The Experts below are selected from a list of 19005 Experts worldwide ranked by ideXlab platform
Andrea L. Thomaz - One of the best experts on this subject based on the ideXlab platform.
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IROS - Real-time changes to Social Dynamics in human-robot turn-taking
2015 IEEE RSJ International Conference on Intelligent Robots and Systems (IROS), 2015Co-Authors: Justin S. Smith, Crystal Chao, Andrea L. ThomazAbstract:In order for robots to work alongside humans in a range of domains, they will need to operate with a variety of Social Dynamics that each context will require. This paper builds on previous work with a parameterized turn-taking model, CADENCE, in which different parameter settings resulted in different Social Dynamics. In contrast to the static parameter settings of previous work, we now investigate the problem of changing these turn-taking parameter sets dynamically within a single interaction session. This ability is necessary for successful peer-to-peer collaborations, in which balance of control between leading and following must be maintained. We present our dynamic switching approach and an experiment with 15 participants. Our results confirm that it is possible to achieve the same changes in Social Dynamics within a single interaction session that were previously seen only between independent sessions of different parameter settings. Moreover, we show that such a change in Social Dynamics is contingent upon changing parameters at Socially appropriate turn boundaries.
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Real-time changes to Social Dynamics in human-robot turn-taking
2015 IEEE RSJ International Conference on Intelligent Robots and Systems (IROS), 2015Co-Authors: Justin S. Smith, Crystal Chao, Andrea L. ThomazAbstract:In order for robots to work alongside humans in a range of domains, they will need to operate with a variety of Social Dynamics that each context will require. This paper builds on previous work with a parameterized turn-taking model, CADENCE, in which different parameter settings resulted in different Social Dynamics. In contrast to the static parameter settings of previous work, we now investigate the problem of changing these turn-taking parameter sets dynamically within a single interaction session. This ability is necessary for successful peer-to-peer collaborations, in which balance of control between leading and following must be maintained. We present our dynamic switching approach and an experiment with 15 participants. Our results confirm that it is possible to achieve the same changes in Social Dynamics within a single interaction session that were previously seen only between independent sessions of different parameter settings. Moreover, we show that such a change in Social Dynamics is contingent upon changing parameters at Socially appropriate turn boundaries.
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Controlling Social Dynamics with a parametrized model of floor regulation
Journal of Human-Robot Interaction, 2013Co-Authors: Crystal Chao, Andrea L. ThomazAbstract:Turn-taking is ubiquitous in human communication, yet turn-taking between humans and robots continues to be stilted and awkward for human users. The goal of our work is to build autonomous robot controllers for successfully engaging in human-like turn-taking interactions. Towards this end, we present CADENCE, a novel computational model and architecture that explicitly reasons about the four components of floor regulation: seizing the floor, yielding the floor, holding the floor, and auditing the owner of the floor. The model is parametrized to enable the robot to achieve a range of Social Dynamics for the human-robot dyad. In a between-groups experiment with 30 participants, our humanoid robot uses this turn-taking system at two contrasting parametrizations to engage users in autonomous object play interactions. Our results from the study show that: (1) manipulating these turn-taking parameters results in significantly different robot behavior; (2) people perceive the robot's behavioral differences and consequently attribute different personalities to the robot; and (3) changing the robot's personality results in different behavior from the human, manipulating the Social Dynamics of the dyad. We discuss the implications of this work for various contextual applications as well as the key limitations of the system to be addressed in future work.
Justin S. Smith - One of the best experts on this subject based on the ideXlab platform.
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IROS - Real-time changes to Social Dynamics in human-robot turn-taking
2015 IEEE RSJ International Conference on Intelligent Robots and Systems (IROS), 2015Co-Authors: Justin S. Smith, Crystal Chao, Andrea L. ThomazAbstract:In order for robots to work alongside humans in a range of domains, they will need to operate with a variety of Social Dynamics that each context will require. This paper builds on previous work with a parameterized turn-taking model, CADENCE, in which different parameter settings resulted in different Social Dynamics. In contrast to the static parameter settings of previous work, we now investigate the problem of changing these turn-taking parameter sets dynamically within a single interaction session. This ability is necessary for successful peer-to-peer collaborations, in which balance of control between leading and following must be maintained. We present our dynamic switching approach and an experiment with 15 participants. Our results confirm that it is possible to achieve the same changes in Social Dynamics within a single interaction session that were previously seen only between independent sessions of different parameter settings. Moreover, we show that such a change in Social Dynamics is contingent upon changing parameters at Socially appropriate turn boundaries.
