The Experts below are selected from a list of 193611 Experts worldwide ranked by ideXlab platform
Sarah Cosentino - One of the best experts on this subject based on the ideXlab platform.
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impression survey of the emotion expression humanoid robot with Mental Model based dynamic emotions
International Conference on Robotics and Automation, 2013Co-Authors: Tatsuhiro Kishi, Nobutsuna Endo, T Kojima, Matthieu Destephe, Takuya Otani, Lorenzo Jamone, Przemyslaw Kryczka, Gabriele Trovato, Kenji Hashimoto, Sarah CosentinoAbstract:This paper describes the implementation in a walking humanoid robot of a Mental Model, allowing the dynamical change of the emotional state of the robot based on external stimuli; the emotional state affects the robot decisions and behavior, and it is expressed with both facial and whole-body patterns. The Mental Model is applied to KOBIAN-R, a 65-DoFs whole body humanoid robot designed for human-robot interaction and emotion expression. To evaluate the importance of the proposed system in the framework of human-robot interaction and communication, we conducted a survey by showing videos of the robot behaviors to a group of 30 subjects. The results show that the integration of dynamical emotion expression and locomotion makes the humanoid robot more appealing to humans, as it is perceived as more “favorable” and “useful”, and less “robot-like".
Guttorm Brattebo - One of the best experts on this subject based on the ideXlab platform.
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high performing trauma teams frequency of behavioral markers of a shared Mental Model displayed by team leaders and quality of medical performance
Scandinavian Journal of Trauma Resuscitation and Emergency Medicine, 2017Co-Authors: Bjorn Helge Johnsen, Heidi Kristina Westli, Roar Espevik, Torben Wisborg, Guttorm BratteboAbstract:High quality team leadership is important for the outcome of medical emergencies. However, the behavioral marker of leadership are not well defined. The present study investigated frequency of behavioral markers of shared Mental Models (SMM) on quality of medical management. Training video recordings of 27 trauma teams simulating emergencies were analyzed according to team -leader’s frequency of shared Mental Model behavioral markers. The results showed a positive correlation of quality of medical management with leaders sharing information without an explicit demand for the information (“push” of information) and with leaders communicating their situational awareness (SA) and demonstrating implicit supporting behavior. When separating the sample into higher versus lower performing teams, the higher performing teams had leaders who displayed a greater frequency of “push” of information and communication of SA and supportive behavior. No difference was found for the behavioral marker of team initiative, measured as bringing up suggestions to other teammembers. The results of this study emphasize the team leader’s role in initiating and updating a team’s shared Mental Model. Team leaders should also set expectations for acceptable interaction patterns (e.g., promoting information exchange) and create a team climate that encourages behaviors, such as mutual performance monitoring, backup behavior, and adaptability to enhance SMM.
Deborah Richards - One of the best experts on this subject based on the ideXlab platform.
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the impact of virtual agent personality on a shared Mental Model with humans during collaboration
Adaptive Agents and Multi-Agents Systems, 2015Co-Authors: Nader Hanna, Deborah RichardsAbstract:The development of a Shared Mental Model (SMM) between team members and effective communication of the shared knowledge have been found to improve teamwork performance. However, humans may differ in how they produce and perceive communication acts according to their personality traits and this will affect development of the SMM. Whether, this is true of heterogeneous teams involving human and intelligent virtual agents (IVAs) is unknown. In this paper, we explore the impact of IVA's with two different combinations of personality traits, i.e. extraversion and agreeableness, on the development of a SMM with human teammates. Additionally, this study investigated the influence of the match in the two personality traits between IVAs and humans on the development of a SMM. The results showed that agreeable IVAs positively impacted on the development of taskwork and teamwork SMMs; whereas extraversion did not influence development of the SMM. Moreover, when the collaborating human and IVA had matching agreeableness personality traits there was a positive influence on the SMM between them and better performance outcomes.
