Trust in machines: how personality trait shapes static and dynamic trust across different human–machine interaction modalities [PDF]
Frontiers in PsychologyWith the rapid advancement of Artificial Intelligence (AI), intelligent machines are increasingly displaying “human-like personality,” shifting Human–Machine Interaction (HMI) from one-way guidance to interactive, multi-level dynamics.
Yi Zhu +4 more
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Multimodal GRU with directed pairwise cross-modal attention for sentiment analysis [PDF]
Scientific ReportsMultimodal sentiment analysis combines text, audio, and visual signals to understand human emotions. However, current methods often face challenges in handling asynchronous signals and capturing long-term dependencies between different modalities.
Zhenkai Qin +3 more
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Electrophysiological and kinematic correlates of communicative intent in the planning and production of pointing gestures and speech [PDF]
, 2015 Acknowledgements We thank Albert Russel for assistance in setting up the experiments, and Charlotte Paulisse for help in data collection.Peer reviewedPublisher ...
Chu, Mingyuan +4 more
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Interactions in Augmented and Mixed Reality: An Overview
Applied Sciences, 2021 “Interaction” represents a critical term in the augmented and mixed reality ecosystem. Today, in mixed reality environments and applications, interaction occupies the joint space between any combination of humans, physical environment, and computers ...
Theofilos Papadopoulos +4 more
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Frontiers in Virtual Reality, 2023 Mixed reality has made its first step towards democratization in 2017 with the launch of a first generation of commercial devices. As a new medium, one of the challenges is to develop interactions using its endowed spatial awareness and body tracking ...
Richard Nguyen +2 more
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LibEMG: An Open Source Library to Facilitate the Exploration of Myoelectric Control
IEEE Access, 2023 Myoelectric control has been used predominantly in the field of prosthetics, but is an increasingly promising hands-free input modality for emerging consumer markets such as mixed reality.
Ethan Eddy +4 more
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A Review on Computer Vision-Based Methods for Human Action Recognition
Journal of Imaging, 2020 Human action recognition targets recognising different actions from a sequence of observations and different environmental conditions. A wide different applications is applicable to vision based action recognition research.
Mahmoud Al-Faris +3 more
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Multi-Modal Residual Perceptron Network for Audio–Video Emotion Recognition
Sensors, 2021 Emotion recognition is an important research field for human–computer interaction. Audio–video emotion recognition is now attacked with deep neural network modeling tools.
Xin Chang, Władysław Skarbek
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Human-Computer Interaction for BCI Games: Usability and User Experience [PDF]
, 2010 Brain-computer interfaces (BCI) come with a lot of issues, such as delays, bad recognition, long training times, and cumbersome hardware. Gamers are a large potential target group for this new interaction modality, but why would healthy subjects want to ...
Gürkök, Hayrettin +8 more
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GazeGuide: An Eye-Gaze-Guided Active Immersive UAV Camera
Applied Sciences, 2020 Over the years, gaze input modality has been an easy and demanding human−computer interaction (HCI) method for various applications. The research of gaze-based interactive applications has advanced considerably, as HCIs are no longer constrained to
Pavan Kumar B. N. +4 more
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