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Comparing the Effect of Airflow Direction on Simulator Sickness and User Comfort in a High-Fidelity Driving Simulator

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Virtual, Augmented and Mixed Reality: Applications in Education, Aviation and Industry (HCII 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13318))

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Abstract

Minimizing simulator sickness is crucial for ensuring the well-being of users and for guaranteeing the integrity of driving performance data. Here, we compared the effect of direct and indirect airflow as potential countermeasures against simulator sickness in a high-fidelity driving simulator, further exploring the relationship between airflow, body temperature, and subjective comfort. Twenty-three healthy adults completed a 25 km simulated drive (incl. 1.7 km practice) while their simulator sickness level was monitored. To study the effects of airflow direction on simulator sickness, the car’s vents were positioned to either generate airflow directly to the driver’s torso and head (direct airflow condition) or towards the vehicle’s ceiling avoiding any contact with the driver (indirect airflow condition). Results suggested that simulator sickness did not differ between the two airflow conditions. Body temperature was lower in the indirect compared to the direct airflow condition, but no significant correlations with simulator sickness were observed. Overall, participants reported a higher level of comfort when airflow was directed to the car’s ceiling, suggesting that indirect airflow may be the favoured setting for driving simulation studies.

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Notes

  1. 1.

    Note that data collection had to be terminated prematurely due to the COVID-19 pandemic and associated disruptions in research at KITE-UHN, resulting in a smaller sample size than originally anticipated. No sex-related difference showed in any of the simulator sickness measures and, given the small sample size, are not further reported here.

  2. 2.

    Ambient temperature inside the car was recorded during the drive using a thermistor sensor placed in the back of the driver’s seat. Due to recording issues, ambient room temperature data could not be recorded for 7 participants, we therefore do not include this measure in the data analysis.

  3. 3.

    Note that driving performance metrics were collected but are not of relevance in the context of the present publication. These results will be reported elsewhere.

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Acknowledgments

We thank Susan Gorski and Robert Shewaga for technical support as well as Niki Akbarian and Karinna Pe for their help with data collection. This work was supported by the Natural Sciences and Engineering Council (NSERC) of Canada (Discovery Grant, RGPIN-2017-04387). The funding source had no direct involvement in any research activities related to this study.

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Authors and Affiliations

  1. KITE-Toronto Rehabilitation Institute, UHN, Toronto, ON, M5G 2A2, Canada

    Elizaveta Igoshina, Frank A. Russo, Bruce Haycock & Behrang Keshavarz

  2. Ryerson University, Toronto, ON, M5B 2K3, Canada

    Elizaveta Igoshina, Frank A. Russo & Behrang Keshavarz

  3. University of Toronto, Toronto, ON, L5L 1C6, Canada

    Elizaveta Igoshina, Frank A. Russo & Bruce Haycock

Authors
  1. Elizaveta Igoshina
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  2. Frank A. Russo
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  4. Behrang Keshavarz
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Correspondence to Behrang Keshavarz .

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Editors and Affiliations

  1. U.S. Army Research Laboratory, Aberdeen Proving Ground, MD, USA

    Jessie Y. C. Chen

  2. U.S. Army Combat Capabilities Development Command Soldier Center, Orlando, FL, USA

    Gino Fragomeni

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Igoshina, E., Russo, F.A., Haycock, B., Keshavarz, B. (2022). Comparing the Effect of Airflow Direction on Simulator Sickness and User Comfort in a High-Fidelity Driving Simulator. In: Chen, J.Y.C., Fragomeni, G. (eds) Virtual, Augmented and Mixed Reality: Applications in Education, Aviation and Industry. HCII 2022. Lecture Notes in Computer Science, vol 13318. Springer, Cham. https://doi.org/10.1007/978-3-031-06015-1_15

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  • DOI: https://doi.org/10.1007/978-3-031-06015-1_15

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  • Online ISBN: 978-3-031-06015-1

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