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the impact of virtual agent personality on a shared Mental Model with humans during collaboration extended abstract
2015Co-Authors: Nader Hanna, Deborah RichardsAbstract:The development of a Shared Mental Model (SMM) between team members and effective communication of the shared knowledge have been found to improve teamwork performance. However, humans may differ in how they produce and perceive communication acts according to their personality traits and this will affect development of the SMM. Whether, this is true of heterogeneous teams involving human and intelligent virtual agents (IVAs) is unknown. In this paper, we explore the impact of IVA’s with two different combinations of personality traits, i.e. extraversion and agreeableness, on the development of a SMM with human teammates. Additionally, this study investigated the influence of the match in the two personality traits between IVAs and humans on the development of a SMM. The results showed that agreeable IVAs positively impacted on the development of taskwork and teamwork SMMs; whereas extraversion did not influence development of the SMM. Moreover, when the collaborating human and IVA had matching agreeableness personality traits there was a positive influence on the SMM between them and better performance outcomes.
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the impact of communication on a human agent shared Mental Model and team performance
Adaptive Agents and Multi-Agents Systems, 2014Co-Authors: Nader Hanna, Deborah RichardsAbstract:There is a growing interest in the use of heterogeneous teams comprised of humans and Intelligent Virtual Agents (IVAs). Human teamwork studies have provided cumulative knowledge about team features and performance; however, transfer of this knowledge to human-IVA teams is challenging. Novelly, this paper investigates the impact of multiple communication channels on the development and maintenance of a Shared Mental Model (SMM) between humans and IVAs. The results from two studies involving a collaborative activity show a significant positive relationship between the IVA's verbal and non-verbal communication and the development of a SMM related to taskwork and teamwork as perceived by the human teammate. Moreover, the results indicate that a SMM tends to improve overall team performance.
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the impact of communication on a human agent shared Mental Model and team performance extended abstract
2014Co-Authors: Nader Hanna, Deborah RichardsAbstract:is a growing interest in the use of heterogeneous teams comprised of humans and Intelligent Virtual Agents (IVAs). Human teamwork studies have provided cumulative knowledge about team features and performance; however, transfer of this knowledge to human-IVA teams is challenging. Novelly, this paper investigates the impact of multiple communication channels on the development and maintenance of a Shared Mental Model (SMM) between humans and IVAs. The results from two studies involving a collaborative activity show a significant positive relationship between the IVA's verbal and non-verbal communication and the development of a SMM related to taskwork and teamwork as perceived by the human teammate. Moreover, the results indicate that a SMM tends to improve overall team performance.
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evaluating the impact of the human agent teamwork communication Model hat com on the development of a shared Mental Model
Pacific Rim International Conference on Multi-Agents, 2013Co-Authors: Nader Hanna, Deborah Richards, Michael HitchensAbstract:It is well known that the development of a Shared Mental Model (SMM) leads to better teamwork performance. Communication of shared knowledge is considered a crucial factor in successful teamwork. In this paper, we evaluate the impact of applying a proposed Human-Agent Teamwork Communication Model, namely HAT-CoM, on the development of SMM between human and agent teammates. Another aim of the paper is to investigate the impact of an implausible or unreasonable request on the SMM. The results show that HAT-CoM is effective in assisting the human and agent teammates to develop SMM. In addition, the results show that an implausible request breaks the developed SMM.
Nader Hanna - One of the best experts on this subject based on the ideXlab platform.
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the impact of virtual agent personality on a shared Mental Model with humans during collaboration
Adaptive Agents and Multi-Agents Systems, 2015Co-Authors: Nader Hanna, Deborah RichardsAbstract:The development of a Shared Mental Model (SMM) between team members and effective communication of the shared knowledge have been found to improve teamwork performance. However, humans may differ in how they produce and perceive communication acts according to their personality traits and this will affect development of the SMM. Whether, this is true of heterogeneous teams involving human and intelligent virtual agents (IVAs) is unknown. In this paper, we explore the impact of IVA's with two different combinations of personality traits, i.e. extraversion and agreeableness, on the development of a SMM with human teammates. Additionally, this study investigated the influence of the match in the two personality traits between IVAs and humans on the development of a SMM. The results showed that agreeable IVAs positively impacted on the development of taskwork and teamwork SMMs; whereas extraversion did not influence development of the SMM. Moreover, when the collaborating human and IVA had matching agreeableness personality traits there was a positive influence on the SMM between them and better performance outcomes.
