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Beyond learning with cold machine: interpersonal communication skills as anthropomorphic cue of AI instructor
Prior research has explored the impact of diverse anthropomorphic interventions on the effectiveness of AI (artificial intelligence) instructors....
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The influence of content-relevant background color as a retrieval cue on learning with multimedia
Color has been investigated as a signaling cue in multimedia learning environments, guiding the learner’s attention and as an emotional design...
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Multi-agent air combat with two-stage graph-attention communication
Air-to-air combat system is a complex multi-agent system (MAS) wherein a large number of unmanned combat aerial vehicles learn to combat with their...
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Bayesian cue integration of structure from motion and CNN-based monocular depth estimation for autonomous robot navigation
Monocular depth estimation (MDE) provides information (from a single image) about overall scene layout, and is useful in robotics for autonomous...
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Analyzing the Effect of Visual Cue on Physiological Hand Tremor Using Wearable Accelerometer Sensors
Physiological tremors are slight oscillations that are produced when head and limbs are left unsupported in healthy individuals. This study aims to... -
Personalization of industrial human–robot communication through domain adaptation based on user feedback
Achieving safe collaboration between humans and robots in an industrial work-cell requires effective communication. This can be achieved through a...
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Improving robot-to-human communication using flexible display technology as a robotic-skin-interface: a co-design study
In the evolving field of industrial automation, operator awareness of robot actions and intentions is critical for safety and efficiency, especially...
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A review on communication cues for augmented reality based remote guidance
Remote guidance on physical tasks is a type of collaboration in which a local worker is guided by a remote helper to operate on a set of physical...
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Automated Nonverbal Cue Detection in Political-Debate Videos: An Optimized RNN-LSTM Approach
This study proposes a computational-video-analysis pipeline using OpenPose for keypoint detection, the RNN-LSTM network for constructing 12 gesture... -
Color Semantics for Visual Communication
Visual communication through information visualizations (e.g., graphs, charts, maps, diagrams, and signage) is central to how people share knowledge.... -
The combination of visual communication cues in mixed reality remote collaboration
Many researchers have studied various visual communication cues (e.g. pointer, sketch, and hand gesture) in Mixed Reality remote collaboration...
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Asymmetric Communication in Virtual Reality: Designing for Presence, Effectiveness, and Enjoyment
This paper investigates the design of multi-user virtual reality (VR) communication and collaboration, focusing on asymmetric VR where one user is... -
Psychological Aspects of Face-To-Face Versus Computer-Mediated Interpersonal Communication: An Integrative Review
Computer mediated (CM) communication has become pervasive in everyday lives of people in many societies, especially during and after the COVID... -
An Outlook for AI Innovation in Multimodal Communication Research
In the rapidly evolving landscape of multimodal communication research, this follow-up to Gregori et al. (2023) [71] explores the transformative role... -
A Social Communication Support Application for Autistic Children Using Computer Vision and Large Language Models
A novel, affordable and accessible software solution that utilizes computer vision tools and Large Language Models (LLMs) to provide communication... -
A deep learning approach to dysarthric utterance classification with BiLSTM-GRU, speech cue filtering, and log mel spectrograms
Assessing the intelligibility of dysarthric speech, characterized by intricate speaking rhythms presents formidable challenges. Current techniques...
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Now Look Here! \(\Downarrow \) Mixed Reality Improves Robot Communication Without Cognitive Overload
Recently, researchers have initiated a new wave of convergent research in which Mixed Reality visualizations enable new modalities of human-robot... -
A Study on Visual Communication with Different Conveyance Under MR Remote Collaboration
MR remote cooperative work refers to cooperative work in the MR space. In my research, it refers to cooperative work between a remote instructor... -
Maximizing Energy-Efficiency in Wireless Communication Systems Based on Deep Learning
In recent years, many power allocation algorithms to maximize energy efficiency (EE) have emerged in wireless communication systems (WCS), but these... -
Fair Resource Reusing for D2D Communication Based on Reinforcement Learning
Device-to-device (D2D) communications can improve the overall network performance, including low latency, high data rates, and system capability for...