificial
Area
Lenguajes y Sistemas Informáticos
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2019 - 201922020 - 20221
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Author: El-yamri, Meriem ×

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Now showing 1 - 3 of 3
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    Tackling the design and evaluation of a theater-based intelligent system to monitor audience experience in virtual public speaking settings
    (2022) Villalobos, Pablo; Rivero, Eduardo; El-yamri, Meriem; Romero Hernández, Alejandro; Manero Iglesias, José Borja
    COVID-19 has brought about a sharp increase in the use of videoconferencing tools. In education, this complicates the monitoring of student experience, which is essential to perform adequate classroom management. Researchers have designed tools to aid teachers within on-site settings, but they focus only on student engagement and are not suitable for virtual environments. In this paper, we present our system's architecture and evaluation. First, we adapted a theater-based framework to measuring audience experience beyond engagement in online settings. Secondly, we designed a proof-of-concept computer vision system and a companion video conferencing tool to automatically measure audience experience in the classroom and present near real-time feedback. We also describe the experiment we conducted to obtain a dataset to test our system and present the results. Although the predictive accuracy of our proof-of-concept system is limited, it opens several directions for future research.
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    Designing a VR game for public speaking based on speakers features: a case study
    (Smart Learning Environments, 2019) El-yamri, Meriem; Gonzalez-Riojo, Manuel; Romero Hernández, Alejandro; Manero Iglesias, José Borja; SPRINGER
    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 toolwhere 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 offer is 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 a behavioural-realistic 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. In this experiment, the audience subjects are asked to fill a questionnaire - level of engagement and perceived emotions - for a speech performed by professional actors representing different emotions. Afterwards, we compared the reactions of said audience with the ones generated by our algorithm, and used the results to improve it.
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    Emotions-responsive audiences for VR public speaking simulators based on the speakers’ voice
    (2019) El-yamri, Meriem; González, Manuel; Romero Hernández, Alejandro; Manero Iglesias, José Borja
    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.