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Real-time changes to Social Dynamics in human-robot turn-taking
2015 IEEE RSJ International Conference on Intelligent Robots and Systems (IROS), 2015Co-Authors: Justin S. Smith, Crystal Chao, Andrea L. ThomazAbstract:In order for robots to work alongside humans in a range of domains, they will need to operate with a variety of Social Dynamics that each context will require. This paper builds on previous work with a parameterized turn-taking model, CADENCE, in which different parameter settings resulted in different Social Dynamics. In contrast to the static parameter settings of previous work, we now investigate the problem of changing these turn-taking parameter sets dynamically within a single interaction session. This ability is necessary for successful peer-to-peer collaborations, in which balance of control between leading and following must be maintained. We present our dynamic switching approach and an experiment with 15 participants. Our results confirm that it is possible to achieve the same changes in Social Dynamics within a single interaction session that were previously seen only between independent sessions of different parameter settings. Moreover, we show that such a change in Social Dynamics is contingent upon changing parameters at Socially appropriate turn boundaries.
Crystal Chao - One of the best experts on this subject based on the ideXlab platform.
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IROS - Real-time changes to Social Dynamics in human-robot turn-taking
2015 IEEE RSJ International Conference on Intelligent Robots and Systems (IROS), 2015Co-Authors: Justin S. Smith, Crystal Chao, Andrea L. ThomazAbstract:In order for robots to work alongside humans in a range of domains, they will need to operate with a variety of Social Dynamics that each context will require. This paper builds on previous work with a parameterized turn-taking model, CADENCE, in which different parameter settings resulted in different Social Dynamics. In contrast to the static parameter settings of previous work, we now investigate the problem of changing these turn-taking parameter sets dynamically within a single interaction session. This ability is necessary for successful peer-to-peer collaborations, in which balance of control between leading and following must be maintained. We present our dynamic switching approach and an experiment with 15 participants. Our results confirm that it is possible to achieve the same changes in Social Dynamics within a single interaction session that were previously seen only between independent sessions of different parameter settings. Moreover, we show that such a change in Social Dynamics is contingent upon changing parameters at Socially appropriate turn boundaries.
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Real-time changes to Social Dynamics in human-robot turn-taking
2015 IEEE RSJ International Conference on Intelligent Robots and Systems (IROS), 2015Co-Authors: Justin S. Smith, Crystal Chao, Andrea L. ThomazAbstract:In order for robots to work alongside humans in a range of domains, they will need to operate with a variety of Social Dynamics that each context will require. This paper builds on previous work with a parameterized turn-taking model, CADENCE, in which different parameter settings resulted in different Social Dynamics. In contrast to the static parameter settings of previous work, we now investigate the problem of changing these turn-taking parameter sets dynamically within a single interaction session. This ability is necessary for successful peer-to-peer collaborations, in which balance of control between leading and following must be maintained. We present our dynamic switching approach and an experiment with 15 participants. Our results confirm that it is possible to achieve the same changes in Social Dynamics within a single interaction session that were previously seen only between independent sessions of different parameter settings. Moreover, we show that such a change in Social Dynamics is contingent upon changing parameters at Socially appropriate turn boundaries.
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Controlling Social Dynamics with a parametrized model of floor regulation
Journal of Human-Robot Interaction, 2013Co-Authors: Crystal Chao, Andrea L. ThomazAbstract:Turn-taking is ubiquitous in human communication, yet turn-taking between humans and robots continues to be stilted and awkward for human users. The goal of our work is to build autonomous robot controllers for successfully engaging in human-like turn-taking interactions. Towards this end, we present CADENCE, a novel computational model and architecture that explicitly reasons about the four components of floor regulation: seizing the floor, yielding the floor, holding the floor, and auditing the owner of the floor. The model is parametrized to enable the robot to achieve a range of Social Dynamics for the human-robot dyad. In a between-groups experiment with 30 participants, our humanoid robot uses this turn-taking system at two contrasting parametrizations to engage users in autonomous object play interactions. Our results from the study show that: (1) manipulating these turn-taking parameters results in significantly different robot behavior; (2) people perceive the robot's behavioral differences and consequently attribute different personalities to the robot; and (3) changing the robot's personality results in different behavior from the human, manipulating the Social Dynamics of the dyad. We discuss the implications of this work for various contextual applications as well as the key limitations of the system to be addressed in future work.
