Translational and Rotational Arrow Cues (TRAC) Outperforms Triplanar Display for use in 6-DOF IGS Navigation Tasks

Usevitch, David E; DepartmentofMechanicalEngineeringandtheRoboticsCenter, UniversityofUtah; Abbott, Jake J.

doi:10.31256/hsmr2018.54

Cited by 1 publication

(4 citation statements)

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“…This experiment utilizes subjects without any prior training with any of the methods, indicating that the TRAC method is inherently more intuitive than the others. Our results comparing the TRAC method to a triplanar display were first presented in Usevitch and Abbott [20].…”

Section: Introductionmentioning

confidence: 93%

“…Sessions A and B were counterbalanced equally between male and female subjects. A study that compared only the TRAC method and the triplanar display (Sessions A and B) was presented in Usevitch and Abbott [20]. Session C was added subsequently, approximately 6 months after Sessions A and B, and as a result all subjects performed this session last.…”

Section: Designmentioning

confidence: 99%

“…Session C was added subsequently, approximately 6 months after Sessions A and B, and as a result all subjects performed this session last. One of the original subjects was not available for Session C, so a new subject was tested in all three sessions over the course of a week; as a result, the data for Sessions A and B are slightly different from the results in Usevitch and Abbott [20]. A set of 30 poses was randomly generated for use in all sessions and by all subjects.…”

Section: Designmentioning

confidence: 99%

“…The authors would like to thank Dr. Peter Kazanzides and Dr. Russell H. Taylor from Johns Hopkins University for their feedback and suggestions when [20] was presented at the 2018 Hamlyn Symposium on Medical Robotics. The authors would also like to thank Timothy S. Lau for his suggestions and help with the statistical analysis.…”

Section: Acknowledgmentsmentioning

confidence: 99%

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Translational and Rotational Arrow Cues (TRAC) Navigation Method for Manual Alignment Tasks

Usevitch

Sperry

Abbott

2020

ACM Trans. Appl. Percept.

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Many tasks in image-guided surgery require a clinician to manually position an instrument in space, with respect to a patient, with five or six degrees of freedom (DOF). Displaying the current and desired pose of the object on a 2D display such as a computer monitor is straightforward. However, providing guidance to accurately and rapidly navigate the object in 5-DOF or 6-DOF is challenging. Guidance is typically accomplished by showing distinct orthogonal viewpoints of the workspace, requiring simultaneous alignment in all views. Although such methods are commonly used, they can be quite unintuitive, and it can take a long time to perform an accurate 5-DOF or 6-DOF alignment task. In this article, we describe a method of visually communicating navigation instructions using translational and rotational arrow cues (TRAC) defined in an objectcentric frame, while displaying a single principal view that approximates the human's egocentric view of the physical object. The target pose of the object is provided but typically is used only for the initial gross alignment. During the accuratealignment stage, the user follows the unambiguous arrow commands. In a series of human-subject studies, we show that the TRAC method outperforms two common orthogonal-view methods-the triplanar display, and a sight-alignment method that closely approximates the Acrobot Navigation System-in terms of time to complete 5-DOF and 6-DOF navigation tasks. We also find that subjects can achieve 1 mm and 1°accuracy using the TRAC method with a median completion time of less than 20 seconds. CCS Concepts: • Human-centered computing → Graphical user interfaces; Virtual reality; • Computing methodologies → Motion capture;

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Section: Introductionmentioning

confidence: 93%

Section: Designmentioning

confidence: 99%

Section: Designmentioning

confidence: 99%

Section: Acknowledgmentsmentioning

confidence: 99%

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