Head Rotation Movement Times

Hoffmann, Errol R.; Chan, Alan H.S.; Heung, P. T.

doi:10.1177/0018720817701000

Cited by 12 publications

(7 citation statements)

References 22 publications

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“…We used the logarithmic rule to describe the relationship with MT for object size, target tolerance, and movement amplitude in our model, but some other studies have used the square root function to describe these relationships (Chen et al, 2015; Hoffmann, Chan, & Heung, 2017; Lin & Drury, 2011). Both functions have been used in previous studies and can explain the effect of movement amplitude and target width very well.…”

Section: Discussionmentioning

confidence: 99%

Beyond Fitts’s Law: A Three-Phase Model Predicts Movement Time to Position an Object in an Immersive 3D Virtual Environment

Deng

Geng

et al. 2019

Hum Factors

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Objective: The study examines the factors determining the movement time (MT) of positioning an object in an immersive 3D virtual environment. Background: Positioning an object into a prescribed area is a fundamental operation in a 3D space. Although Fitts’s law models the pointing task very well, it does not apply to a positioning task in an immersive 3D virtual environment since it does not consider the effect of object size in the positioning task. Method: Participants were asked to position a ball-shaped object into a spherical area in a virtual space using a handheld or head-tracking controller in the ray-casting technique. We varied object size (OS), movement amplitude (A), and target tolerance (TT). MT was recorded and analyzed in three phases: acceleration, deceleration, and correction. Results: In the acceleration phase, MT was inversely related to object size and positively proportional to movement amplitude. In the deceleration phase, MT was primarily determined by movement amplitude. In the correction phase, MT was affected by all three factors. We observed similar results whether participants used a handheld controller or head-tracking controller. We thus propose a three-phase model with different formulae at each phase. This model fit participants’ performance very well. Conclusion: A three-phase model can successfully predict MT in the positioning task in an immersive 3D virtual environment in the acceleration, deceleration, and correction phases, separately. Application: Our model provides a quantitative framework for researchers and designers to design and evaluate 3D interfaces for the positioning task in a virtual space.

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Section: Discussionmentioning

confidence: 99%

Beyond Fitts’s Law: A Three-Phase Model Predicts Movement Time to Position an Object in an Immersive 3D Virtual Environment

Deng

Geng

et al. 2019

Hum Factors

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“…This movement pattern can be described in two phases: (1) the initial movement, described by high velocity and imprecise change in position toward a target position; and (2) the final movement, which is slower, but more precise than the initial movement ( Fitts, 1954 ; Chen et al, 2012 ). Demonstrating the efficacy of this model with regards to head movement ( Hoffmann et al, 2017 ) observed that the time of movement along the yaw axis increased as the difficulty of target acquisition increased (via manipulation of target size), showing that head movements of 60° required 550 ms (109°/s) for the easiest targets, and 900 ms (66.7°/s) in the most difficult targets.…”

Section: Physical Properties Of Head Movementmentioning

confidence: 99%

Head movement and its relation to hearing

et al. 2023

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Head position at any point in time plays a fundamental role in shaping the auditory information that reaches a listener, information that continuously changes as the head moves and reorients to different listening situations. The connection between hearing science and the kinesthetics of head movement has gained interest due to technological advances that have increased the feasibility of providing behavioral and biological feedback to assistive listening devices that can interpret movement patterns that reflect listening intent. Increasing evidence also shows that the negative impact of hearing deficits on mobility, gait, and balance may be mitigated by prosthetic hearing device intervention. Better understanding of the relationships between head movement, full body kinetics, and hearing health, should lead to improved signal processing strategies across a range of assistive and augmented hearing devices. The purpose of this review is to introduce the wider hearing community to the kinesiology of head movement and to place it in the context of hearing and communication with the goal of expanding the field of ecologically-specific listener behavior.

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“…It is the time required for a user to complete a movement using one of their body segments. Examples of such movements include finger movements in small amplitude tapping tasks [1], hand/arm movements with an object to transfer the location of the object or tap a target with/without a stylus [2][3][4][5][6][7][8][9], foot movements to push a pedal or tap a target [10][11][12][13][14], head movements to give a command to a computer or other device [15][16][17][18][19], trunk movements to support the upper extremity movements or to indicate the functional capability of the body [20,21], and so on. Fitts' law [2,3] is probably the most commonly adopted scientific basis for explaining the MT of a body segment.…”

Section: Introductionmentioning

confidence: 99%

Movement Time and Subjective Rating of Difficulty in Real and Virtual Pipe Transferring Tasks

Li,

Nguyen

2023

Applied Sciences

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An experiment was performed to investigate the movement time (MT) and subjective rating of difficulty for real and virtual pipe transferring tasks. Thirty adults joined as human participants. The HoloPipes app in a Microsoft® Hololens 2 augmented reality (AR) device was adopted to generate virtual pipes. The participants performed pipe transferring trials, from one location to another on a workbench, in both lateral and anterior–posterior directions. For the lateral transferring tasks, pipes in three diameters with three transferring distances and two origins were tested. For the anterior–posterior transferring tasks, pipes with a diameter of 2.2 cm with three transferring distances and two origins were tested. It was found that the MT of transferring a virtual pipe was significantly (p < 0.0001) shorter than that of transferring a real pipe. Moreover, male participants transferred the pipe significantly (p < 0.0001) faster than their female counterparts. Thus, the hypothesis that transferring a virtual pipe is less efficient than transferring a real pipe was rejected. It was also found that the MT of transferring both a real and a virtual object was dependent upon gender, handedness, and the transferring direction. In addition, the subjective rating of difficulty in pipe transferring is positively correlated (r = 0.48, p < 0.0001) with the MT. Based on Fitts’ law, additive MT models were proposed. These models could be used to predict the MT between handling real and virtual pipes under gender, handedness, and transferring direction conditions.

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Head Rotation Movement Times

Cited by 12 publications

References 22 publications

Beyond Fitts’s Law: A Three-Phase Model Predicts Movement Time to Position an Object in an Immersive 3D Virtual Environment

Beyond Fitts’s Law: A Three-Phase Model Predicts Movement Time to Position an Object in an Immersive 3D Virtual Environment

Head movement and its relation to hearing

Movement Time and Subjective Rating of Difficulty in Real and Virtual Pipe Transferring Tasks

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