Physiological Measures for Human Performance Analysis in Human-Robot Teamwork: Case of Tele-Exploration

Memar, Amirhossein H.; Esfahani, Ehsan T.

doi:10.1109/access.2018.2790838

Cited by 26 publications

(10 citation statements)

References 51 publications

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“…This way, we could associate the task outcome with the SA of participant without interrupting the natural flow of the task by using online or freezing probes. Alternatively, previous research explored the use of an eye tracker device to obtain implicit measures of the operator SA [37]. However, in this particular application (traction state awareness) may not have sufficient visual clues, in the image from the onboard camera, to fully assess the awareness of the operator regarding traction loss, and corresponding state, since this one requires the integration of several elements that may or may not be visible in the image (e.g.…”

Section: Methodsmentioning

confidence: 99%

On the Use of Haptic Tablets for UGV Teleoperation in Unstructured Environments: System Design and Evaluation

Luz

Corujeira²,

Grisoni

et al. 2019

IEEE Access

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Teleoperation of unmanned ground vehicles (UGVs), particularly for inspection of unstructured and unfamiliar environments still raises important challenges from the point of view of the operator interface. One of these challenges is caused by the fact that all information available to the operator is presented to the operator through a computer interface, providing only a partial view of the robot situation. The majority of existing interfaces provides information using visual, and, less frequently, sound channels. The lack of situation awareness (SA), caused by this partial view, may lead to an incorrect and inefficient response to the current UGV state, usually confusing and frustrating the human operator. For instance, the UGV may become stuck in debris while the operator struggles to move the robot, not understanding the cause of the UGV lack of motion. We address this problem by studying the use of haptic feedback to improve operator SA. More precisely, improving SA with respect to the traction state of the UGV, using a haptic tablet for both commanding the robot and conveying traction state to the user by haptic feedback. We report 1) a teleoperating interface, integrating a haptic tablet with an existing UGV teleoperation interface and 2) the experimental results of a user study designed to evaluate the advantage of this interface in the teleoperation of a UGV, in a search and rescue scenario. Statistically significant results were found supporting the hypothesis that using the haptic tablet elicits a reduction in the time that the UGV spends in states without traction.

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Section: Methodsmentioning

confidence: 99%

On the Use of Haptic Tablets for UGV Teleoperation in Unstructured Environments: System Design and Evaluation

Luz

Corujeira²,

Grisoni

et al. 2019

IEEE Access

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“…For the robot arm, we picked several photos of the Gen3 lite robot arm from Kinova 2 . For the mobile robot, we used images of the Clearpath Dingo-D 3 . Lastly for the controller, we selectted images of the PS4 Dualshock controller 4 , one of the most common controller in mobile robotics and the one provided with the Clearpath base.…”

Section: Learn To See Robots a Dataset Buildingmentioning

confidence: 99%

“…1 Alexandre Duval, Abdalwhab Abdalwhab and David St-Onge are with the Lab INIT Robots, Department of Mechanical Engineering, Ecole de technologie supérieure, Canada name.surname@etsmtl.ca 2 Anita Paas is with the Department of Psychology, Concordia University, Canada anita.paas@concordia.ca awareness. Further, Memar and Esfahani [3] found that gazebased data were related to target detection and situational awareness in a tele-exploration task with a swarm of robots.…”

Section: Introductionmentioning

confidence: 99%

The eyes and hearts of UAV pilots: observations of physiological responses in real-life scenarios

Duval¹,

Anita²,

Abdalwhab³

et al. 2022

Preprint

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The drone industry is diversifying and the number of pilots increases rapidly. In this context, flight schools need adapted tools to train pilots, most importantly with regard to their own awareness of their physiological and cognitive limits. In civil and military aviation, pilots can train themselves on realistic simulators to tune their reaction and reflexes, but also to gather data on their piloting behavior and physiological states. It helps them to improve their performances. Opposed to cockpit scenarios, drone teleoperation is conducted outdoor in the field, thus with only limited potential from desktop simulation training. This work aims to provide a solution to gather pilots behavior out in the field and help them increase their performance. We combined advance object detection from a frontal camera to gaze and heart-rate variability measurements. We observed pilots and analyze their behavior over three flight challenges. We believe this tool can support pilots both in their training and in their regular flight tasks.

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“…Human-Swarm Interaction (HSI) therefore aims to maintain awareness both of the swarm as an entity and the swarm members on an individual level. However, the need for the operator to continuously monitor the swarm and track macrolevel changes can lead to several constraints in cognitive load and situational awareness [5], [6]. For instance, when there are multiple objects to keep track of, even if they are few in number, difficulties in detecting changes in the status of the swarm may arise (e.g., [7], [8]).…”

Section: Introductionmentioning

confidence: 99%

Bots of a Feather: Exploring User Perceptions of Group Cohesiveness for Application in Robotic Swarms

Stower¹,

Zibetti

St-Onge

2022

2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)

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Behaviours of robot swarms often take inspiration from biological models, such as ant colonies and bee hives. Yet, understanding how these behaviours are actually perceived by human users has so far received limited attention. In this paper, we use animations to represent different kinds of possible swarm motions intended to communicate specific messages to a human. We explore how these animations relate to the perceived group cohesiveness of the swarm, comprised of five different parameters: synchronising, grouping, following, reacting, and shape forming. We conducted an online user study where 98 participants viewed nine animations of a swarm displaying different behaviours and rated them for perceived group cohesiveness. We found that the parameters of group cohesiveness correlated with the messages the swarm was perceived as communicating. In particular, the message of initiating communication was highly positively correlated with all group parameters, whereas broken communication was negatively correlated. In addition, the importance of specific group parameters differed within each animation. For example, the parameter of grouping was most associated with animations signalling an intervention is needed. These findings are discussed within the context of designing intuitive behaviour for robot swarms.

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Physiological Measures for Human Performance Analysis in Human-Robot Teamwork: Case of Tele-Exploration

Cited by 26 publications

References 51 publications

On the Use of Haptic Tablets for UGV Teleoperation in Unstructured Environments: System Design and Evaluation

On the Use of Haptic Tablets for UGV Teleoperation in Unstructured Environments: System Design and Evaluation

The eyes and hearts of UAV pilots: observations of physiological responses in real-life scenarios

Bots of a Feather: Exploring User Perceptions of Group Cohesiveness for Application in Robotic Swarms

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