Latest Research in Human-Automation Interaction and Safety
14 research papers · 2026 median publication year
Top Research Topics in Human-Automation Interaction and Safety
- Human-Automation Interaction and Safety — 8 papers
- Mind wandering and attention — 1 papers
- Gaze Tracking and Assistive Technology — 1 papers
- Traffic and Road Safety — 1 papers
- Social and Information Networks — 1 papers
- Cellular and Composite Structures — 1 papers
- Human-Computer Interaction — 1 papers
Highest-Cited Papers
- Multimodal Physiological Assessment of Attentional States and Driving Styles in Simulated Driving
- The impact of partial automation and cognitive load on drivers’ visual search strategies in an urban driving environment
- Affordance-Based Interaction Design for Intelligent Cockpit Touchscreens: Effects on Safety Perception and User Experience
- QN-MHPV2: A Physiologically Grounded Cognitive Model of Takeover Time in Conditionally Automated Driving
- Evaluating an AI-enhanced power wheelchair obstacle alert system: Effects of multimodal warning design on warning-response behavior
- Effects of AR-HUD Navigation Symbols on Lateral Fixation Transitions and the Spatial Distribution of Driver Attention: An Eye-Tracking Study
- From Protocol to Structured Gaze Patterns: The Effectiveness of Systematic Viewing in Remote Nautical Object Control
- Evaluating the effectiveness of roadside auditory warnings in tunnel noise: a staged auditory information processing perspective
- The Workload Multiverse: How Analytic Decisions Shape Gaze-Based Measures of Mental Workload
- SocialBuddy: Tailoring Search Agent for Social Scenarios
- Design and performance evaluation of a bio-inspired multilayer helmet liner for rotational impact mitigation
- Multimodal Takeover Requests for Drivers with Hearing Loss: Implications for AI-Enabled Communication in Automated Vehicles
- Driver proficiency assessment using multidimensional driving simulator data and machine learning
- Content Matters: Visual (Alert) Messages as Primes for Guiding Driver Attention in a Visual Search Task