Using the Projection-based Vehicle in the Loop for the Investigation of in-Vehicle Information Systems: First Insights

Graichen, Matthias; Graichen, Lisa; Rottmann, Thomas; Nitsch, Verena

doi:10.5220/0006649102310237

Cited by 4 publications

(5 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The present section focuses on driving behavior measurement. Driving experience results using the Pro-VIL and simulator sickness have been published by Graichen et al (2018). The analysis of glance behavior and subjective measures is not addressed in this report.…”

Section: Resultsmentioning

confidence: 99%

“…For side views, two monitors were mounted outside the left and right front doors. Graichen et al (2018) have evaluated the applicability of the Pro-VIL for investigating IVIS and driver experience.…”

Section: Facilities and Apparatusmentioning

confidence: 99%

“…Data storage and preprocessing were performed using a PostgreSQL database. Relevant data sections were identified by computing the distance of the driver to the reference position of the relevant driving simulation objects (for more details, see Graichen et al, 2018). Data sections were then fetched, processed, and analyzed using R.…”

Section: Data Processingmentioning

confidence: 99%

“…Moreover, there is no precise guideline on how gesture interaction systems should be designed from the user’s perspective (Zhang & Angell, 2014). In our preliminary studies, we investigated the number and shape of gestures as well as the type of visual feedback users would prefer when using GBI (Graichen et al, 2017a, 2017b). The results reveal that users can quickly learn up to six gestures and prefer gestural movements that correspond to natural movements similar to interpersonal communication.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Effects of Gesture-Based Interaction on Driving Behavior: A Driving Simulator Study Using the Projection-Based Vehicle-in-the-Loop

Graichen

Krems

2020

Hum Factors

Self Cite

View full text Add to dashboard Cite

Objective We observe the driving performance effects of gesture-based interaction (GBI) versus touch-based interaction (TBI) for in-vehicle information systems (IVISs). Background As a contributing factor to a number of traffic accidents, driver distraction is a significant problem for traffic safety. More specifically, visual distraction has a strong negative impact on driving performance and risk perception. Thus, the implementation of new interaction systems that use midair gestures to encourage glance-free interactions could reduce visual distraction among drivers. Methods In this experiment, participants drove a projection-based Vehicle-in-the-Loop. The projection-based technology combines a visual simulation with kinesthetic, vestibular, and auditory feedback from a car on a test track. While driving, participants used GBI or TBI to perform IVIS tasks. To investigate driving behavior related to critical driving situations and car-following maneuvers, vehicle data based upon longitudinal and lateral driving were collected. Results Participants reacted faster to critical driving situations when using GBI compared to TBI. For drivers using TBI, steering performance decreased and time headway to a preceding vehicle was higher. Conclusion Gestures provide a safe alternative to in-vehicle interactions. Moreover, GBI has fewer effects on driver distraction than TBI. Application Potential applications of this research include all in-vehicle interaction systems used by drivers.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Facilities and Apparatusmentioning

confidence: 99%

Section: Data Processingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Effects of Gesture-Based Interaction on Driving Behavior: A Driving Simulator Study Using the Projection-Based Vehicle-in-the-Loop

Graichen

Krems

2020

Hum Factors

Self Cite

View full text Add to dashboard Cite

show abstract

“…An indispensable advantage of such tools comes to play whenever new technologies which require human cooperation or interaction is necessary. Then these simulative tools provide a safe environment to test acceptance and reliability, compare [8,13]. Despite the different types of simulation tools already available, most of them are limited to a specific use case, may it be cars or planes.…”

Section: Introductionmentioning

confidence: 99%

ROCS: A Realtime Optimization and Control Simulator

Britzelmeier,

Gerdts,

Moslehi Rad

et al. 2020

Proceedings ASIM SST 2020

View full text Add to dashboard Cite

The Realtime Optimization and Control Simulator (ROCS) is a software package written with Qt. It is conceived to be a versatile tool to develop, investigate, and visualize control and trajectory optimization tasks for automated vehicles, aircrafts, and robots in multi-modal scenarios. It is also conceived as a platform which allows to combine real driving data with virtual simulation using a vehicle in the loop.

show abstract

Human&vehicle-in-the-loop test method in human factors research on automated vehicles: Conceptualization, realization, case-study, and lessons learned

Steimle,

Stange,

Vollrath

et al. 2025

Transportation Research Interdisciplinary Perspectives

View full text Add to dashboard Cite

Using the Projection-based Vehicle in the Loop for the Investigation of in-Vehicle Information Systems: First Insights

Cited by 4 publications

References 0 publications

Effects of Gesture-Based Interaction on Driving Behavior: A Driving Simulator Study Using the Projection-Based Vehicle-in-the-Loop

Effects of Gesture-Based Interaction on Driving Behavior: A Driving Simulator Study Using the Projection-Based Vehicle-in-the-Loop

ROCS: A Realtime Optimization and Control Simulator

Human&vehicle-in-the-loop test method in human factors research on automated vehicles: Conceptualization, realization, case-study, and lessons learned

Contact Info

Product

Resources

About