Avionics Touch Screen in Turbulence: Simulator Design and Selected Human–Machine Interface Metrics

Hourlier, Sylvain; Guérard, Sandra; Servantie, Xavier

doi:10.4324/9780429492181-3

Cited by 3 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This headphone had a noise-cancelling function to improve vocal instructions perception and to avoid potential biases due to the mechanical noise of the flexible surface. In line with Hourlier et al experimental settings [20], we reproduced two levels of turbulences, corresponding to weak and strong turbulences according to the aeronautical classification [1]. The turbulence signal originated from a record made during a real flight (embedded accelerometer and gyroscope).…”

Section: Motion Platform and Turbulencesmentioning

confidence: 68%

“…As opposed to approaches aiming at enhancing the design of touched-based interactions to improve robustness and visual dimensions in the cockpit [20], a possible avenue can be to combine the advantages of touchscreen interfaces and physical controllers [12]. Introducing a graspable area in touchscreens would allow stabilizing the interacting arm and a reduction of pointing errors during turbulences.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Does folding improve the usability of interactive surfaces in future airliner cockpits An evaluation under turbulent conditions and varying cognitive load

Cantu

Vinot

Letondal

et al. 2021

32e Conférence Francophone Sur l'Interaction Homme-Machine

View full text Add to dashboard Cite

Section: Motion Platform and Turbulencesmentioning

confidence: 68%

Section: Related Workmentioning

confidence: 99%

Does folding improve the usability of interactive surfaces in future airliner cockpits An evaluation under turbulent conditions and varying cognitive load

Cantu

Vinot

Letondal

et al. 2021

32e Conférence Francophone Sur l'Interaction Homme-Machine

View full text Add to dashboard Cite

“…These conditions were chosen for two reasons. First, aircraft turbulence is mostly present in sway and heave (Hourlier et al, 2019). Furthermore, Mobertz et al (2018) showed that strong biodynamic feedthrough is present for a touchscreen primary flight display in these conditions and that this enables reliable system identification of the BDFT dynamics.…”

Section: Motion Disturbance Signalmentioning

confidence: 99%

Mitigation of Biodynamic Feedthrough for Touchscreens on the Flight Deck

Khoshnewiszadeh

Pool

2021

International Journal of Human–Computer Interaction

View full text Add to dashboard Cite

Biodynamic feedthrough (BDFT) is a key issue for touchscreen operations on the future flight deck, as cockpit accelerations due to turbulence leave pilots vulnerable to erroneous touches that disrupt task performance. This research focuses on the implementation of a software-based cancellation approach to mitigate the adverse effects of BDFT in touchscreen dragging tasks. A flight-simulator experiment with 18 participants was performed to estimate models of BDFT dynamics for horizontal and vertical touchinputs on a primary flight display. The averaged BDFT models were used to cancel BDFT in the same continuous dragging task used for model identification and a discrete point-to-point dragging task. While for the continuous task the cancellation enabled 63% mitigation in BDFT, the same cancellation was ineffective for the discrete task, due to reduced BDFT susceptibility. Overall, the results show that while model-based BDFT cancellation can be highly effective, a key technical challenge will be ensuring it is sufficiently task-adaptive.

show abstract

A human factors’ approach for multimodal collaboration with Cognitive Computing to create a Human Intelligent Machine Team: a Review

Dormoy¹,

André

Pagani

2021

IOP Conf. Ser.: Mater. Sci. Eng.

View full text Add to dashboard Cite

In the Horizon 2020 funded Clean Sky 2 programme, the Cognitive Collaboration for Teaming project aims at positioning a roadmap towards Single Pilot Operations (SPO) and human intelligent machine teaming. Built on top of the states-of-the art of human factors, a careful examination of the factors and parameters to be taken into account to form a Human intelligent Machine Team (HiMT) was carried out. Each parameter can influence positively or negatively teaming. A good HiMT is a HiMT that communicates, shares knowledge, information, collaborates and trusts each other to ensure flight safety at the highest level. This review shows the added value of multimodality for bidirectional communication in the HiMT. Multimodality will allow both verbal and non-verbal communication to be maintained in both directions. A review was conducted on the benefits of each of the modalities and means of interaction under different conditions and how each modality can complement each other for better bidirectional communication that is natural, efficient, and reliable. The objective is to transmit information in a clear, accurate and concise manner, but also to ensure that it is well received by the receiver (i.e. the CCTeammate and the pilot) and well understood. Each modality will allow the CCTeammate to present and/or represent the information in the best possible way to the pilot depending on the context and the task at hand.

show abstract

Avionics Touch Screen in Turbulence: Simulator Design and Selected Human–Machine Interface Metrics

Cited by 3 publications

References 0 publications

Does folding improve the usability of interactive surfaces in future airliner cockpits An evaluation under turbulent conditions and varying cognitive load

Does folding improve the usability of interactive surfaces in future airliner cockpits An evaluation under turbulent conditions and varying cognitive load

Mitigation of Biodynamic Feedthrough for Touchscreens on the Flight Deck

A human factors’ approach for multimodal collaboration with Cognitive Computing to create a Human Intelligent Machine Team: a Review

Contact Info

Product

Resources

About