Investigating the Relationship Between Assisted Driver’s SoA and EEG

Yun, Sonmin; Wen, Wen; An, Qi; Hamasaki, Shunsuke; Yamakawa, Hiroshi; Tamura, Yusuke; Yamashita, Atsushi; Asama, Hajime

doi:10.1007/978-3-030-01845-0_208

Cited by 12 publications

(16 citation statements)

References 10 publications

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“…A recent review paper suggested that sharing intention between a human driver and a driving assistance system may be critical to solving the trade-off between driving automation and retaining sense of agency ( Wen et al, 2019 ). In our previous study, simply applying driving automation considerably reduced sense of agency ( Yun et al, 2018 ). In the present study, we hypothesized that if the intention of the driving automation system is consistent with the human driver’s intention, it will not reduce sense of agency while improving driving performance.…”

Section: Introductionmentioning

confidence: 89%

“…Sense of agency is considered a key cognitive trait in maintaining driving engagement ( Victor et al, 2018 ; Wen et al, 2019 ). Research on human-machine interfaces has shown that humans become progressively more disengaged as more automation is employed ( Berberian et al, 2012 ; Navarro et al, 2016 ; Victor et al, 2018 ; Wang et al, 2018 ; Yun et al, 2018 ). While driving assistance technologies can greatly improve driving performance, sense of agency is reduced by the interventions of these systems ( Yun et al, 2018 ).…”

Section: Introductionmentioning

confidence: 99%

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Deceleration Assistance Mitigated the Trade-off Between Sense of Agency and Driving Performance

et al. 2021

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Driving assistance technology has gained traction in recent years and is becoming more widely used in vehicles. However, drivers usually experience a reduced sense of agency when driving assistance is active even though automated assistance improves driving performance by reducing human error and ensuring quick reactions. The present study examined whether driving assistance can maintain human sense of agency during early deceleration in the face of collision risk, compared with manual deceleration. In the experimental task, participants decelerate their vehicle in a driving simulator to avoid collision with a vehicle that suddenly cut in front of them and decelerated. In the assisted condition, the system performed deceleration 100 ms after the cut-in. Participants were instructed to decelerate their vehicle and follow the vehicle that cut-in. This design ensured that the deceleration assistance applied a similar control to the vehicle as the drivers intended to, only faster and smoother. Participants rated their sense of agency and their driving performance. The results showed that drivers maintained their sense of agency and improved driving performance under driving assistance. The findings provided insights into designing driving assistance that can maintain drivers’ sense of agency while improving future driving performance. It is important to establish a mode of joint-control in which the system shares the intention of human drivers and provides improved execution of control.

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Section: Introductionmentioning

confidence: 89%

Section: Introductionmentioning

confidence: 99%

Deceleration Assistance Mitigated the Trade-off Between Sense of Agency and Driving Performance

et al. 2021

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“…As with other studies concerning automotive interfaces, a wider variety of interfaces could be compared to the sEMG-based interface, including haptic guidance, joysticks, BCIs, and power steering [9,43]. Further studies could also recruit a greater number and variety of test subjects who have hemiplegia or upper limb amputations, in order to evaluate human factors such as the level of trust in the Myo armband, sense of agency, task load, and perceived ease-of-use [44][45][46]. Although applicability of the proposed sEMG-based interface to drivers outside of the experiment is limited by the small number of test drivers who participated, the current experimental results demonstrate the possibility of one-handed remote steering wheel operation with sEMG signals.…”

Section: Limitationsmentioning

confidence: 99%

Surface Electromyography-Controlled Automobile Steering Assistance

Nacpil

Nakano

2020

Sensors

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Disabilities of the upper limb, such as hemiplegia or upper limb amputation, can limit automobile drivers to steering with one healthy arm. For the benefit of these drivers, recent studies have developed prototype interfaces that realized surface electromyography (sEMG)-controlled steering assistance with path-following accuracy that has been validated with driving simulations. In contrast, the current study expands the application of sEMG-controlled steering assistance by validating the Myo armband, a mass-produced sEMG-based interface, with respect to the path-following accuracy of a commercially available automobile. It was hypothesized that one-handed remote steering with the Myo armband would be comparable or superior to the conventional operation of the automobile steering wheel. Although results of low-speed field testing indicate that the Myo armband had lower path-following accuracy than the steering wheel during a 90° turn and wide U-turn at twice the minimum turning radius, the Myo armband had superior path-following accuracy for a narrow U-turn at the minimum turning radius and a 45° turn. Given its overall comparability to the steering wheel, the Myo armband could be feasibly applied in future automobile studies.

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“…While the research on driving automation in engineering and computer science has mainly focused on challenges in technique, some research has indeed shed light on human behavior and performance during driver-automation joint control. Yun et al (2018) directly measured the driver’s sense of agency during assisted and automated driving in a driving simulator using an agency questionnaire. The results showed that even under the assisted driving condition, under which the simulator only intervened in steering when the vehicle went away from the road, the sense of agency was significantly lower than under the manual driving condition (Yun et al, 2018).…”

Section: The Sense Of Agency In Driving Assistancementioning

confidence: 99%

“…Yun et al (2018) directly measured the driver’s sense of agency during assisted and automated driving in a driving simulator using an agency questionnaire. The results showed that even under the assisted driving condition, under which the simulator only intervened in steering when the vehicle went away from the road, the sense of agency was significantly lower than under the manual driving condition (Yun et al, 2018). The reduced sense of agency under the driving assisted condition was probably due to the fact that the drivers could easily detect the intervention of the system, and reflected the error detection in their agency report.…”

Section: The Sense Of Agency In Driving Assistancementioning

confidence: 99%

The Sense of Agency in Driving Automation

2019

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Driving automation has been developing rapidly during the latest decade. However, all current technologies of driving automation still require human drivers’ monitoring and intervention. This means that during driving automation, the control by human driver and by the driving automation system are blended. In this case, if the human driver loses the sense of agency over the vehicle, he/she may not be able to actively engage in driving, and may excessively rely on the driving automation system. This review focuses on the subjective feeling of agency of the human driver over the vehicle in such situations. We address the possible measures of agency in driving automation, and discuss the insights from literatures on the sense of agency in joint control, robotics, automation, and driving assistance. We suggest that maintaining the sense of agency for human driver is important for ethical and safety reasons. We further propose a number of avenues for further research, which may help to better design an optimized driving automation considering human sense of agency.

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Investigating the Relationship Between Assisted Driver’s SoA and EEG

Cited by 12 publications

References 10 publications

Deceleration Assistance Mitigated the Trade-off Between Sense of Agency and Driving Performance

Deceleration Assistance Mitigated the Trade-off Between Sense of Agency and Driving Performance

Surface Electromyography-Controlled Automobile Steering Assistance

The Sense of Agency in Driving Automation

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