The Effects of Vibration Patterns of Take-Over Request and Non-Driving Tasks on Taking-Over Control of Automated Vehicles

Wan, Jingyan; Wu, Changxu

doi:10.1080/10447318.2017.1404778

Cited by 41 publications

(12 citation statements)

References 52 publications

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“…The training benefit makes the cueing design a possible addition to a flight simulator training device in order to enhance learning. Vibro-tactile cues in the form of asymmetric vibrations are used in domains other then aerospace, for example, in automotive to indicate an imminent lane departure (Huang et al, 2015;Navarro et al, 2010;Wan & Wu, 2018). The sawtooth-shaped asymmetric vibration used in our application proved to be more powerful in communicating the direction of the cue.…”

Section: Asymmetric Vibrationsmentioning

confidence: 97%

Flying by Feeling: Communicating Flight Envelope Protection through Haptic Feedback

Baelen

Paassen

Ellerbroek

et al. 2021

International Journal of Human–Computer Interaction

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Modern aircraft can be equipped with a flight envelope protection system: automation which modifies pilot control inputs to ensure that the aircraft remains within the allowable limits. Overruling the pilot inputs may lead to mode confusion, even when visual or auditory feedback is provided to alert pilots. We advocate using active control devices to make the flight envelope protection system tangible to the pilot. This paper presents the main findings of an evaluation of three haptic feedback designs for flight envelope protection. The first concept used both force feedback and vibro-tactile alerts, producing promising, yet inconclusive, results. The second concept used asymmetric vibrations to give directional alerting cues, which did not result in improved performance on initial use, but which did yield improved learning rate for the task. The third system employed force feedback to physically guide the pilot away from flight envelope limits, which yielded safety improvements from the first use, but created dependence: pilot performance degraded immediately after the force feedback was removed. From this, we advise to use asymmetric vibrations during training for flight envelope excursions, to leverage active control interfaces for providing force feedback during operation, and reevaluate a combination of both to combine their advantages for single-pilot operations.

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Section: Asymmetric Vibrationsmentioning

confidence: 97%

Flying by Feeling: Communicating Flight Envelope Protection through Haptic Feedback

Baelen

Paassen

Ellerbroek

et al. 2021

International Journal of Human–Computer Interaction

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“…Nevertheless, due to technology limitations and legal restrictions, automated vehicles (AVs) [9] may still need to handover the control back to drivers occasionally (e.g., under challenging driving conditions beyond the automated systems' capabilities) [37]. In such cases, AVs would initiate takeover requests (TORs) and alert drivers via auditory, visual, or vibrotactile modalities [42,45,59] so that the drivers can resume manual driving in a timely manner. However, there are challenges in making drivers safely take over control.…”

Section: Introductionmentioning

confidence: 99%

DeepTake: Prediction of Driver Takeover Behavior using Multimodal Data

Pakdamanian

Sheng

Baee

et al. 2021

Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

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“…According to the questionnaire survey, nearly 70% respondents believe that automated vehicles will occupy at least 50% of market share in the automotive industry by around 2050 [ 2 ]. However, taking a cautious stand, some researchers believe that vehicle automation will remain at a low level for a long time [ 3 , 4 ]. Additionally, a number of studies have been carried out on human-machine interaction in L2 automated driving [ 5 , 6 ].…”

Section: Introductionmentioning

confidence: 99%

Effects of automation trust in drivers’ visual distraction during automation

Zhang

Pan

et al. 2021

PLoS ONE

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With ongoing improvements in vehicle automation, research on automation trust has attracted considerable attention. In order to explore effects of automation trust on drivers’ visual distraction, we designed a three-factor 2 (trust type: high trust group, low trust group) × 2 (video entertainment: variety-show videos, news videos) × 3 (measurement stage: 1–3) experiment. 48 drivers were recruited in Dalian, China for the experiment. With a driving simulator, we used detection-response tasks (DRT) to measure each driver’s performance. Their eye movements were recorded, and automation-trust scale was used to divide participants into high trust group and low trust group. The results show that: (1) drivers in the high trust group has lower mental workload and paid more attention to visual non-driving-related tasks; (2) video entertainment also has an impact on distraction behavior, variety-show videos catch more attention than news videos. The findings of the present study indicate that drivers with high automation trust are more likely to be involved in non-driving-related visual tasks.

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The Effects of Vibration Patterns of Take-Over Request and Non-Driving Tasks on Taking-Over Control of Automated Vehicles

Cited by 41 publications

References 52 publications

Flying by Feeling: Communicating Flight Envelope Protection through Haptic Feedback

Flying by Feeling: Communicating Flight Envelope Protection through Haptic Feedback

DeepTake: Prediction of Driver Takeover Behavior using Multimodal Data

Effects of automation trust in drivers’ visual distraction during automation

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