Towards a Human Factors Model for Underwater Robotics

Wu, Xian; Stuck, Rachel E.; Rekleitis, Ioannis; Beer, Jenay M.

doi:10.1145/2701973.2702029

Cited by 3 publications

(1 citation statement)

References 6 publications

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“…We used a two-part approach to understanding human factors and underwater robotics. First we involved a subject matter expert in the development of a preliminary conceptual model (Wu et al, 2015). Next we administered questionnaires to sAUV roboticists to confirm whether the variables in our model are in fact challenging aspects of sAUV deployment.…”

Section: Methodsmentioning

confidence: 99%

Towards a Framework for Human Factors in Underwater Robotics

Stuck

Rekleitis

et al. 2015

Proceedings of the Human Factors and Ergonomics Society Annual

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This paper presents a study identifying the human-, robot-, task-, and environmental-related factors that impact the feasibility and usability of semi Autonomous Underwater Vehicles (sAUVs) from a human factors perspective. A multi-method approach was utilized. First, a subject matter expert (SME) interview was used to analyze video data of operators interacting with sAUVs. The results suggest considerations for the capabilities and limitations of the human and robot, in relation to the dynamic demands of the task and environment. A preliminary human factors conceptual model to depict and categorize these components was proposed. Next, a questionnaire was administered to sAUV roboticists (N=15) that assessed their perceptions related to the level of challenge associated to each of the factors identified in the model. The data suggest that all of the factors identified in our conceptual model are, in fact, challenging. In particular, our data suggest that situation awareness, communication, task complexity, visibility, and the robot's user interface were some of the most challenging variables in sUAV operation.

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Section: Methodsmentioning

confidence: 99%

Towards a Framework for Human Factors in Underwater Robotics

Stuck

Rekleitis

et al. 2015

Proceedings of the Human Factors and Ergonomics Society Annual

Self Cite

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AquaBot: An Interactive System for Digital Water Play

Liu

Lin

Chen

et al. 2019

Distributed, Ambient and Pervasive Interactions

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A Survey of Underwater Human-Robot Interaction (U-HRI)

Birk

2022

Curr Robot Rep

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Purpose of Review This review provides an overview of the current state of the art in Underwater Human-Robot Interaction (U-HRI), which is an area that is quite different from standard Human-Robot Interaction (HRI). This is due to several reasons. First of all, there are the particular properties of water as a medium, e.g., the strong attenuation of radio-frequency (RF) signals or the physics of underwater image formation. Second, divers are bound to special equipment, e.g., the breathing apparatus, which makes, for example, speech recognition challenging, if not impossible. Third, typical collaborative marine missions primarily requires a high amount of communication from the diver to the robot, which accordingly receives a lot of attention in U-HRI research. Recent Findings The use of gestures for diver-to-robot communication has turned out to be a quite promising approach for U-HRI as gestures are already a standard form of communication among divers. For the gesture front-ends, i.e., the part dealing with the machine perception of individual signs, Deep Learning (DL) has become to be a very prominent tool. Summary Human divers and marine robots have many complementary skills. There is hence a large potential for U-HRI. But while there is some clear progress in the field, the full potential of U-HRI is far from being exploited, yet.

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Towards a Human Factors Model for Underwater Robotics

Cited by 3 publications

References 6 publications

Towards a Framework for Human Factors in Underwater Robotics

Towards a Framework for Human Factors in Underwater Robotics

AquaBot: An Interactive System for Digital Water Play

A Survey of Underwater Human-Robot Interaction (U-HRI)

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