The Experts below are selected from a list of 103233 Experts worldwide ranked by ideXlab platform
Jeffrey M Bradshaw - One of the best experts on this subject based on the ideXlab platform.
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coactive design designing support for interdependence in Joint Activity
Human-Robot Interaction, 2014Co-Authors: Matthew Johnson, Catholijn M Jonker, Paul J Feltovich, Jeffrey M Bradshaw, Birna M Van Riemsdijk, Maarten SierhuisAbstract:Coactive Design is a new approach to address the increasingly sophisticated roles that people and robots play as the use of robots expands into new, complex domains. The approach is motivated by the desire for robots to perform less like teleoperated tools or independent automatons and more like interdependent teammates. In this article, we describe what it means to be interdependent, why this is important, and the design implications that follow from this perspective. We argue for a human-robot system model that supports interdependence through careful attention to requirements for observability, predictability, and directability. We present a Coactive Design method and show how it can be a useful approach for developers trying to understand how to translate high-level teamwork concepts into reusable control algorithms, interface elements, and behaviors that enable robots to fulfill their envisioned role as teammates. As an example of the coactive design approach, we present our results from the DARPA Virtual Robotics Challenge, a competition designed to spur development of advanced robots that can assist humans in recovering from natural and man-made disasters. Twenty-six teams from eight countries competed in three different tasks providing an excellent evaluation of the relative effectiveness of different approaches to human-machine system design.
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Joint Activity testbed blocks world for teams bw4t
Lecture Notes in Computer Science, 2009Co-Authors: Matthew Johnson, Catholijn M Jonker, Birna Van Riemsdijk, Paul J Feltovich, Jeffrey M BradshawAbstract:This demonstration will be the presentation of a new testbed for Joint Activity. The domain for this demonstration will be similar to the classic AI planning problem of Blocks World (BW) extended into what we are calling Blocks World for Teams (BW4T). By teams, we mean at least two, but usually more members. Additionally, we do not restrict the membership to artificial agents, but include and in fact expect human team members. Study of Joint Activity of heterogeneous teams is the main function of the BW4T testbed.
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ESAW - Joint Activity Testbed: Blocks World for Teams (BW4T)
Engineering Societies in the Agents World X, 2009Co-Authors: Matthew Johnson, Catholijn M Jonker, Birna Van Riemsdijk, Paul J Feltovich, Jeffrey M BradshawAbstract:This demonstration will be the presentation of a new testbed for Joint Activity. The domain for this demonstration will be similar to the classic AI planning problem of Blocks World (BW) extended into what we are calling Blocks World for Teams (BW4T). By teams, we mean at least two, but usually more members. Additionally, we do not restrict the membership to artificial agents, but include and in fact expect human team members. Study of Joint Activity of heterogeneous teams is the main function of the BW4T testbed.
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HCI (10) - From Tools to Teammates: Joint Activity in Human-Agent-Robot Teams
Human Centered Design, 2009Co-Authors: Jeffrey M Bradshaw, Matthew Johnson, Paul J Feltovich, Maggie Breedy, Larry Bunch, Thomas C. Eskridge, Hyuckchul Jung, J. Lott, Andrzej Uszok, Jurriaan Van DiggelenAbstract:Coordination is an essential ingredient of Joint Activity in human-agent-robot teams. In this paper, we discuss some of the challenges and requirements for successful coordination, and briefly how we have used KAoS HART services framework to support coordination in a multi-team human-robot field exercise.
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ESAW - Progress Appraisal as a Challenging Element of Coordination in Human and Machine Joint Activity
Engineering Societies in the Agents World VIII, 1Co-Authors: Paul J Feltovich, Matthew Johnson, Jeffrey M Bradshaw, William J. Clancey, Larry BunchAbstract:Joint Activity, as we define it, is a mutually interdependent social endeavor that requires sufficient predictability among participating parties to enable coordination. Coordination, in turn, sometimes requires the parties to appraise the state of progress of their activities so that, if necessary, they can adjust their actions to meet coordination needs and communicate their status to others as appropriate. A significant impediment as yet precluding the full participation of automation in Joint Activity with people is its inability to sense and communicate aspects of its state that would allow other participants to meaningfully assess progress toward (or anticipate failure with respect to) mutual objectives. In the current article, we address various issues associated with "progress appraisal" and the challenges it poses for human-machine systems. We point to promising directions for future work.
