The Experts below are selected from a list of 78906 Experts worldwide ranked by ideXlab platform

Dominique Duhaut - One of the best experts on this subject based on the ideXlab platform.

  • Evaluation of Emi Interaction with non-disabled children in nursery school using wizard of Oz technique
    2011
    Co-Authors: Sébastien Saint-aimé, Brigitte Le Pévédic, Marine Grandgeorge, Dominique Duhaut
    Abstract:

    Research in the field of Emotional Interaction is discussed here, for the EmotiRob project, to maintain Interaction with children in the 4-to-8 year old age range. The objective of this project is to give comfort to vulnerable children and/or those undergoing long-term hospitalisation through the help of an Emotional robot companion. The studies carried out on perception and Emotional synthesis have allowed us to develop an experimental stuffed robot Emi, using an Emotional model, iGrace, allowing for Emotional reaction based on the speech of the user. This paper briefly presents the EmotiRob project and how emotion has been used for Emi. The last experiment done with children to evaluate their Interaction with Emi is then described.

  • Preliminary study to evaluate Emi Emotional Interaction with 2 young children
    2011
    Co-Authors: Sébastien Saint-aimé, Brigitte Le Pévédic, Dominique Duhaut
    Abstract:

    This article will focus on research in the field of Emotional Interaction, for the EmotiRob project, to maintain non-verbal Interaction with chidren from 4 to 8 years old. The studies carried out on perception and Emotional synthesis have allowed us to develop an experimental stuffed robot, Emi, using an Emotional model, iGrace, allowing for an Emotional reaction based on the speech of the user. Our iGrace model can also be used with all kinds of systems which have emotion in the environment. We begin the article with a presentation of the MAPH and EmotiRob project. Then, we will quickly describe the different hypotheses we have used for the iGrace Emotional model and the Emi robotics conception. We conclude with a preliminary study we began with 2 children to evaluate Interaction with Emi.

  • From Speech to Emotional Interaction: EmotiRob Project
    Human-Robot Personal Relationships, 2011
    Co-Authors: Marc Le Tallec, Sabine Letellier-zarshenas, Sébastien Saint-aimé, Brigitte Le Pévédic, Jean-yves Antoine, Jeanne Villaneau, Céline Jost, Dominique Duhaut
    Abstract:

    This article presents research work done in the domain of nonverbal Emotional Interaction for the EmotiRob project. It is a component of the MAPH project, the objective of which is to give comfort to vulnerable children and/or those undergoing long-term hospitalisation through the help of an Emotional robot companion. It is important to note that we are not trying to reproduce human emotion and behavior, but trying to make a robot Emotionally expressive. This paper will present the different hypotheses we have used from understanding to Emotional reaction. We begin the article with a presentation of the MAPH and EmotiRob project. Then, we quickly describe the speech undestanding system, the iGrace computational model of emotions and integration of dynamics behavior. We conclude with a description of the architecture of Emi, as well as improvements to be made to its next generation.

  • Dynamic behaviour conception for EmI companion robot
    2010
    Co-Authors: Sébastien Saint-aimé, Brigitte Le Pévédic, Céline Jost, Dominique Duhaut
    Abstract:

    This article presents research work done in the domain of nonverbal Emotional Interaction for the EmotiRob project. It is a component of the MAPH project, the objective of which is to give comfort to vulnerable children and/or those undergoing long-term hospitalisation through the help of an Emotional robot companion. It is important to note that we are not trying to reproduce human emotion and behavior, but trying to make a robot Emotionally expressive. The studies carried out on perception and Emotional synthesis have allowed us to develop our Emotional model of Interaction: iGrace. iGrace actually allow a system display emotions as a static mode. This mode has ever been evaluated with our avatar: ArtE, we developped in Flash. The rate of satisfaction (86%) of the evaluation allowed us embeded static mode on our robotics platform: EmI – Emotional Model of Interaction. Now, we want add dynamics on EmI robot and add lifelike in its reactions. This paper will present different hypothesis we used for iGrace Emotional model, algorithm for behaviour dynamic , evaluation for static and dynamic mode, and EmI robotics conception. We begin the article by MAPH and EmotiRob project presentation. Then, we quickly describe the computational model of Emotional experience iGrace that we have created, the integration of dynamics and iGrace evaluation. We conclude with a description of the architecture of Emi, as well as improvements to be made to its next generation.