Livio Gibelli - One of the best experts on this subject based on the ideXlab platform.
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toward a mathematical theory of behavioral Social Dynamics for pedestrian crowds
Mathematical Models and Methods in Applied Sciences, 2015Co-Authors: Nicola Bellomo, Livio GibelliAbstract:This paper presents a new approach to behavioral-Social Dynamics for pedestrian crowds by suitable development of mathematical tools of the kinetic theory. It is shown how pedestrians heterogeneity and the propagation of local unusual behaviors in the crowd can be accounted for. The proposed model is applied to the study of two groups of pedestrians walking in opposite directions in a crowded street and its predictive ability is demonstrated by showing that emerging behaviors, such as pedestrian segregation, can be depicted.
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toward a mathematical theory of behavioral Social Dynamics for pedestrian crowds
arXiv: Physics and Society, 2014Co-Authors: Nicola Bellomo, Livio GibelliAbstract:This paper presents a new approach to behavioral-Social Dynamics of pedestrian crowds by suitable development of methods of the kinetic theory. It is shown how heterogeneous individual behaviors can modify the collective Dynamics, as well as how local unusual behaviors can propagate in the crowd. The main feature of this approach is a detailed analysis of the interactions between Dynamics and Social behaviors.
C. Karpagam - One of the best experts on this subject based on the ideXlab platform.
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Identifying the Factors of Social Dynamics among the Drip Users - A Socio-Technological Enquiry
Indian Research Journal of Extension Education, 2016Co-Authors: C. KarpagamAbstract:Social-Dynamics exists in a society plays a major role in adoption of any technologies and determined by various external and internal factors. Identification of the the factors influencing the Social Dynamics is one of the arduous tasks in front of the Social scientists. This research paper tries to ascertain the factors responsible for Social Dynamics among the different categories of drip users. Three different categories of drip users viz sugarcane, onion and leaf banana growers were selected for the study. From each category, 40 respondents were selected based on proportionate random sampling method and thus 120 respondents were constituted for the study. The present study was carried out in Coimbatore South and Udumalpet taluk of Coimbatore district with the objective to quantify the overall Social-Dynamics exists among the respondents as well as to find out the factors responsible for SocialDynamics. Principle component analysis and factor analysis reveled that Social Dynamics of a society could be determined by the factors such as Social structure, Social network and Social issue. Among these factors, Social structure accounted for the maximum percentage of the total variance on the overall Social-Dynamics followed by Social network and Social-issues factors.
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Influence of Profile Characteristics on Social-Dynamics Among Sugarcane Drip Users and Non-drip Users: A Farm Level Enquiry
Sugar Tech, 2013Co-Authors: C. Karpagam, V. Ravichandran, P. Murali, D. Puthira Prathap, T. Rajula ShanthyAbstract:Social-Dynamics exists in the Social system determines the extent of adoption of any scientific technologies. This research paper tries to find out the Social-Dynamics exists between drip and non-drip users in sugarcane production system. The present investigation was carried out in Udumalpet taluk of Coimbatore district with 40 sugarcane drip users and 40 non-drip users during 2008–2009. Multi-stage with proportionate random sampling method has been used to select the samples. The results revealed that higher existence of Social-Dynamics among drip users compared to non-drip users. Social-Dynamics index (SDI) analysis revealed that sugarcane drip users had 0.74 whereas non-drip users had 0.65 SDI. Further the study revealed that sugarcane drip users were strong in developmental oriented indicators, whereas more stratification and strong Social problems were observed among non-drip users. Finally step-down regression analysis was used to find out the most influencing profile characteristics on Social-Dynamics of sugarcane drip users.
