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Explanations in autonomous driving: A survey
The automotive industry has witnessed an increasing level of development in the past
decades; from manufacturing manually operated vehicles to manufacturing vehicles with a …
decades; from manufacturing manually operated vehicles to manufacturing vehicles with a …
How to evaluate trust in AI-assisted decision making? A survey of empirical methodologies
The spread of AI-embedded systems involved in human decision making makes studying
human trust in these systems critical. However, empirically investigating trust is challenging …
human trust in these systems critical. However, empirically investigating trust is challenging …
How does HCI understand human agency and autonomy?
Human agency and autonomy have always been fundamental concepts in HCI. New
developments, including ubiquitous AI and the growing integration of technologies into our …
developments, including ubiquitous AI and the growing integration of technologies into our …
Advancing explainable autonomous vehicle systems: A comprehensive review and research roadmap
Given the uncertainty surrounding how existing explainability methods for autonomous
vehicles (AVs) meet the diverse needs of stakeholders, a thorough investigation is …
vehicles (AVs) meet the diverse needs of stakeholders, a thorough investigation is …
How does HCI understand human autonomy and agency?
Human agency and autonomy have always been fundamental concepts in HCI. New
developments, including ubiquitous AI and the growing integration of technologies into our …
developments, including ubiquitous AI and the growing integration of technologies into our …
Cohesion in human–autonomy teams: an approach for future research
Cohesion is an important property of teams that can affect individual teammates and team
outcomes. However, cohesion in teams that include autonomous systems as teammates is …
outcomes. However, cohesion in teams that include autonomous systems as teammates is …
Characterizing drivers' peripheral vision via the functional field of view for intelligent driving assistance
Many intelligent driver assistance algorithms try to improve on-road safety by using driver
eye gaze, commonly using foveal gaze as an estimate of human attention. While human …
eye gaze, commonly using foveal gaze as an estimate of human attention. While human …
Move, Connect, Interact: Introducing a Design Space for Cross-Traffic Interaction
Rising diversity through novel forms of mobility and increasing connectivity through
intelligent systems and wireless connection is leading to a complex traffic environment …
intelligent systems and wireless connection is leading to a complex traffic environment …
Deceleration assistance mitigated the trade-off between sense of agency and driving performance
Driving assistance technology has gained traction in recent years and is becoming more
widely used in vehicles. However, drivers usually experience a reduced sense of agency …
widely used in vehicles. However, drivers usually experience a reduced sense of agency …
Autopreview: A framework for autopilot behavior understanding
The behavior of self-driving cars may differ from people's expectations (eg an autopilot may
unexpectedly relinquish control). This expectation mismatch can cause potential and …
unexpectedly relinquish control). This expectation mismatch can cause potential and …