  • FIRST EVALUATION OF EMI MODEL OF Interaction
    2009
    Co-Authors: Sébastien Saint-aimé, Brigitte Le Pévédic, Dominique Duhaut
    Abstract:

    This article presents research work done in the domain of nonverbal Emotional Interaction for the EmotiRob project. It is a component of the MAPH project, the objective of which is to give comfort to vulnerable children and/or those undergoing long-term hospitalisation through the help of an Emotional robot companion. The studies carried out on perception and Emotional synthesis have allowed us to determine a method of Emotional expression for our public. It is important to note that we are not trying to reproduce human emotion, but trying to make a robot Emotionally expressive. Our experiments on the subject have helped us determine the minimum number of degrees of liberty necessary for the robot and helped us answer some question to validate our Emotional model int a next experimentation. We begin the article by MAPH and EmotiRob project presentation. Then, we quickly describe the computational model of Emotional experience iGrace that we have created, as well as give its evaluation. We conclude with a description of the architecture of Emi, as well as improvements to be made to its third generation.

Laurence Hafemeister - One of the best experts on this subject based on the ideXlab platform.

  • Development of first social referencing skills: Emotional Interaction as a way to regulate robot behavior
    IEEE Transactions on Autonomous Mental Development, 2014
    Co-Authors: Sofiane Boucenna, Philippe Gaussier, Laurence Hafemeister
    Abstract:

    In this work, we study how Emotional Interactions with a social partner can bootstrap increasingly complex behaviors such as social referencing. Our idea is that social referencing as well as facial expression recognition can emerge from a simple sensory-motor system involving Emotional stimuli. Without knowing that the other is an agent, the robot is able to learn some complex tasks if the human partner has some "empathy" or at least "resonate" with the robot head (low level Emotional resonance). Hence, we advocate the idea that social referencing can be bootstrapped from a simple sensory-motor system not dedicated to social Interactions.

  • Using Emotional Interactions for Visual Navigation Task Learning
    2010
    Co-Authors: Cyril Hasson, Philippe Gaussier, Sofiane Boucenna, Laurence Hafemeister
    Abstract:

    The aim of this study is to show how robots learning could be easier and accessible to non experts if it relies on Emotional Interactions, more precis ely on social referencing abilities, rather than on specialized supervised learning technics. To test this idea, we coupled two systems : a robotic head able to learn to recognize and imitate Emotional facial expressions and a mobile robot able to learn autonomous visual navigation tasks in a real environment. Two possible solutions for coupling these two systems are tested. First, the Emotional Interactions are used to qualify the robot's behavior. The robot shows its ability to learn how to reach a goal-place of its environment using Emotional Interaction signal from the experimentator. These signals are giving the robot information about the quality of its behavior and allow it to learn place-actions associations to construct an attraction basin around the goal-place. Second, the Emotional Interactions are used to qualify the robot's immediat environment. The robot shows its ability to learn how to avoid a place of its environment by associating it with the experimentator's anger facial expression. The first strategy allows the experimentator to teach the robot t o reach a specific place from anywhere in its environment. However, this strategy takes more learning time than the second strategy that is very fast but seems to be inappropriate to learn to reach a pla ce instead of avoiding it. While these two different strategies achieve satisfactory results, there is no reason why they should be mutually exclusive. In conclusion, we discuss the coupling of both type of learning. Our results also show that relying on the natural expertise of humans in recognizi ng and expressing emotions is a very promising approach to human-robot Interactions. Furthermore, our approach can provide new interesting insights about how, in their early age, humans can develop high level social referencing capabilities from low level sensorimotors dynamics.