Matthew Johnson - One of the best experts on this subject based on the ideXlab platform.
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coactive design designing support for interdependence in Joint Activity
Human-Robot Interaction, 2014Co-Authors: Matthew Johnson, Catholijn M Jonker, Paul J Feltovich, Jeffrey M Bradshaw, Birna M Van Riemsdijk, Maarten SierhuisAbstract:Coactive Design is a new approach to address the increasingly sophisticated roles that people and robots play as the use of robots expands into new, complex domains. The approach is motivated by the desire for robots to perform less like teleoperated tools or independent automatons and more like interdependent teammates. In this article, we describe what it means to be interdependent, why this is important, and the design implications that follow from this perspective. We argue for a human-robot system model that supports interdependence through careful attention to requirements for observability, predictability, and directability. We present a Coactive Design method and show how it can be a useful approach for developers trying to understand how to translate high-level teamwork concepts into reusable control algorithms, interface elements, and behaviors that enable robots to fulfill their envisioned role as teammates. As an example of the coactive design approach, we present our results from the DARPA Virtual Robotics Challenge, a competition designed to spur development of advanced robots that can assist humans in recovering from natural and man-made disasters. Twenty-six teams from eight countries competed in three different tasks providing an excellent evaluation of the relative effectiveness of different approaches to human-machine system design.
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Joint Activity testbed blocks world for teams bw4t
Lecture Notes in Computer Science, 2009Co-Authors: Matthew Johnson, Catholijn M Jonker, Birna Van Riemsdijk, Paul J Feltovich, Jeffrey M BradshawAbstract:This demonstration will be the presentation of a new testbed for Joint Activity. The domain for this demonstration will be similar to the classic AI planning problem of Blocks World (BW) extended into what we are calling Blocks World for Teams (BW4T). By teams, we mean at least two, but usually more members. Additionally, we do not restrict the membership to artificial agents, but include and in fact expect human team members. Study of Joint Activity of heterogeneous teams is the main function of the BW4T testbed.
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ESAW - Joint Activity Testbed: Blocks World for Teams (BW4T)
Engineering Societies in the Agents World X, 2009Co-Authors: Matthew Johnson, Catholijn M Jonker, Birna Van Riemsdijk, Paul J Feltovich, Jeffrey M BradshawAbstract:This demonstration will be the presentation of a new testbed for Joint Activity. The domain for this demonstration will be similar to the classic AI planning problem of Blocks World (BW) extended into what we are calling Blocks World for Teams (BW4T). By teams, we mean at least two, but usually more members. Additionally, we do not restrict the membership to artificial agents, but include and in fact expect human team members. Study of Joint Activity of heterogeneous teams is the main function of the BW4T testbed.
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HCI (10) - From Tools to Teammates: Joint Activity in Human-Agent-Robot Teams
Human Centered Design, 2009Co-Authors: Jeffrey M Bradshaw, Matthew Johnson, Paul J Feltovich, Maggie Breedy, Larry Bunch, Thomas C. Eskridge, Hyuckchul Jung, J. Lott, Andrzej Uszok, Jurriaan Van DiggelenAbstract:Coordination is an essential ingredient of Joint Activity in human-agent-robot teams. In this paper, we discuss some of the challenges and requirements for successful coordination, and briefly how we have used KAoS HART services framework to support coordination in a multi-team human-robot field exercise.
