Gentiane Venture
Biographic Data
| ID | 4175307 |
|---|---|
| NAME | Gentiane Venture |
| GIVEN NAMES | Gentiane |
| FAMILY NAME | Venture |
| SIGNATURE | VENTURE G |
| AFFILIATIONS | Tokyo University of Agriculture and Technology |
| ORCID | 0000-0001-7767-4765 |
| VERIFIED | Yes |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 10 |
| AUTHOR COUNT | 10 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 2 |
Adapting a Teachable Robot’s Dialog Responses Using Reinforcement Learning
Teachable robots in education have the ability to increase student engagement and learning through personalised interactions and the use of social behaviours, such as speech, gaze and emotional expressions. Adaptation of these behaviours is motivated by an interest in tailoring the learning experience to an individual user and improving user outcomes. This work proposes an adaptive response-selection algorithm for a teachable robot which aims to …
Coordinate System Transformation Method for Comparing Different Types of Data in Different Dataset Using Singular Value Decomposition
In the current era of AI technology, where systems increasingly rely on big data to process vast amounts of societal information, efficient methods for integrating and utilizing diverse datasets are essential. This article presents a novel approach for transforming the feature space of different datasets through singular value decomposition (SVD) to extract common and hidden features as using the prior domain knowledge. Specifically, we apply thi…
Human Understanding and Perception of Unanticipated Robot Action in the Context of Physical Interaction
Anticipating a future scenario where the robot initiates its own actions and behaves voluntarily when collaborating with humans, our research focuses on human understanding and perception of unanticipated robot actions during physical human-robot interaction. While the current literature searches for key factors that make the human-robot collaboration successful, the question of how people experience the robot’s unanticipated action as cooperativ…
Correlation Analysis for Predictive Models of Robot User’s Impression
Robot Expressive Motions
Robots that have different forms and capabilities are used in a wide variety of situations; however, one common point to all robots interacting with humans is their ability to communicate with them. In addition to verbal communication or purely communicative movements, robots can also use their embodiment to generate expressive movements while achieving a task, to convey additional information to its human partner. This article surveys state-of-t…
Exploiting the Robot Kinematic Redundancy for Emotion Conveyance to Humans as a Lower Priority Task
This Robot is Sociable
Perspectives thérapeutiques
La plateforme de téléopération intuitive SWoOZ pose un robot humanoïde comme médiateur entre deux humains. Les premières études mettent en avant les dimensions subjectives et affectives de l’expérience des personnes interagissant avec le robot, notamment en terme de présence, et attirent l’attention sur le potentiel inédit de l’usage clinique du robot. Il apparaît à la fois comme outil technologique, jouet ou partenaire de jeu dans le processus t…
Recognizing Emotions Conveyed by Human Gait
Social vs. Useful HRI
Robot Expressive Motions
Robots that have different forms and capabilities are used in a wide variety of situations; however, one common point to all robots interacting with humans is their ability to communicate with them. In addition to verbal communication or purely communicative movements, robots can also use their embodiment to generate expressive movements while achieving a task, to convey additional information to its human partner. This article surveys state-of-t…
This Robot is Sociable
Social vs. Useful HRI
Recognizing Emotions Conveyed by Human Gait
This Robot is Sociable
Perspectives thérapeutiques
La plateforme de téléopération intuitive SWoOZ pose un robot humanoïde comme médiateur entre deux humains. Les premières études mettent en avant les dimensions subjectives et affectives de l’expérience des personnes interagissant avec le robot, notamment en terme de présence, et attirent l’attention sur le potentiel inédit de l’usage clinique du robot. Il apparaît à la fois comme outil technologique, jouet ou partenaire de jeu dans le processus t…
Exploiting the Robot Kinematic Redundancy for Emotion Conveyance to Humans as a Lower Priority Task
Robot Expressive Motions
Robots that have different forms and capabilities are used in a wide variety of situations; however, one common point to all robots interacting with humans is their ability to communicate with them. In addition to verbal communication or purely communicative movements, robots can also use their embodiment to generate expressive movements while achieving a task, to convey additional information to its human partner. This article surveys state-of-t…
Correlation Analysis for Predictive Models of Robot User’s Impression
Human Understanding and Perception of Unanticipated Robot Action in the Context of Physical Interaction
Anticipating a future scenario where the robot initiates its own actions and behaves voluntarily when collaborating with humans, our research focuses on human understanding and perception of unanticipated robot actions during physical human-robot interaction. While the current literature searches for key factors that make the human-robot collaboration successful, the question of how people experience the robot’s unanticipated action as cooperativ…
Adapting a Teachable Robot’s Dialog Responses Using Reinforcement Learning
Teachable robots in education have the ability to increase student engagement and learning through personalised interactions and the use of social behaviours, such as speech, gaze and emotional expressions. Adaptation of these behaviours is motivated by an interest in tailoring the learning experience to an individual user and improving user outcomes. This work proposes an adaptive response-selection algorithm for a teachable robot which aims to …
Coordinate System Transformation Method for Comparing Different Types of Data in Different Dataset Using Singular Value Decomposition
In the current era of AI technology, where systems increasingly rely on big data to process vast amounts of societal information, efficient methods for integrating and utilizing diverse datasets are essential. This article presents a novel approach for transforming the feature space of different datasets through singular value decomposition (SVD) to extract common and hidden features as using the prior domain knowledge. Specifically, we apply thi…
Computer Science (9 works) · Artificial Intelligence (8 works) · Psychology (8 works) · Social Robot Interaction and HRI (8 works) · Human–computer interaction (7 works) · Robot (7 works) · Social Psychology (5 works) · Cognitive psychology (4 works) · Action Observation and Synchronization (3 works) · Engineering (3 works)