  • Towards a new social referencing paradigm
    epirob, 2009
    Co-Authors: Sofiane Boucenna, Laurence Hafemeister, Philippe Gaussier, K. Bard
    Abstract:

    In this work, we are interesting in understanding how Emotional Interactions with a social partner can bootstrap increasingly complex behaviors, which is important both for robotics application and un- derstanding development. In particular, we pro- pose that social referencing, gathering information through Emotional Interaction, fulfills this goal. So- cial referencing, a developmental process incorporat- ing the ability to recognize, understand, respond to and alter behavior in response to the Emotional ex- pressions of a social partner, allows an infant, or a robot, to seek information from another individual and use that information to guide his behavior to- ward an object or event

Atif Alamri - One of the best experts on this subject based on the ideXlab platform.

  • AIWAC: Affective Interaction through wearable computing and cloud technology
    IEEE Wireless Communications, 2015
    Co-Authors: Mingang Chen, Yin Zhang, Yonghua Li, Mohammad Mehedi Hassan, Min Chen, Yong Li, Atif Alamri
    Abstract:

    To reduce the heavy burden from rapidly growing demands of healthcare service, wearable computing-assisted healthcare has been proposed for health monitoring and remote medical care. Although the provisioning of healthcare services can be significantly enhanced via wearable-enabled technologies, great challenges arise due to the lack of a human-centric mechanism for affective Interaction. In this article, we propose a novel architecture, Affective Interaction through Wearable Computing and Cloud Technology (AIWAC), which includes three components: collaborative data collection via wearable devices, enhanced sentiment analysis and forecasting models, and controllable affective Interactions. Based on the proposed architecture, we present our AIWAC testbed, design a practical mechanism for wearable computing-based Emotional Interaction, and discuss its open problems, which inspire potential research as a new direction.

Sébastien Saint-aimé - One of the best experts on this subject based on the ideXlab platform.

  • Evaluation of Emi Interaction with non-disabled children in nursery school using wizard of Oz technique
    2011
    Co-Authors: Sébastien Saint-aimé, Brigitte Le Pévédic, Marine Grandgeorge, Dominique Duhaut
    Abstract:

    Research in the field of Emotional Interaction is discussed here, for the EmotiRob project, to maintain Interaction with children in the 4-to-8 year old age range. The objective of this project is to give comfort to vulnerable children and/or those undergoing long-term hospitalisation through the help of an Emotional robot companion. The studies carried out on perception and Emotional synthesis have allowed us to develop an experimental stuffed robot Emi, using an Emotional model, iGrace, allowing for Emotional reaction based on the speech of the user. This paper briefly presents the EmotiRob project and how emotion has been used for Emi. The last experiment done with children to evaluate their Interaction with Emi is then described.

  • Preliminary study to evaluate Emi Emotional Interaction with 2 young children
    2011
    Co-Authors: Sébastien Saint-aimé, Brigitte Le Pévédic, Dominique Duhaut
    Abstract:

    This article will focus on research in the field of Emotional Interaction, for the EmotiRob project, to maintain non-verbal Interaction with chidren from 4 to 8 years old. The studies carried out on perception and Emotional synthesis have allowed us to develop an experimental stuffed robot, Emi, using an Emotional model, iGrace, allowing for an Emotional reaction based on the speech of the user. Our iGrace model can also be used with all kinds of systems which have emotion in the environment. We begin the article with a presentation of the MAPH and EmotiRob project. Then, we will quickly describe the different hypotheses we have used for the iGrace Emotional model and the Emi robotics conception. We conclude with a preliminary study we began with 2 children to evaluate Interaction with Emi.

  • From Speech to Emotional Interaction: EmotiRob Project
    Human-Robot Personal Relationships, 2011
    Co-Authors: Marc Le Tallec, Sabine Letellier-zarshenas, Sébastien Saint-aimé, Brigitte Le Pévédic, Jean-yves Antoine, Jeanne Villaneau, Céline Jost, Dominique Duhaut
    Abstract:

    This article presents research work done in the domain of nonverbal Emotional Interaction for the EmotiRob project. It is a component of the MAPH project, the objective of which is to give comfort to vulnerable children and/or those undergoing long-term hospitalisation through the help of an Emotional robot companion. It is important to note that we are not trying to reproduce human emotion and behavior, but trying to make a robot Emotionally expressive. This paper will present the different hypotheses we have used from understanding to Emotional reaction. We begin the article with a presentation of the MAPH and EmotiRob project. Then, we quickly describe the speech undestanding system, the iGrace computational model of emotions and integration of dynamics behavior. We conclude with a description of the architecture of Emi, as well as improvements to be made to its next generation.