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ESAW - Progress Appraisal as a Challenging Element of Coordination in Human and Machine Joint Activity
Engineering Societies in the Agents World VIII, 1Co-Authors: Paul J Feltovich, Matthew Johnson, Jeffrey M Bradshaw, William J. Clancey, Larry BunchAbstract:Joint Activity, as we define it, is a mutually interdependent social endeavor that requires sufficient predictability among participating parties to enable coordination. Coordination, in turn, sometimes requires the parties to appraise the state of progress of their activities so that, if necessary, they can adjust their actions to meet coordination needs and communicate their status to others as appropriate. A significant impediment as yet precluding the full participation of automation in Joint Activity with people is its inability to sense and communicate aspects of its state that would allow other participants to meaningfully assess progress toward (or anticipate failure with respect to) mutual objectives. In the current article, we address various issues associated with "progress appraisal" and the challenges it poses for human-machine systems. We point to promising directions for future work.
Paul J Feltovich - One of the best experts on this subject based on the ideXlab platform.
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coactive design designing support for interdependence in Joint Activity
Human-Robot Interaction, 2014Co-Authors: Matthew Johnson, Catholijn M Jonker, Paul J Feltovich, Jeffrey M Bradshaw, Birna M Van Riemsdijk, Maarten SierhuisAbstract:Coactive Design is a new approach to address the increasingly sophisticated roles that people and robots play as the use of robots expands into new, complex domains. The approach is motivated by the desire for robots to perform less like teleoperated tools or independent automatons and more like interdependent teammates. In this article, we describe what it means to be interdependent, why this is important, and the design implications that follow from this perspective. We argue for a human-robot system model that supports interdependence through careful attention to requirements for observability, predictability, and directability. We present a Coactive Design method and show how it can be a useful approach for developers trying to understand how to translate high-level teamwork concepts into reusable control algorithms, interface elements, and behaviors that enable robots to fulfill their envisioned role as teammates. As an example of the coactive design approach, we present our results from the DARPA Virtual Robotics Challenge, a competition designed to spur development of advanced robots that can assist humans in recovering from natural and man-made disasters. Twenty-six teams from eight countries competed in three different tasks providing an excellent evaluation of the relative effectiveness of different approaches to human-machine system design.
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Joint Activity testbed blocks world for teams bw4t
Lecture Notes in Computer Science, 2009Co-Authors: Matthew Johnson, Catholijn M Jonker, Birna Van Riemsdijk, Paul J Feltovich, Jeffrey M BradshawAbstract:This demonstration will be the presentation of a new testbed for Joint Activity. The domain for this demonstration will be similar to the classic AI planning problem of Blocks World (BW) extended into what we are calling Blocks World for Teams (BW4T). By teams, we mean at least two, but usually more members. Additionally, we do not restrict the membership to artificial agents, but include and in fact expect human team members. Study of Joint Activity of heterogeneous teams is the main function of the BW4T testbed.
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ESAW - Joint Activity Testbed: Blocks World for Teams (BW4T)
Engineering Societies in the Agents World X, 2009Co-Authors: Matthew Johnson, Catholijn M Jonker, Birna Van Riemsdijk, Paul J Feltovich, Jeffrey M BradshawAbstract:This demonstration will be the presentation of a new testbed for Joint Activity. The domain for this demonstration will be similar to the classic AI planning problem of Blocks World (BW) extended into what we are calling Blocks World for Teams (BW4T). By teams, we mean at least two, but usually more members. Additionally, we do not restrict the membership to artificial agents, but include and in fact expect human team members. Study of Joint Activity of heterogeneous teams is the main function of the BW4T testbed.
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HCI (10) - From Tools to Teammates: Joint Activity in Human-Agent-Robot Teams
Human Centered Design, 2009Co-Authors: Jeffrey M Bradshaw, Matthew Johnson, Paul J Feltovich, Maggie Breedy, Larry Bunch, Thomas C. Eskridge, Hyuckchul Jung, J. Lott, Andrzej Uszok, Jurriaan Van DiggelenAbstract:Coordination is an essential ingredient of Joint Activity in human-agent-robot teams. In this paper, we discuss some of the challenges and requirements for successful coordination, and briefly how we have used KAoS HART services framework to support coordination in a multi-team human-robot field exercise.
