Mitigation of Biodynamic Feedthrough for Touchscreens on the Flight Deck

Khoshnewiszadeh, Arwin; Pool, Daan M.

doi:10.1080/10447318.2021.1890490

Cited by 3 publications

(2 citation statements)

References 35 publications

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“…Furthermore, another experiment was conducted to explore biodynamic feedthrough in a simulated vibratory environment. It revealed an increased susceptibility to touch errors during turbulence [ 21 ]. In an investigation that used a roller coaster to simulate cockpit motions for pilots, the participants performed various touchscreen tasks.…”

Section: Introductionmentioning

confidence: 99%

Quantifying the Impact of Motions on Human Aiming Performance: Evidence from Eye Tracking and Bio-Signals

Li,

Grant

et al. 2024

Sensors

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Working on a moving platform can significantly impede human performance. Previous studies on moving vehicles have often focused on the overall impact on general task performance, whereas our study’s emphasis is on precise hand movements, exploring the interaction between body motion and the escalation of task difficulty. We recruited 28 participants to engage in reciprocal aiming tasks, following Paul Fitts’s setting, under both in-motion and stationary conditions. The task index of difficulty (ID) was manipulated by varying the width of the targets and the distance between the targets. We measured participants’ movement time (MT), performance errors, and monitored their eye movements using an eye-tracking device, heart rate (HR), and respiration rate (RR) during the tasks. The measured parameters were compared across two experimental conditions and three ID levels. Compared to the stationary conditions, the in-motion conditions degraded human aiming performance, resulting in significantly prolonged MT, increased errors, and longer durations of eye fixations and saccades. Furthermore, HR and RR increased under the in-motion conditions. Linear relationships between MT and ID exhibited steeper slopes under the in-motion conditions compared to the stationary conditions. This study builds a foundation for us to explore the control mechanisms of individuals working in dynamic and demanding environments, such as pilots in airplanes and paramedics in ambulances.

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Section: Introductionmentioning

confidence: 99%

Quantifying the Impact of Motions on Human Aiming Performance: Evidence from Eye Tracking and Bio-Signals

Li,

Grant

et al. 2024

Sensors

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“…With increasing use of touchscreen technology in aviation and future cockpit developments, currently also an increasing number of experimental human-in-the-loop studies focus on touch input devices [1][2][3][4][5][6]. For repeatable experiments and verifiable results, it is essential that the detailed characteristics of human-in-the-loop experiment hardware are known (and reported).…”

Section: Introductionmentioning

confidence: 99%

Measuring the Drag Latency of Touchscreen Displays for Human-in-the-Loop Simulator Experiments

Vrouwenvelder

Postema

Pool

2021

AIAA Scitech 2021 Forum

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This paper presents a novel methodology for measuring the drag latency of touchscreens. Drag latency is a characteristic of touch hardware that can affect key metrics of human performance as typically collected in human-in-the-loop (simulator) experiments. The proposed methodology uses a laser and laser sensor to obtain an external measurement of stylus position that is compared, in time, with the digitally measured touch event data. The drag latency is estimated as the time shift required to align the locations of touch sensor activation with the recorded laser beam crossings. Application of this methodology on two touchscreens from different vendors showed that touchscreen drag latency is in general strongly dependent on the input speed and varies between 28 (fast inputs) and 200 ms (slow inputs) for the tested hardware. Furthermore, while drag-latency characteristics seem to generally follow an exponential decay curve as a function of input speed, the latency was found to differ by a factor 2 at low input speeds between both touchscreens. Using the measurements from our proposed methodology to obtain predictive models of touchscreens' drag-latency dependency on input speed was found to facilitate accurate compensation for the drag latency for three different input tasks (chirp, multi-sine, and step) relevant to human-in-the-loop testing. The results suggest that measuring, and compensating for, touchscreen drag latency is essential for human-in-the-loop experiments, to ensure consistent measures of human performance and to enable replication of measured effects.

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Future flight deck design: Developing an innovative touchscreen inceptor combined with the primary flight display

Wang,

Li,

Korek

et al. 2024

International Journal of Industrial Ergonomics

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Mitigation of Biodynamic Feedthrough for Touchscreens on the Flight Deck

Cited by 3 publications

References 35 publications

Quantifying the Impact of Motions on Human Aiming Performance: Evidence from Eye Tracking and Bio-Signals

Quantifying the Impact of Motions on Human Aiming Performance: Evidence from Eye Tracking and Bio-Signals

Measuring the Drag Latency of Touchscreen Displays for Human-in-the-Loop Simulator Experiments

Future flight deck design: Developing an innovative touchscreen inceptor combined with the primary flight display

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