  • Dynamic behaviour conception for EmI companion robot
    2010
    Co-Authors: Sébastien Saint-aimé, Brigitte Le Pévédic, Céline Jost, Dominique Duhaut
    Abstract:

    This article presents research work done in the domain of nonverbal Emotional Interaction for the EmotiRob project. It is a component of the MAPH project, the objective of which is to give comfort to vulnerable children and/or those undergoing long-term hospitalisation through the help of an Emotional robot companion. It is important to note that we are not trying to reproduce human emotion and behavior, but trying to make a robot Emotionally expressive. The studies carried out on perception and Emotional synthesis have allowed us to develop our Emotional model of Interaction: iGrace. iGrace actually allow a system display emotions as a static mode. This mode has ever been evaluated with our avatar: ArtE, we developped in Flash. The rate of satisfaction (86%) of the evaluation allowed us embeded static mode on our robotics platform: EmI – Emotional Model of Interaction. Now, we want add dynamics on EmI robot and add lifelike in its reactions. This paper will present different hypothesis we used for iGrace Emotional model, algorithm for behaviour dynamic , evaluation for static and dynamic mode, and EmI robotics conception. We begin the article by MAPH and EmotiRob project presentation. Then, we quickly describe the computational model of Emotional experience iGrace that we have created, the integration of dynamics and iGrace evaluation. We conclude with a description of the architecture of Emi, as well as improvements to be made to its next generation.

  • FIRST EVALUATION OF EMI MODEL OF Interaction
    2009
    Co-Authors: Sébastien Saint-aimé, Brigitte Le Pévédic, Dominique Duhaut
    Abstract:

    This article presents research work done in the domain of nonverbal Emotional Interaction for the EmotiRob project. It is a component of the MAPH project, the objective of which is to give comfort to vulnerable children and/or those undergoing long-term hospitalisation through the help of an Emotional robot companion. The studies carried out on perception and Emotional synthesis have allowed us to determine a method of Emotional expression for our public. It is important to note that we are not trying to reproduce human emotion, but trying to make a robot Emotionally expressive. Our experiments on the subject have helped us determine the minimum number of degrees of liberty necessary for the robot and helped us answer some question to validate our Emotional model int a next experimentation. We begin the article by MAPH and EmotiRob project presentation. Then, we quickly describe the computational model of Emotional experience iGrace that we have created, as well as give its evaluation. We conclude with a description of the architecture of Emi, as well as improvements to be made to its third generation.

Xiangyu Wang - One of the best experts on this subject based on the ideXlab platform.

  • A Review of Smart Design Based on Interactive Experience in Building Systems
    Sustainability, 2020
    Co-Authors: Jiao Zhang, Jizhuo Huang, Xiangyu Wang
    Abstract:

    Smart building is the result of the penetration of information technology and control technology into traditional buildings, and is the future development direction of buildings. User-centric building smart design can achieve a sustainable life, and smart technology integration based on smart design can support sustainable development and improve user satisfaction, happiness, and overall quality of life. In intelligent design, researchers focus on the “people-oriented” approach, designed to bring users the ultimate interactive experience. Based on the interactive experience principle of smart design in the smart building system, this article classifies and summarizes intelligent design from the “five senses” Interaction, including visual Interaction, voice Interaction, tactile Interaction, cognitive Interaction, and Emotional Interaction. We analyze the application of smart design in architecture and discuss how to embody the principles of user-centered interactive experience design in the process of smart design. This article provides a comprehensive and systematic literature review, clarifies the importance of the “people-oriented” approach in the smart design of buildings, and summarizes how to improve the sustainability of intelligent buildings from the perspective of a “people-oriented” approach. This paper proposes future research suggestions and directions and promotes the sustainable development of the smart building.