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ESAW - Progress Appraisal as a Challenging Element of Coordination in Human and Machine Joint Activity
Engineering Societies in the Agents World VIII, 1Co-Authors: Paul J Feltovich, Matthew Johnson, Jeffrey M Bradshaw, William J. Clancey, Larry BunchAbstract:Joint Activity, as we define it, is a mutually interdependent social endeavor that requires sufficient predictability among participating parties to enable coordination. Coordination, in turn, sometimes requires the parties to appraise the state of progress of their activities so that, if necessary, they can adjust their actions to meet coordination needs and communicate their status to others as appropriate. A significant impediment as yet precluding the full participation of automation in Joint Activity with people is its inability to sense and communicate aspects of its state that would allow other participants to meaningfully assess progress toward (or anticipate failure with respect to) mutual objectives. In the current article, we address various issues associated with "progress appraisal" and the challenges it poses for human-machine systems. We point to promising directions for future work.
Xiao Fu - One of the best experts on this subject based on the ideXlab platform.
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Modelling Joint Activity-travel pattern scheduling problem in multi-modal transit networks
Transportation, 2016Co-Authors: Xiao FuAbstract:Over the past decades, many Activity-based travel behaviour models have been proposed based on individuals’ independent decision making. The modelling of individuals’ Joint Activity/travel choices, however, has received less attention. In reality, both independent and Joint activities/travels form individual’s normal daily Activity-travel patterns. Travel surveys have indicated that Joint Activity/travel constitutes an important part in individuals’ daily Activity-travel patterns. On this basis, explicit modelling of Joint Activity/travel choices is an essential component for long-term transport planning. In this study, an Activity-based network equilibrium model is proposed for scheduling two-individual Joint Activity-travel patterns (JATPs) in congested multi-modal transit networks. The proposed model can be used to comprehensively investigate individuals’ Activity choices (e.g. Activity start time and duration, Activity sequence) and travel choices (e.g. departure time, route and mode) in multi-modal transit networks, including both independent ones and Joint ones. The time-dependent JATP choice problem is converted into an equivalent static user equilibrium model by constructing a Joint-Activity-time-space (JATS) super-network platform. Joint travel benefit is modelled by incorporating a commonality factor in the JATP utility. A solution algorithm without prior JATP enumeration is proposed to solve the JATP scheduling problem on the JATS super-network. Numerical results show that individuals’ independent and Joint Activity/travel choices can be simultaneously investigated by the proposed model. The impacts of Joint travel benefit on individuals’ independent and Joint Activity-travel choices are explicitly investigated.
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Modelling Joint Activity-travel pattern scheduling problem in multi-modal transit networks
2015Co-Authors: Xiao FuAbstract:Travel demands are derived from the desire of people to participate in various financially and socially stimulated activities such as work, eating and shopping. Over the past decades, to perceive the underlying motivation of trip making, increased attention has been given to the Activity-based approach in travel behaviour modelling. Many Activity-based travel behaviour models have been proposed based on individuals’ independent decision making. Individuals’ Joint decisions, however, are not explicitly considered. In reality, both independent and Joint activities/travels form individual’s normal daily Activity-travel patterns (DATPs). Travel surveys have indicated that Joint participation in activities and travels represent a substantial portion of individuals’ DATPs. On this basis, explicit modelling of Joint Activity and travel choice behaviour is a natural and necessary component in long-term transport planning and policy analysis. In many Asian cities such as Hong Kong, most daily travel is conducted using various public transit modes (over 90% in Hong Kong) rather than privately owned cars. Joint travels using public transit constitutes an important part in individuals’ DATPs. The consideration of Joint Activity-travel choice behaviour in long-term transit planning is an important research area, as yet largely unexplored. Hence, in this paper, an Activity-based network equilibrium model is proposed for scheduling two-individual Joint Activity-travel patterns (JATPs) in multi-modal transit networks. The proposed model can be used to comprehensively investigate individuals’ Activity choices (i.e. Activity start time and duration, Activity sequence, and Activity location) and travel choices (i.e. departure time, route and mode) in multi-modal transit