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Evaluation of driver distraction from in-vehicle information systems: A simulator study of interaction modes and secondary tasks classes on eight production cars
16 references·0 citing·47 second hop
Evaluation of driver distraction from in-vehicle information systems: A simulator study of interaction modes and secondary tasks classes on eight production cars (2022)Evaluation of driver distraction from in-…The ability of eye-tracking metrics to classify and predict the perceived driving workload (2021)The ability of eye-tracking m…Assessing the driving distraction effect of vehicle HMI displays using data mining techniques (2020)Assessing the driving distrac…Visual and Cognitive Demands of CarPlay, Android Auto, and Five Native Infotainment Systems (2019)Visual and Cognitive Demands …Evaluation of Gesture-Based In-Vehicle Interaction: User Experience and the Potential to Reduce Driver Distraction (2019)Evaluation of Gesture-Based I…Assessing the visual and cognitive demands of in-vehicle information systems (2019)Assessing the visual and cogn…Effects of Quantity and Size of Buttons of In-Vehicle Touch Screen on Drivers’ Eye Glance Behavior (2017)Effects of Quantity and Size …Effects of interface layout on the usability of In-Vehicle Information Systems and driving safety (2017)Effects of interface layout o…Effects of Cognitive Load on Driving Performance: The Cognitive Control Hypothesis (2017)Effects of Cognitive Load on …Driving distractions: An insight gained from roadside interviews on their prevalence and factors associated with driver distraction (2017)Driving distractions: An insi…Safety-critical event risk associated with cell phone tasks as measured in naturalistic driving studies: A systematic review and meta-analysis (2015)Safety-critical event risk as…Multi-modal assessment of on-road demand of voice and manual phone calling and voice navigation entry across two embedded vehicle systems (2015)Multi-modal assessment of on-…Why do drivers maintain short headways in fog? A driving-simulator study evaluating feeling of risk and lateral control during automated and manual car following (2012)Why do drivers maintain short…A Field Study on the Impact of Variations in Short-Term Memory Demands on Drivers’ Visual Attention and Driving Performance Across Three Age Groups (2012)A Field Study on the Impact o…Driver distraction and driver inattention: Definition, relationship and taxonomy (2011)Driver distraction and driver…Driver performance while text messaging using handheld and in-vehicle systems (2010)Driver performance while text…NHTSA DRIVER DISTRACTION RESEARCH: PAST, PRESENT, AND FUTURE (2001)NHTSA DRIVER DISTRACTION RESE…Cognitive Reliability and Error Analysis Method (CREAM) (1998)Stream of consciousness (1998)Real-Time Detection System of Driver Distraction Using Machine Learning (2013)Recent Trends in Driver Safety Monitoring Systems: State of the Art and Challenges (2016)Driver Distraction Detection Methods: A Literature Review and Framework (2021)Examining the Impact of Cell Phone Conversations on Driving Using Meta-Analytic Techniques (2006)Passenger and cell phone conversations in simulated driving. (2008)Text Messaging During Simulated Driving (2009)To text or not to text? The importance of text messaging among college-aged youth (2011)Mobile phone messaging reminders for attendance at healthcare appointments (2013)The association between the use of social network sites, sleep quality and cognitive function during the day (2015)Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research (1988)Vision in vehicles – III (1992)Nasa-Task Load Index (NASA-TLX); 20 Years Later (2006)Responses to Take-Over Request in Autonomous Vehicles: Effects of Environmental Conditions and Cues (2022)Mental workload while driving: Effects on visual search, discrimination, and decision making. (2003)Effects of visual and cognitive load in real and simulated motorway driving (2005)An on-road assessment of cognitive distraction: Impacts on drivers’ visual behavior and braking performance (2006)Investigating the influence of working memory capacity when driving behavior is combined with cognitive load: An LCT study of young novice drivers (2013)The sensitivity of different methodologies for characterizing drivers’ gaze concentration under increased cognitive demand (2014)The effect of age, gender and roadway environment on the acceptance and effectiveness of Advanced Driver Assistance Systems (2015)Meta-analysis of Observational Studies in Epidemiology A Proposal for Reporting (2000)The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement: Guidelines for Reporting Observational Studies (2007)The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies (2008)Collision risk management of cognitively distracted drivers in a car-following situation (2018)Driving behaviour while self-regulating mobile phone interactions: A human-machine system approach (2018)Getting away with texting: Behavioural adaptation of drivers engaging in visual-manual tasks while driving (2018)Categorization of action slips. (1981)Multiple resources and performance prediction (2002)Surfing Uncertainty (2015)Automated driving reduces perceived workload, but monitoring causes higher cognitive load than manual driving (2018)Domains of cognition and their assessment (2019)Toward Computational Simulations of Behavior During Automated Driving Takeovers: A Review of the Empirical and Modeling Literatures (2019)The effects of mobile telephoning on driving performance (1991)Using mobile telephones: cognitive workload and attention resource allocation (2003)Effects of visual complexity of in-vehicle information display: Age-related differences in visual search task in the driving context (2019)Driving mental workload and performance of ageing drivers (2020)On the economy of the human-processing system. (1979)Multiple Resources and Mental Workload (2008)Voice-based conversational agents for sensing and support: Examples from academia and industry (2022)Testing Road Vehicle User Interfaces Concerning the Driver’s Cognitive Load (2023)Cell phone-induced failures of visual attention during simulated driving. (2003)Methods to Detect and Reduce Driver Stress: A Review (2019)Effects of Non-Driving-Related Task Attributes on Takeover Quality in Automated Vehicles (2020)Safety implications of providing real-time feedback to distracted drivers (2006)DriveSafe: An app for alerting inattentive drivers and scoring driving behaviors (2014)Assessing Cognitive Distraction in the Automobile (2015)
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References

  • 2011Driver distraction and driver inattention: Definition, relationship and taxonomy503 cited
  • 2017Effects of Cognitive Load on Driving Performance: The Cognitive Control Hypothesis299 cited
  • 2001NHTSA DRIVER DISTRACTION RESEARCH: PAST, PRESENT, AND FUTURE281 cited
  • 2010Driver performance while text messaging using handheld and in-vehicle systems161 cited
  • 2012A Field Study on the Impact of Variations in Short-Term Memory Demands on Drivers’ Visual Attention and Driving Performance Across Three Age Groups154 cited
  • 2015Safety-critical event risk associated with cell phone tasks as measured in naturalistic driving studies: A systematic review and meta-analysis143 cited
  • 2017Effects of interface layout on the usability of In-Vehicle Information Systems and driving safety91 cited
  • 2015Multi-modal assessment of on-road demand of voice and manual phone calling and voice navigation entry across two embedded vehicle systems84 cited
  • 2012Why do drivers maintain short headways in fog? A driving-simulator study evaluating feeling of risk and lateral control during automated and manual car following80 cited
  • 2019Assessing the visual and cognitive demands of in-vehicle information systems78 cited
  • 2021The ability of eye-tracking metrics to classify and predict the perceived driving workload77 cited
  • 2017Driving distractions: An insight gained from roadside interviews on their prevalence and factors associated with driver distraction76 cited
  • 2019

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Evaluation of Gesture-Based In-Vehicle Interaction: User Experience and the Potential to Reduce Driver Distraction
62 cited
  • 2019Visual and Cognitive Demands of CarPlay, Android Auto, and Five Native Infotainment Systems53 cited
  • 2017Effects of Quantity and Size of Buttons of In-Vehicle Touch Screen on Drivers’ Eye Glance Behavior52 cited
  • 2020Assessing the driving distraction effect of vehicle HMI displays using data mining techniques51 cited
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