What's on your mind? A Mental and Perceptual Load Estimation Framework towards Adaptive In-vehicle Interaction while Driving
Gomaa A, Alles A, Meiser E, Rupp LH, Molz M, Reyes G (2022)
Publication Type: Conference contribution
Publication year: 2022
Publisher: Association for Computing Machinery, Inc
Pages Range: 215-225
Conference Proceedings Title: Main Proceedings - 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022
Event location: Seoul
ISBN: 9781450394154
Abstract
Several researchers have focused on studying driver cognitive behavior and mental load for in-vehicle interaction while driving. Adaptive interfaces that vary with mental and perceptual load levels could help in reducing accidents and enhancing the driver experience. In this paper, we analyze the effects of mental workload and perceptual load on psychophysiological dimensions and provide a machine learning-based framework for mental and perceptual load estimation in a dual task scenario for in-vehicle interaction (https://github.com/amrgomaaelhady/MWL-PL-estimator). We use off-the-shelf non-intrusive sensors that can be easily integrated into the vehicle's system. Our statistical analysis shows that while mental workload influences some psychophysiological dimensions, perceptual load shows little effect. Furthermore, we classify the mental and perceptual load levels through the fusion of these measurements, moving towards a real-time adaptive in-vehicle interface that is personalized to user behavior and driving conditions. We report up to 89% mental workload classification accuracy and provide a real-time minimally-intrusive solution.
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Germany (DE)How to cite
APA:
Gomaa, A., Alles, A., Meiser, E., Rupp, L.H., Molz, M., & Reyes, G. (2022). What's on your mind? A Mental and Perceptual Load Estimation Framework towards Adaptive In-vehicle Interaction while Driving. In Main Proceedings - 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022 (pp. 215-225). Seoul, KR: Association for Computing Machinery, Inc.
MLA:
Gomaa, Amr, et al. "What's on your mind? A Mental and Perceptual Load Estimation Framework towards Adaptive In-vehicle Interaction while Driving." Proceedings of the 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022, Seoul Association for Computing Machinery, Inc, 2022. 215-225.
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