[HTML][HTML] Opportunities for using eye tracking technology in manufacturing and logistics: Systematic literature review and research agenda
Workers play essential roles in manufacturing and logistics. Releasing workers from routine
tasks and enabling them to focus on creative, value-adding activities can enhance their …
tasks and enabling them to focus on creative, value-adding activities can enhance their …
Gaze-based intention estimation: principles, methodologies, and applications in HRI
A Belardinelli - ACM Transactions on Human-Robot Interaction, 2024 - dl.acm.org
Intention prediction has become a relevant field of research in Human–Machine and Human–
Robot Interaction. Indeed, any artificial system (co)-operating with and along humans …
Robot Interaction. Indeed, any artificial system (co)-operating with and along humans …
Xair: A framework of explainable ai in augmented reality
Explainable AI (XAI) has established itself as an important component of AI-driven
interactive systems. With Augmented Reality (AR) becoming more integrated in daily lives …
interactive systems. With Augmented Reality (AR) becoming more integrated in daily lives …
Bi-directional navigation intent communication using spatial augmented reality and eye-tracking glasses for improved safety in human–robot interaction
Safety, legibility and efficiency are essential for autonomous mobile robots that interact with
humans. A key factor in this respect is bi-directional communication of navigation intent …
humans. A key factor in this respect is bi-directional communication of navigation intent …
Folk-psychological interpretation of human vs. humanoid robot behavior: Exploring the intentional stance toward robots
People rely on shared folk-psychological theories when judging behavior. These theories
guide people's social interactions and therefore need to be taken into consideration in the …
guide people's social interactions and therefore need to be taken into consideration in the …
Eye-hand behavior in human-robot shared manipulation
Shared autonomy systems enhance people's abilities to perform activities of daily living
using robotic manipulators. Recent systems succeed by first identifying their operators' …
using robotic manipulators. Recent systems succeed by first identifying their operators' …
Anticipation in human-robot cooperation: A recurrent neural network approach for multiple action sequences prediction
Close human-robot cooperation is a key enabler for new developments in advanced
manufacturing and assistive applications. Close cooperation require robots that can predict …
manufacturing and assistive applications. Close cooperation require robots that can predict …
Communicating inferred goals with passive augmented reality and active haptic feedback
JF Mullen, J Mosier, S Chakrabarti… - IEEE Robotics and …, 2021 - ieeexplore.ieee.org
Robots learn as they interact with humans. Consider a human teleoperating an assistive
robot arm: as the human guides and corrects the arm's motion, the robot gathers information …
robot arm: as the human guides and corrects the arm's motion, the robot gathers information …
Improving autonomous vehicle visual perception by fusing human gaze and machine vision
With high-definition sensors and sophisticated machine vision algorithms, the visual
perception capability of autonomous vehicle (AV) has largely advanced. However, the visual …
perception capability of autonomous vehicle (AV) has largely advanced. However, the visual …
Coco-search18 fixation dataset for predicting goal-directed attention control
Attention control is a basic behavioral process that has been studied for decades. The
currently best models of attention control are deep networks trained on free-viewing …
currently best models of attention control are deep networks trained on free-viewing …