Effects of human-machine interaction mechanisms on situation awareness in partly automated driving

Wulf, Felix; Zeeb, Kathrin; Rimini-Doring, Maria; Arnon, Marc; Gauterin, Frank

doi:10.1109/itsc.2013.6728525

Cited by 14 publications

(19 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Information presentation closer to, or merged with the driving scene showed positive effects [18,20]; and using an IVIS for this is preferred as compared to handheld devices [41]. Closest to our study, Wulf et al [40] permanently displayed the driving scene in one corner of the IVIS and could improve situational awareness, but not driving performance; Naujoks et al [27] recommended, but did not study on interruption strategies to keep the driver in the loop.…”

Section: Improving Take-over Qualitymentioning

confidence: 47%

Improving take-over quality in automated driving by interrupting non-driving tasks

Köhn

Gottlieb

Schermann

et al. 2019

Proceedings of the 24th International Conference on Intelligent User Interfaces

View full text Add to dashboard Cite

With automated driving advancing, first production models started to incorporate the technology. However, until full autonomy is achieved, drivers always need to stay available to take over control from the car. This requirement has proven challenging: increased levels of automation reduce drivers' situational awareness and driving performance can suffer, especially in the critical moments after takeover. While manualdriving research introduced strategies to direct drivers' attention back to the road, notably interruptions of the non-driving task, the efficacy of these interventions on automated driving remain unclear. To investigate this, 53 participants drove in an automated simulator while performing tasks on an IVIS. With task interruptions, they reported increased situational awareness and showed improved reaction times during takeover , particularly for low-effort tasks (watching movies). Different to manual driving, halting tasks did not suffice; instead, we displayed the driving scene. Results question effects of situational awareness on takeover and offer solutions for manufacturers. CCS CONCEPTS • Human-centered computing~Empirical studies in ubiquitous and mobile computing • Human-centered computing~Empirical studies in interaction design • Humancentered computing~Information visualization KEYWORDS Semi-automated driving; take over request; situational awareness; out of loop; IVIS; interruptions.

show abstract

Section: Improving Take-over Qualitymentioning

confidence: 47%

Improving take-over quality in automated driving by interrupting non-driving tasks

Köhn

Gottlieb

Schermann

et al. 2019

Proceedings of the 24th International Conference on Intelligent User Interfaces

View full text Add to dashboard Cite

show abstract

“…Finally, the steering wheel is used in few concepts (about 3%), moreover only one article proposes to use all the interior of the vehicle [70]. Articles [52], [65], [66] use both windshield and center stack whereas [39] displays light above the dashboard and icons on the center stack. No article uses the floor as interface.…”

Section: Resultsmentioning

confidence: 99%

“…Six articles mention "road" elements. Then 30 convey information about the vehicle and more particularly concerning the status of the autonomous system ( [30], [39], [41], [44], [52], [60], [61], [66], [70]), vehicle intention ( [36], [37], [42], [43], [46], [48], [49], [58], [63]) or uncertainty ( [30], [50], [69]). Finally, and 25 interactions are classified in the "other" category.…”

Section: Resultsmentioning

confidence: 99%

Human-Vehicle Interaction to Support Driver's Situation Awareness in Automated Vehicles: A Systematic Review

Capallera

Angelini

Meteier

et al. 2023

IEEE Trans. Intell. Veh.

View full text Add to dashboard Cite

Autonomous driving will change the role of the driver. From being the main actor in driving, the driver will now have a supervisory role during the autonomous driving phases. However, if the driver has to take over control of the vehicle, he must be aware of the situation around him. This is why it is important to develop interfaces to keep him in the loop. This article proposes a systematic review of Human Vehicle Interaction (HVI) providing situation awareness in the context of autonomous driving. 37 articles presenting such interactions are analyzed in terms of design of the interaction (modalities, location, conveyed information) but also in term of evaluation and experimental conditions. We present an overview of previous studies in order to highlight the work already done or in progress. Current studies present mainly monomodal interfaces although the evaluation of multimodal interactions present promising results in this field.

show abstract

“…Rather, they can look at the display beside the steering wheel, which requires less attention. However, drivers' interactions with such a display can decrease SA (Wulf et al, 2013 ), so this solution might be not successful in ensuring traffic safety.…”

Section: Suggestions For the Measurement Of Situation Awareness In Remotely Controlled Carsmentioning

confidence: 99%

Situation Awareness Measurement in Remotely Controlled Cars

Linkov

Vanžura

2021

Front. Psychol.

View full text Add to dashboard Cite

This study reviews the current information concerning the measurement of the situation awareness (SA) of the teleoperated drivers of remotely controlled cars. The teleoperated drivers who drive these cars are in a remote location, and they control the cars through a communication interface. The objective methods with probes are beneficial in measuring SA on a closed circuit without real traffic. Questions specifically should address the information provided on the road by haptic sensations, such as the slope of the road and the vehicle's speed. Methods for measuring SA that involve probes and interruptions obviously are not suitable for use on public roads. A stable environment for the display and control of the communication interface is suitable for an eye tracker in measuring SA. These features also facilitate the use of subjective observer-rating methods. Both of these methods are suitable for driving on real roads because they are not intrusive. SA research in a real-road environment also should demonstrate how the SA of other drivers is affected by seeing a car without a driver. Given the remote character of driving, cultural differences in cognition may have a significant influence on the SA of the teleoperated driver.

show abstract

Effects of human-machine interaction mechanisms on situation awareness in partly automated driving

Cited by 14 publications

References 21 publications

Improving take-over quality in automated driving by interrupting non-driving tasks

Improving take-over quality in automated driving by interrupting non-driving tasks

Human-Vehicle Interaction to Support Driver's Situation Awareness in Automated Vehicles: A Systematic Review

Situation Awareness Measurement in Remotely Controlled Cars

Contact Info

Product

Resources

About