The effects of motion on in-vehicle touch screen system operation: A battle management system case study

Salmon, Paul M.; Lenné, Michael G.; Triggs, Thomas J; Goode, Natassia; Cornelissen, Miranda; Demczuk, Victor

doi:10.1016/j.trf.2011.08.002

Cited by 26 publications

(12 citation statements)

References 15 publications

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“…This can significantly reduce the pointing time and the effort associated with interacting with the GUI. Thus, usability of interactive displays in the vehicle environment can be significantly improved by minimizing the visual, cognitive, and manual workload necessary to operate them, especially for the driver [1]- [3], [8]- [10], [22]. The proposed system could also be used to facilitate pointing at 3-D or virtual displays where depth information is crucial, and where the interactive area is projected rather than displayed on a physical surface.…”

Section: Discussionmentioning

confidence: 99%

“…In the systems described by (10) and (14), the model state is explicitly dependent on the destination, which is not known a priori. However, by considering N such models, one for each possible endpoint, D i that leads to a model best explaining the observed partial pointing trajectory m 1:k is assigned the highest probability of being the intended destination D I .…”

Section: B Sequential Likelihood Evaluationmentioning

confidence: 99%

“…However, using a touchscreen entails undertaking a hand pointing gesture that inevitably requires substantial visual, cognitive, and manual capacity [1], [7]- [9]. The user input can also be highly perturbed, with the pointing finger exhibiting erratic movements due to driving and/or road conditions [10]- [13]. This leads to erroneous selections.…”

Section: Introductionmentioning

confidence: 99%

“…This leads to erroneous selections. Rectifying these errors or adapting to the noisy environment ties up further attention that would otherwise be available for driving [10]- [12]. Such distractions can have serious safety implications by hampering the driver's situational awareness, steering capability, and lane maintenance [14]- [16].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Intent Inference for Hand Pointing Gesture-Based Interactions in Vehicles

Ahmad

Murphy

Langdon

et al. 2016

IEEE Trans. Cybern.

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Using interactive displays, such as a touchscreen, in vehicles typically requires dedicating a considerable amount of visual as well as cognitive capacity and undertaking a hand pointing gesture to select the intended item on the interface. This can act as a distractor from the primary task of driving and consequently can have serious safety implications. Due to road and driving conditions, the user input can also be highly perturbed resulting in erroneous selections compromising the system usability. In this paper, we propose intent-aware displays that utilize a pointing gesture tracker in conjunction with suitable Bayesian destination inference algorithms to determine the item the user intends to select, which can be achieved with high confidence remarkably early in the pointing gesture. This can drastically reduce the time and effort required to successfully complete an in-vehicle selection task. In the proposed probabilistic inference framework, the likelihood of all the nominal destinations is sequentially calculated by modeling the hand pointing gesture movements as a destination-reverting process. This leads to a Kalman filter-type implementation of the prediction routine that requires minimal parameter training and has low computational burden; it is also amenable to parallelization. The substantial gains obtained using an intent-aware display are demonstrated using data collected in an instrumented vehicle driven under various road conditions.

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Section: Discussionmentioning

confidence: 99%

Section: B Sequential Likelihood Evaluationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Intent Inference for Hand Pointing Gesture-Based Interactions in Vehicles

Ahmad

Murphy

Langdon

et al. 2016

IEEE Trans. Cybern.

View full text Add to dashboard Cite

show abstract

“…This can compromise the system response by producing erroneous selection(s). Rectifying the error(s) or adapting to the noisy environment often ties up even larger amounts of attention that would otherwise be available for driving [26]. In this paper, we utilise a pointing gesture tracker and probabilistic destination inference algorithms to predict the intended item on the touchscreen early in the pointing task, i.e.…”

Section: Introductionmentioning

confidence: 99%

Interactive Displays in Vehicles

Ahmad

Langdon

Godsill

et al. 2014

Proceedings of the 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

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Interactive displays are becoming an integrated part of the modern vehicle environment. Their use typically entails dedicating a considerable amount of attention and undertaking a pointing gesture to select an interface item/icon displayed on a touchscreen. This can have serious safety implications for the driver. The pointing gesture can also be highly perturbed due to the road and driving conditions, resulting in erroneous selections. In this paper, we propose a probabilistic intent prediction approach that facilitates establishing the targeted icon on the interface early in the pointing gesture. It employs a 3D vision sensory device to continuously track the pointing hand/finger in conjunction with suitable Bayesian prediction algorithms. The introduced technique can significantly reduce the pointing task completion time, the necessary associated visual, cognitive and movement efforts as well as enhance the selection accuracy. The substantial furnished gains and the pointing gesture characteristics are demonstrated using data collected in an instrumented vehicle.

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Effects of vibration and target size on the use of varied computer input devices in basic human‐computer interaction tasks

Wang

Tao

Cai

et al. 2021

Hum Ftrs & Erg Mfg Svc

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Pointing and dragging are fundamental actions by input devices when interacting with computer graphical user interfaces (GUIs). Cockpits on modern vehicles have been increasingly equipped with GUIs, enabling pointing and dragging tasks to be frequently performed under vibration conditions. However, factors influencing these fundamental actions under vibration conditions have not been fully explored. This study aimed to explore the effects of vibration, input devices, and target size on the performance and perceived workload in basic human–computer interaction tasks. Twenty‐seven participants completed an experiment where they were required to conduct two pointing tasks and one dragging‐and‐dropping task using four input devices (mouse, touchscreen, trackball, and remote hand‐controller) under static and three vibration conditions (lateral, fore‐and‐aft, and omnidirectional vibration) with two target sizes (small and large). The results indicated that vibration caused longer task completion time, higher error rates, and more workload in completing pointing and dragging tasks. Both target size and input device affected task performance in vibration environments. Highest workload was perceived when using remote hand‐controller, followed by trackballs under all vibration conditions; there was no significant difference between mouse and touchscreen, except in terms of physical demand. The findings suggest that practitioners should fully consider the joint effects of input device, target size, and vibration to counteract adverse influence of vibration and optimize user interface designs of human‐computer systems in vibration environments.

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The effects of motion on in-vehicle touch screen system operation: A battle management system case study

Cited by 26 publications

References 15 publications

Intent Inference for Hand Pointing Gesture-Based Interactions in Vehicles

Intent Inference for Hand Pointing Gesture-Based Interactions in Vehicles

Interactive Displays in Vehicles

Effects of vibration and target size on the use of varied computer input devices in basic human‐computer interaction tasks

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