Using mixed-initiative human-robot interaction to bound performance in a search task

Nielsen, Curtis W.; Few, Douglas A.; Athey, D.S.

doi:10.1109/issnip.2008.4761986

Cited by 13 publications

(12 citation statements)

References 18 publications

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“…Additional confounding factors include the robot having different speed limits in the different conditions tested [11], or different navigation strategies of human operators [4]. In contrast to our work, Nielsen et al [15] report no significant primary task results due to large measurement variances, but they do present a method for systematically categorizing the different navigational strategies of human operators.…”

Section: Related Workcontrasting

confidence: 84%

Experimental analysis of a variable autonomy framework for controlling a remotely operating mobile robot

Chiou

Bieksaite

Hawes

et al. 2016

2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

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Section: Related Workcontrasting

confidence: 84%

Experimental analysis of a variable autonomy framework for controlling a remotely operating mobile robot

Chiou

Bieksaite

Hawes

et al. 2016

2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

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“…Mixed-initiative solutions in combination with sensors and contextual have improved the system performance and reduced the system uncertainty. It has been used in intelligent agents [15] to guide the agent how to interact with human users and other researchers [16] used the concept of mixed imitative interactions and sensors to improve search in dangerous environment. However, they did not address performance in relation to data size.…”

Section: Discussionmentioning

confidence: 99%

Intelligent interactive system for collaborative green computing

Chao

Shah

Matei

et al. 2011

Proceedings of the 2011 15th International Conference on Computer Supported Cooperative Work in Design (CSCWD)

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Designing an effective and efficient intelligent interactive system for energy conservation in domestic environment requires considerable deliberations on tradeoffs of meeting the criteria derived from human-machine interaction and reasoning mechanism, so the system can provide the users with right information based on right decisions at right time. In this paper, we report a mixed initiative intelligent system that employs multi-modal sensor system, context awareness model, semantics, and service-oriented architecture to provide real-time energy consumption information and recommendations for positive behaviour change on households' energy consumption. The system adopts concept of On-Line Analytical Process (OLAP) to summarise large volume of data generated from energy consumption monitoring sensors into a set of meaningful information for the intelligent system to reason. ServiceOriented Architecture (SOA) is used to model hardware and software components, so they can be composed flexibly to meet the user and system requests. The system is currently deployed in around 250 households across Europe for evaluation. Initial households' feedbacks are encouraging.

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“…This could result in mixed-initiative systems that are heavily one-sided and human-centered; that is, only the human can intervene to seize initiative from the robot while the robot cannot seize control from the human operator; which is evident in the state of practice presented in Section IV. Furthermore, as an indication of a lack of clear consensus on the application of mixed-initiative interaction to the robotic context, researchers [21][22][23] have designed mixedinitiative human-robot systems that we believe are not truly mixed-initiative according to existing design philosophies and principles (e.g., opportunistic intervention) of mixedinitiative interaction. Thus, what mixed-initiative interaction means for human-robot teamwork needs to be clearly defined in order to provide a clear vision of an effective mixedinitiative human-robot team, on which research efforts can be focused on to realize.…”

Section: Report Documentation Pagementioning

confidence: 99%

“…While the joystick interface provides a mean for both human and robot to take initiative depends on the situation, the interface is limited to low-level control of robot motion. Similarly, in Nielsen et al [22], a human-robot team is tasked with the mission to explore a building and locate two radiation sources, where the operator controlled the robot via a joystick and the robot was given initiative to prevent collisions with obstacles by inhibiting movement towards detected obstacles. Ali and Arkin [49] presented a schema-based approach for incorporating human and robot contributions to the overall behavior of a robot team in executing tasks.…”

Section: B Slightly-joint Reactive Not Coordinatedmentioning

confidence: 99%

Mixed-Initiative Human-Robot Interaction: Definition, Taxonomy, and Survey

Jiang¹,

Arkin²

2015

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Abstract-The objectives of this article are: 1) to present a taxonomy for mixed-initiative human-robot interaction and 2) to survey its state of practice through the examination of past research along each taxonomical dimension. The paper starts with some definitions of mixed-initiative interaction (MII) from the perspective of human-computer interaction (HCI) to introduce the basic concepts of MII. We then synthesize these definitions to the robotic context for mixed-initiative humanrobot teams. A taxonomy for mixed-initiative in human-robot interaction is then presented. The goal of the taxonomy is to inform the design of mixed-initiative human-robot systems by identifying key elements of these systems. The state of practice of mixed-initiative human-robot interaction is then surveyed and examined along each taxonomical dimension.

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Using mixed-initiative human-robot interaction to bound performance in a search task

Abstract: Mobile robots are increasingly used in dangerous domains

Cited by 13 publications

References 18 publications

Experimental analysis of a variable autonomy framework for controlling a remotely operating mobile robot

Experimental analysis of a variable autonomy framework for controlling a remotely operating mobile robot

Intelligent interactive system for collaborative green computing

Mixed-Initiative Human-Robot Interaction: Definition, Taxonomy, and Survey

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