networks, including both independent ones and Joint ones. In this proposed network equilibrium model for JATP scheduling, a measure of JATP utility is proposed to model the Joint travel benefit. The effect of Joint travel length is explicitly considered in the JATP utility. The time-dependent JATP choice problem is converted into an equivalent static user equilibrium model by constructing a Joint-Activity-time-space super-network platform. Flexible Activity start time and duration are incorporated in the proposed model. Both in vehicle and at Activity location crowding discomforts are considered. Using the JATS super-network platform, we can explicitly address the individuals’ independent and Joint Activity/travel choices simultaneously. An efficient solution algorithm without prior JATP enumeration is proposed to solve the JATP scheduling problem on the JATS super-network. The relationship between Activity and travel choices can be effectively captured by solving the JATP scheduling problem on the JATS super-network platform. The proposed JATP scheduling model extends existing theories by developing a unified framework to capture both independent and Joint Activity/travel choices in congested multi-modal transit networks. The ultimate aim of the proposed model is to assess the effects of alternative transport policies and to be used for future long-term strategic planning. Numerical examples are used to show the practicability and performance of the proposed model for JATP scheduling. The numerical results illustrate that the individuals’ independent and Joint Activity/travel choices can be simultaneously investigated by the proposed model. Individuals’ preference towards Joint travel can be explicitly investigated, and the impacts of Joint travel benefit on individuals’ independent and Joint Activity/travel choices can be intensively explored.
Catholijn M Jonker - One of the best experts on this subject based on the ideXlab platform.
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coactive design designing support for interdependence in Joint Activity
Human-Robot Interaction, 2014Co-Authors: Matthew Johnson, Catholijn M Jonker, Paul J Feltovich, Jeffrey M Bradshaw, Birna M Van Riemsdijk, Maarten SierhuisAbstract:Coactive Design is a new approach to address the increasingly sophisticated roles that people and robots play as the use of robots expands into new, complex domains. The approach is motivated by the desire for robots to perform less like teleoperated tools or independent automatons and more like interdependent teammates. In this article, we describe what it means to be interdependent, why this is important, and the design implications that follow from this perspective. We argue for a human-robot system model that supports interdependence through careful attention to requirements for observability, predictability, and directability. We present a Coactive Design method and show how it can be a useful approach for developers trying to understand how to translate high-level teamwork concepts into reusable control algorithms, interface elements, and behaviors that enable robots to fulfill their envisioned role as teammates. As an example of the coactive design approach, we present our results from the DARPA Virtual Robotics Challenge, a competition designed to spur development of advanced robots that can assist humans in recovering from natural and man-made disasters. Twenty-six teams from eight countries competed in three different tasks providing an excellent evaluation of the relative effectiveness of different approaches to human-machine system design.
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Joint Activity testbed blocks world for teams bw4t
Lecture Notes in Computer Science, 2009Co-Authors: Matthew Johnson, Catholijn M Jonker, Birna Van Riemsdijk, Paul J Feltovich, Jeffrey M BradshawAbstract:This demonstration will be the presentation of a new testbed for Joint Activity. The domain for this demonstration will be similar to the classic AI planning problem of Blocks World (BW) extended into what we are calling Blocks World for Teams (BW4T). By teams, we mean at least two, but usually more members. Additionally, we do not restrict the membership to artificial agents, but include and in fact expect human team members. Study of Joint Activity of heterogeneous teams is the main function of the BW4T testbed.
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ESAW - Joint Activity Testbed: Blocks World for Teams (BW4T)
Engineering Societies in the Agents World X, 2009Co-Authors: Matthew Johnson, Catholijn M Jonker, Birna Van Riemsdijk, Paul J Feltovich, Jeffrey M BradshawAbstract:This demonstration will be the presentation of a new testbed for Joint Activity. The domain for this demonstration will be similar to the classic AI planning problem of Blocks World (BW) extended into what we are calling Blocks World for Teams (BW4T). By teams, we mean at least two, but usually more members. Additionally, we do not restrict the membership to artificial agents, but include and in fact expect human team members. Study of Joint Activity of heterogeneous teams is the main function of the BW4T testbed.
