[HTML][HTML] Deep learning for intelligent human–computer interaction

Z Lv, F Poiesi, Q Dong, J Lloret, H Song - Applied Sciences, 2022 - mdpi.com
In recent years, gesture recognition and speech recognition, as important input methods in
Human–Computer Interaction (HCI), have been widely used in the field of virtual reality. In …

A systematic review of human–computer interaction (HCI) research in medical and other engineering fields

A Sadeghi Milani, A Cecil-Xavier, A Gupta… - … Journal of Human …, 2024 - Taylor & Francis
This article provides a systematic review of research related to Human–Computer Interaction
techniques supporting training and learning in various domains including medicine …

State-of-the-art human-computer-interaction in metaverse

Z Lyu - International Journal of Human–Computer Interaction, 2024 - Taylor & Francis
With the increasing popularity of the Metaverse concept, human beings have stepped to a
new height in the intelligent technology progress. This work presents a literature review of …

Computers and human behavior in the smart city: Issues, topics, and new research directions

A Visvizi - Computers in Human Behavior, 2023 - Elsevier
Increasingly, our understanding of what smart cities and human-computer behavior
represent and embody, is shaped by our first-hand experience of both. Whereas there is a …

Sensing technologies and child–computer interaction: Opportunities, challenges and ethical considerations

K Sharma, M Giannakos - International Journal of Child-Computer …, 2021 - Elsevier
This study presents the outcomes of a systematic literature review of empirical evidence on
the capabilities of sensing technologies for child–computer interaction (CCI). This paper …

Intervention and regulatory mechanism of multimodal fusion natural interactions on AR embodied cognition

J Yong, J Wei, X Lei, Y Wang, J Dang, W Lu - Information Fusion, 2025 - Elsevier
Multiple interaction modes, such as gestures and physical objects, coexist in the process of
AR (Augmented Reality) embodied cognition. On the basis of the unified representation of …

Digital tools for direct assessment of autism risk during early childhood: A systematic review

D Mukherjee, S Bhavnani, G Lockwood Estrin… - …, 2024 - journals.sagepub.com
Current challenges in early identification of autism spectrum disorder lead to significant
delays in starting interventions, thereby compromising outcomes. Digital tools can potentially …

Social robots for joint attention development in autism spectrum disorder: A systematic review

S Sani-Bozkurt, G Bozkus-Genc - International Journal of Disability …, 2023 - Taylor & Francis
With technological developments in the 21st century, robot applications have proven to be
beneficial in providing some opportunities to help with teaching numerous skills such as …

[HTML][HTML] A new multi-criteria decision-making approach for the design and selection of materials and manufacturing processes of toys for children with autism

RC Cañete, A Picardo, P Trueba, Y Torres… - Materials Today …, 2024 - Elsevier
The efficiency and comfort of daily tasks are intricately shaped by the dynamic interaction
between users and technology. User perceptions wield significant influence over initial …

Virtual/augmented reality for joint attention skills improvement in autism spectrum disorder: a systematic review

H Yazdanian, AM Vakili, A Soltani… - International Journal …, 2023 - Taylor & Francis
Deficits in joint attention (JA) are among the earliest hallmarks of autism spectrum disorder
(ASD) and are targeted in early intervention programs. Virtual reality (VR) and augmented …