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the impact of virtual agent personality on a shared Mental Model with humans during collaboration extended abstract
2015Co-Authors: Nader Hanna, Deborah RichardsAbstract:The development of a Shared Mental Model (SMM) between team members and effective communication of the shared knowledge have been found to improve teamwork performance. However, humans may differ in how they produce and perceive communication acts according to their personality traits and this will affect development of the SMM. Whether, this is true of heterogeneous teams involving human and intelligent virtual agents (IVAs) is unknown. In this paper, we explore the impact of IVA’s with two different combinations of personality traits, i.e. extraversion and agreeableness, on the development of a SMM with human teammates. Additionally, this study investigated the influence of the match in the two personality traits between IVAs and humans on the development of a SMM. The results showed that agreeable IVAs positively impacted on the development of taskwork and teamwork SMMs; whereas extraversion did not influence development of the SMM. Moreover, when the collaborating human and IVA had matching agreeableness personality traits there was a positive influence on the SMM between them and better performance outcomes.
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the impact of communication on a human agent shared Mental Model and team performance
Adaptive Agents and Multi-Agents Systems, 2014Co-Authors: Nader Hanna, Deborah RichardsAbstract:There is a growing interest in the use of heterogeneous teams comprised of humans and Intelligent Virtual Agents (IVAs). Human teamwork studies have provided cumulative knowledge about team features and performance; however, transfer of this knowledge to human-IVA teams is challenging. Novelly, this paper investigates the impact of multiple communication channels on the development and maintenance of a Shared Mental Model (SMM) between humans and IVAs. The results from two studies involving a collaborative activity show a significant positive relationship between the IVA's verbal and non-verbal communication and the development of a SMM related to taskwork and teamwork as perceived by the human teammate. Moreover, the results indicate that a SMM tends to improve overall team performance.
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the impact of communication on a human agent shared Mental Model and team performance extended abstract
2014Co-Authors: Nader Hanna, Deborah RichardsAbstract:is a growing interest in the use of heterogeneous teams comprised of humans and Intelligent Virtual Agents (IVAs). Human teamwork studies have provided cumulative knowledge about team features and performance; however, transfer of this knowledge to human-IVA teams is challenging. Novelly, this paper investigates the impact of multiple communication channels on the development and maintenance of a Shared Mental Model (SMM) between humans and IVAs. The results from two studies involving a collaborative activity show a significant positive relationship between the IVA's verbal and non-verbal communication and the development of a SMM related to taskwork and teamwork as perceived by the human teammate. Moreover, the results indicate that a SMM tends to improve overall team performance.
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evaluating the impact of the human agent teamwork communication Model hat com on the development of a shared Mental Model
Pacific Rim International Conference on Multi-Agents, 2013Co-Authors: Nader Hanna, Deborah Richards, Michael HitchensAbstract:It is well known that the development of a Shared Mental Model (SMM) leads to better teamwork performance. Communication of shared knowledge is considered a crucial factor in successful teamwork. In this paper, we evaluate the impact of applying a proposed Human-Agent Teamwork Communication Model, namely HAT-CoM, on the development of SMM between human and agent teammates. Another aim of the paper is to investigate the impact of an implausible or unreasonable request on the SMM. The results show that HAT-CoM is effective in assisting the human and agent teammates to develop SMM. In addition, the results show that an implausible request breaks the developed SMM.
Tatsuhiro Kishi - One of the best experts on this subject based on the ideXlab platform.
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impression survey of the emotion expression humanoid robot with Mental Model based dynamic emotions
International Conference on Robotics and Automation, 2013Co-Authors: Tatsuhiro Kishi, Nobutsuna Endo, T Kojima, Matthieu Destephe, Takuya Otani, Lorenzo Jamone, Przemyslaw Kryczka, Gabriele Trovato, Kenji Hashimoto, Sarah CosentinoAbstract:This paper describes the implementation in a walking humanoid robot of a Mental Model, allowing the dynamical change of the emotional state of the robot based on external stimuli; the emotional state affects the robot decisions and behavior, and it is expressed with both facial and whole-body patterns. The Mental Model is applied to KOBIAN-R, a 65-DoFs whole body humanoid robot designed for human-robot interaction and emotion expression. To evaluate the importance of the proposed system in the framework of human-robot interaction and communication, we conducted a survey by showing videos of the robot behaviors to a group of 30 subjects. The results show that the integration of dynamical emotion expression and locomotion makes the humanoid robot more appealing to humans, as it is perceived as more “favorable” and “useful”, and less “robot-like".
