Topic: mental_demand
28 paper(s)
- Understanding Driver Cognition and Decision-Making Behaviors in High-Risk Scenarios: A Drift Diffusion Perspective · 2025 · Heye Huang et al. · archived
- Multidimensional Assessment of Takeover Performance in Conditionally Automated Driving · 2025 · Kexin Liang et al. · archived
- Enhancing Cognitive Workload Classification Using Integrated LSTM Layers and CNNs for fNIRS Data Analysis · 2025 · Khan, Mehshan Ahmed et al. · indexed
- Vision-Language Hazard Reasoning for Driver Distraction and Workload Estimation · 2025 · Ng, Shu-Kay et al. · indexed
- The Mind-Wandering Phenomenon While Driving: A Systematic Review · 2025 · Voinea,Gheorghe-Daniel et al. · indexed
- Modeling Drivers' Risk Perception via Attention to Improve Driving Assistance · 2024 · Biswas, Abhijat et al. · archived
- Using the ISO detection response task to measure the cognitive load of driving four separate vehicles on two distinct highways · 2024 · Biondi, FN et al. · archived
- Functional near-infrared spectroscopy (fNIRS) and Eye tracking for Cognitive Load classification in a Driving Simulator Using Deep Learning · 2024 · Mehshan Ahmed Khan et al. · archived
- Predicting cognitive load in immersive driving scenarios with a hybrid CNN-RNN model · 2024 · Mehshan Ahmed Khan et al. · archived
- A multi-method approach to understanding drivers' experiences and behavior under partial vehicle automation · 2023 · Strayer, DL et al. · archived
- This is your brain on autopilot: Neural indices of driver workload and engagement during partial vehicle automation · 2023 · McDonnell, AS et al. · archived
- Detection of Driving Distractions and Their Impacts · 2023 · Shajari, Arian et al. · indexed
- What's on your mind? A Mental and Perceptual Load Estimation Framework towards Adaptive In-vehicle Interaction while Driving · 2022 · Amr Gomaa et al. · archived
- Driver State Modeling through Latent Variable State Space Framework in the Wild · 2022 · Arash Tavakoli et al. · archived
- Quantifying the Individual Differences of Driver' Risk Perception with Just Four Interpretable Parameters · 2022 · Chen Chen et al. · archived
- In-Vehicle Interface Adaptation to Environment-Induced Cognitive Workload · 2022 · Elena Meiser et al. · archived
- The power and sensitivity of four core driver workload measures for benchmarking the distraction potential of new driver vehicle interfaces · 2021 · McDonnell, AS et al. · archived
- Real-time prediction of short-timescale fluctuations in cognitive workload · 2021 · Boehm, U et al. · archived
- Driver's arousal and workload under partial vehicle automation · 2020 · Strayer, DL et al. · archived
- Physiological metrics of mental workload: A review of recent progress · 2020 · Kramer, Arthur F. · indexed
- Examining the Effects of Emotional Valence and Arousal on Takeover Performance in Conditionally Automated Driving · 2020 · Na Du et al. · archived
- Psychophysiological responses to takeover requests in conditionally automated driving · 2020 · Na Du et al. · archived
- Cognitive Workload Modeling of Task Priority in Detection and Choice Tasks · 2019 · Castro, Spencer C. · archived
- Time Sharing Between Robotics and Process Control · 2016 · Christopher D. Wickens et al. · indexed
- We don't need no stinkin' badges: The impact of reward features and feeling rewarded in educational games · 2015 · Filsecker, Michael et al. · indexed
- The Role of Working Memory in Levels of Situation Awareness · 2012 · Gutzwiller, Robert S. et al. · indexed
- Dynamic Models of Augmented Cognition · 2004 · Reeves, Leah M. et al. · indexed
- Processing resource demands of failure detection in dynamic systems. · 1979 · Wickens, C. D. et al. · indexed