Single operator, multiple robots: An eye movement based theoretic model of operator situation awareness

Ratwani,; McCurry,; Trafton,

doi:10.1109/hri.2010.5453191

Cited by 29 publications

(24 citation statements)

References 30 publications

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“…For example, previous research has shown that an individual's mental effort correlates with pupil size [48,49] and heart rate variability [50]. Furthermore, eye gaze analysis can be used to assess where an individual is allocating attention (or failing to attend to), and therefore be employed to provide alerts and prevent errors in real time [51,52]. Lastly, key-logging can be used as a secondary measure of workload and means of measuring operator "percent busy time," when the operator is actively engaged in a task, which impacts user performance on a task (i.e., when utilization exceeds 70 %, operator performance decreases) [53].…”

Section: A-tasc Predictive Modelmentioning

confidence: 99%

Modeling User Behaviors to Enable Context-Aware Proactive Decision Support

Newsom

Mittu

Livingston

et al. 2016

Advances in Computer Vision and Pattern Recognition

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The problem of automatically recognizing a user's operational context, the implications of its shifting properties, and reacting in a dynamic manner are at the core of mission intelligence and decision making. Environments such as the OZONE Widget Framework (http://www.owfgoss.org) (OWF) provide the foundation for capturing the objectives, actions, and activities of both the mission analyst and the decision maker. By utilizing a "context container" that envelops an OZONE Application, we hypothesize that both user action and intent can be used to characterize user context with respect to operational modality (strategic, tactical, opportunistic, or random). As the analyst moves from one operational modality to another, we propose that information visualization techniques should adapt and present data and analysis pertinent to the new modality and to the trend of the shift. As a system captures the analyst's actions and decisions in response to the new visualizations, the context container has the opportunity to assess the analyst's perception of the information value, risk, uncertainty, prioritization, projection, and insight with respect to the current context stage. This paper will describe a conceptual architecture for an adaptive work environment for inferring user behavior and interaction within the OZONE framework, in order to provide the decision B. Newsom

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Section: A-tasc Predictive Modelmentioning

confidence: 99%

Modeling User Behaviors to Enable Context-Aware Proactive Decision Support

Newsom

Mittu

Livingston

et al. 2016

Advances in Computer Vision and Pattern Recognition

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“…Related to the latter, some researches enable one operator to control multiple robots by reducing the operator load [6,36]. One problem in teleoperation with multiple conversational robots is the conflict of using the operator's resources.…”

Section: Decreasing Operator Loadmentioning

confidence: 99%

Field Trial of a Networked Robot at a Train Station

Shiomi¹,

Sakamoto

Kanda³

et al. 2010

Int J of Soc Robotics

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We developed a networked robot system in which ubiquitous sensors support robot sensing and a human operator processes the robot's decisions during interaction. To achieve semi-autonomous operation for a communication robot functioning in real environments, we developed an operator-requesting mechanism that enables the robot to detect situations that it cannot handle autonomously. Therefore, a human operator helps by assuming control with minimum effort. The robot system consists of a humanoid robot, floor sensors, cameras, and a sound-level meter. For helping people in real environments, we implemented such basic communicative behaviors as greetings and route guidance in the robot and conducted a field trial at a train station to investigate the robot system's effectiveness. The results attest to the high acceptability of the robot system in a public space and also show that the operator-requesting mechanism correctly requested help in 84.7% of the necessary situations; the operator only had to control 25% of the experiment time in the semi-autonomous mode with a robot system that successfully guided 68% of the visitors.Keywords Networked robot · Semi-autonomous communication robot · Field trial M. Shiomi ( ) · T.

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“…Exocentric views most often show an overhead view of a map with the positions and status of the robots [13], [14]. In addition to the current state, some interfaces also provide the future state of the robots by displaying the planned routes of the robots [6], [7], target or hazard locations [8], [15] and explored areas of the map [16]. The interface in [17] provided the explored area as well as the open regions around the robots and information about the selected robot's local situation.…”

Section: Introductionmentioning

confidence: 99%

Affecting operator trust in intelligent multirobot surveillance systems

Dawson

Crawford

Dillon

et al. 2015

2015 IEEE International Conference on Robotics and Automation (ICRA)

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Homeland safety and security will increasingly depend upon autonomous unmanned vehicles as a method of assessing and maintaining situational awareness. As autonomous team algorithms evolve toward requiring less human intervention, it may be that having an "operator-in-the-loop" becomes the ultimate goal in utilizing autonomous teams for surveillance. However studies have shown that trust plays a factor in how effectively an operator can work with autonomous teammates.In this work, we study mechanisms that look at autonomy as a system and not as the sum of individual actions. First, we conjecture that if the operator understands how the team autonomy is designed that the user would better trust that the system will contribute to the overall goal. Second, we focus on algorithm input criteria as being linked to operator perception and trust. We focus on adding a time-varying spatial projection of areas in the ROI that have been unseen for more than a set duration (STEC). Studies utilize a custom test bed that allows users to interact with a surveillance team to find a target in the region of interest. Results show that while algorithm training had an adverse effect, projecting salient team/surveillance state had a statistically significant impact on trust and did not negatively affect workload or performance. This result may point at a mechanism for improving trust through visualizing states as used in the autonomous algorithm.

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Single operator, multiple robots: An eye movement based theoretic model of operator situation awareness

Cited by 29 publications

References 30 publications

Modeling User Behaviors to Enable Context-Aware Proactive Decision Support

Modeling User Behaviors to Enable Context-Aware Proactive Decision Support

Field Trial of a Networked Robot at a Train Station

Affecting operator trust in intelligent multirobot surveillance systems

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